Supply chain toughness improving method and system based on multi-objective optimization

Abstract

The invention relates to a supply chain toughness improving method and system based on multi-objective optimization. The method comprises the following steps: acquiring a real-time data stream, performing pattern matching analysis on the real-time data stream, identifying a risk event, and obtaining a risk event report; based on the risk event report, selecting a corresponding processing strategy from a preset coping strategy library to obtain a coping scheme; based on cross-period conflict assessment, identifying long-term strategic resources used by each coping scheme to obtain a conflict assessment report; on the basis of the conflict evaluation report, supplementing consumed resources corresponding to the coping scheme to obtain a comprehensive optimal scheme; the comprehensive optimal scheme is used for assisting a supply chain. By adopting the method, the cost of inter-period conflicts can be quantified, and selection and rejection are carried out in measures of different time scales, so that the overall toughness of the supply chain is effectively improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of intelligent avoidance of supply chain risks, and particularly relates to a supply chain resilience improvement method and system based on multi-objective optimization. BACKGROUND

[0002] With the in-depth development of supply chain digitization and intelligent decision-making technology, intelligent collaborative technology capable of integrating multi-source data and performing real-time simulation and optimization has emerged. The core feature of this technology is its systematicness and dynamics, which can break through the information and time barriers in traditional decision-making modes and achieve global coordination across links and cycles. This enables us to re-examine and innovate the traditional supply chain resilience improvement method. In the traditional technical framework, the construction of supply chain resilience usually relies on hierarchical and isolated decision-making processes. Long-term strategic planning, medium-term tactical adjustment and short-term emergency response are regarded as independent management activities, which are formulated and executed by different departments at different time scales. When dealing with risks, each level often prioritizes local optimization within its own time period - short-term response seeks timeliness at the expense of a large amount of resources, medium-term scheduling seeks stability by avoiding fluctuations, and long-term investment focuses on structural improvement but is difficult to resist daily shocks. The connection between the links is mainly achieved through fixed budget segmentation, static resource allocation and periodic conference coordination. However, this traditional hierarchical processing method has exposed its fundamental defects in practice. The decision-making objectives of different time scales are mutually restrictive, and the optimization processes are contradictory, resulting in systematic internal consumption. Short-term emergency response constantly erodes the strategic resources reserved for medium- and long-term resilience, while medium- and long-term planning stagnates or fails due to the diversion of resources. Resources, funds and capacity are repeatedly claimed between measures at different time scales, but there is no effective mechanism to quantify the cost of this cross-period conflict and make a global optimal trade-off. Ultimately, enterprises often fall into the dilemma of being overwhelmed by short-term tasks and stagnant in long-term development, and the overall resilience of the supply chain is difficult to improve substantially. SUMMARY

[0003] Therefore, it is necessary to provide a supply chain resilience improvement method and system based on multi-objective optimization, which can resolve the conflict between short-term resources and long-term resources and improve the overall resilience of the supply chain.

[0004] In a first aspect, the application provides a supply chain resilience improvement method based on multi-objective optimization, comprising:

[0005] obtaining a real-time data stream and performing pattern matching analysis on the real-time data stream to identify a risk event and obtain a risk event report; the real-time data stream includes real-time operation data, external environment data, historical interruption patterns and supply chain configuration;

[0006] Based on the risk event report, select the corresponding disposal strategy from the preset coping strategy library to obtain the coping scheme;

[0007] Based on the cross-period conflict evaluation, identify the long-term strategic resources used by each coping scheme to obtain a conflict evaluation report;

[0008] Based on the conflict evaluation report, supplement the consumed resources corresponding to the coping scheme to obtain a comprehensive optimal scheme; the comprehensive optimal scheme is used to assist in supply chain management.

[0009] Further, based on the risk event report, select the corresponding disposal strategy from the preset coping strategy library to obtain the coping scheme, comprising:

[0010] Match the risk level and risk type in the risk event report with the corresponding disposal strategy in the coping strategy library to obtain a basic coping strategy list;

[0011] Based on the basic coping strategy list, calculate the consumed resources of each disposal strategy to obtain a resource demand list;

[0012] Based on the resource demand list, perform a feasibility analysis on each disposal strategy to obtain a feasibility evaluation report;

[0013] Based on the historical coping case library and the feasibility report, optimize the key parameters of the disposal strategy to obtain a coping draft;

[0014] Traverse the consumed resources planned in the coping draft, mark the coping draft containing long-term strategic resources, and obtain the coping scheme.

[0015] Further, based on the resource demand list, perform a feasibility analysis on each disposal strategy to obtain a feasibility evaluation report, comprising:

[0016] Take each consumed resource in the resource demand list as an index to traverse the real-time resource database to obtain a resource availability result; the resource availability result includes at least one of complete satisfaction, partial satisfaction, and non-satisfaction;

[0017] By the following formula, the disposal strategies corresponding to partial satisfaction and non-satisfaction in the resource availability result are evaluated for time feasibility to obtain a time feasibility result:

[0018]

[0019] wherein, is the time feasibility result, , , is a weight coefficient, n is the total number of consumed resources required by the disposal strategy, is the time matching degree of the ith resource, is a time window satisfaction degree, m is a total number of time risk factors, is a contribution degree of the jth time risk factor;

[0020] Based on the time feasibility result, a cost assessment is performed on the consumed resources to obtain a cost feasibility result;

[0021] Based on the resource availability result, the time feasibility result and the cost feasibility result, a weighted summation is performed to obtain a feasibility score;

[0022] Based on the feasibility score and a preset feasibility threshold, a treatment strategy with a feasibility score greater than the feasibility threshold is screened out to obtain a feasibility evaluation report.

[0023] Further, based on the conflict evaluation report, the consumed resources corresponding to the coping scheme are supplemented to obtain a comprehensive optimal scheme, including:

[0024] A core evaluation dimension is extracted from the conflict evaluation report, and a weighted summation is performed on the core evaluation dimension according to the weight distribution in the enterprise decision preference parameter table to obtain a comprehensive value evaluation result; the core evaluation dimension includes: total cost benefit, recovery timeliness, long-term impact degree and execution risk level;

[0025] Based on the comprehensive value evaluation result, the long-term resource consumption of the coping scheme is checked to obtain a scheme compensation determination result;

[0026] Based on the scheme compensation determination result, a compensation measure is matched from a compensation measure library to obtain a scheme combination package;

[0027] The scheme combination package is subjected to comprehensive value evaluation to obtain a comprehensive value score, and the scheme combination package with the highest comprehensive value score is determined as the comprehensive optimal scheme.

[0028] Further, based on the scheme compensation determination result, a compensation measure is matched from a compensation measure library to obtain a scheme combination package, including:

[0029] Based on each coping scheme that needs to be compensated in the scheme compensation determination result, a compensation demand analysis is performed to obtain a compensation demand report;

[0030] Based on the compensation demand report and a preset compensation rule, a compensation measure is screened out from the compensation measure library to obtain an applicable compensation list;

[0031] Based on the applicable compensation list, the coordination of each compensation measure and the corresponding coping scheme is evaluated to obtain a coordination evaluation result;

[0032] Based on the coordination evaluation result, a compensation measure is selected to obtain a coordinated compensation measure, and the coordinated compensation measure and the coping scheme are integrated to obtain a scheme combination package.

[0033] Further, based on the cross-period conflict evaluation, identify the long-term strategic resources used by each response scheme, and obtain a conflict evaluation report, including:

[0034] Iterate through the response schemes, calculate the long-term strategic resources consumed by the response schemes, and obtain a long-term resource usage report;

[0035] Based on the long-term resource usage report, calculate the borrowing cost of resources by the following formula, and obtain a cost breakdown table;

[0036]

[0037] wherein, is the borrowing cost of the ith long-term strategic resource, i is the index of the long-term strategic resource, is the unit time delay cost coefficient of the ith resource, is the planned occupation time of the ith resource, is the importance weight of the ith resource, is the emergency use unit acquisition cost of the ith resource, is the original planning unit acquisition cost of the ith resource, is the usage quantity of the ith resource, is the expected unit time revenue of the ith resource in the long-term planning, is the opportunity cost coefficient of the ith resource;

[0038] Based on the cost breakdown table, evaluate the time delay of the long-term strategic planning caused by each response scheme, and obtain a long-term planning delay impact report;

[0039] Based on the long-term planning delay impact report and the cost breakdown table, generate a conflict evaluation report.

[0040] In a second aspect, the present application also provides a supply chain resilience improvement system based on multi-objective optimization, comprising:

[0041] A matching module for obtaining real-time data streams and performing pattern matching analysis on the real-time data streams to identify risk events and obtain a risk event report; the real-time data streams include real-time operation data, external environment data, historical interruption patterns and supply chain configuration;

[0042] A strategy module for selecting corresponding disposal strategies from a pre-set response strategy library based on the risk event report to obtain response schemes;

[0043] A conflict module for identifying the long-term strategic resources used by each response scheme based on cross-period conflict evaluation to obtain a conflict evaluation report;

[0044] A supplement module is configured to supplement the consumed resources corresponding to the coping strategies based on the conflict evaluation report to obtain a comprehensive optimal strategy, and the comprehensive optimal strategy is configured to assist in the supply chain.

[0045] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any step of the method provided in the first aspect of the present application when executing the computer program.

[0046] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program implements any step of the method provided in the first aspect of the present application when executed by a processor.

[0047] The above-mentioned supply chain resilience improvement method and system based on multi-objective optimization can obtain real-time data flow, perform pattern matching analysis on the real-time data flow, identify risk events, and obtain a risk event report. The real-time data flow includes real-time operation data, external environment data, historical interruption patterns, and supply chain configuration. Based on the risk event report, a corresponding disposal strategy is selected from a preset coping strategy library to obtain a coping strategy. Based on cross-period conflict evaluation, long-term strategic resources used by each coping strategy are identified to obtain a conflict evaluation report. Based on the conflict evaluation report, consumed resources corresponding to the coping strategies are supplemented to obtain a comprehensive optimal strategy. The comprehensive optimal strategy is used to assist in the supply chain. The method can effectively resolve the conflict between long-term strategic goals and short-term risk emergency resource requirements, avoid unlimited occupation of resources by short-term risk emergency for long-term strategic goals, supplement resources for long-term strategic goals, realize long-term goal planning of the supply chain, and further improve the resilience of the supply chain. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments or the related art, the drawings needed in the embodiments or the related art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0049] Figure 1 A flowchart of a supply chain resilience improvement method based on multi-objective optimization provided by an embodiment of the present application is shown in the figure.

[0050] Figure 2 A structure diagram of a supply chain resilience improvement system based on multi-objective optimization provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0051] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0052] In one embodiment, as shown in Figure 1 a supply chain resilience improvement method based on multi-objective optimization is provided, and the present embodiment takes the method applied to a terminal as an example. It should be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is realized through the interaction of the terminal and the server. In the present embodiment, the method includes the following steps:

[0053] In step 101, real-time data streams are obtained, and pattern matching analysis is performed on the real-time data streams to identify risk events and obtain a risk event report; the real-time data streams include real-time operation data, external environment data, historical interruption patterns and supply chain configurations.

[0054] The real-time data stream is an input information source, a continuously incoming data set reflecting the current situation, including real-time operation data, which is the core data of the current operation of the supply chain, such as production line throughput, warehouse inventory level, vehicle position and state in transit, order completion rate, equipment failure alarm, etc. External environment data is information from outside the enterprise that may affect the stability of the supply chain, such as weather, earthquake warning, traffic conditions, geopolitical events, and news of price fluctuations of key raw materials. Historical disruption patterns are a record library of past supply chain disruption events, including the causes, evolution process, impact range, and measures taken at the time and their effects, which are an experience library for identifying risks. Supply chain configuration is static structural information of the supply chain, such as supplier information, factories, distribution centers, transportation routes, and connection relationships and key parameters between supply chains, which is the basis map for assessing the impact range of risks. Pattern matching analysis is a data analysis technique, the core of which is to compare the current state of the real-time data stream with known historical disruption patterns, continuously monitor the data stream, and look for similar data characteristics or abnormal sequences before the occurrence of historical disruption events. For example, the real-time data stream shows that an earthquake has occurred in the location of a major supplier and that the goods of the supplier are overdue for updating, and this pattern is matched with the pattern of supplier disruption caused by natural disasters in the historical library. A risk event is a specific and explicit potential or ongoing threat identified through pattern matching analysis, which is a specific event instance with a detailed description. A risk event report is a structured document that provides a detailed description of the identified risk event. The report should at least include: risk event type, risk level, detailed description of the risk event, possible impact on the supply chain, potential negative impact scale, and basis for discovery. The terminal continuously pulls or receives real-time data streams from various internal systems and external data sources, cleans and processes the incoming data, extracts key feature indicators such as order delay rate, inventory decline rate, and distance between geographic events and key nodes, and calculates the similarity of the extracted features with the patterns in the historical disruption pattern library using a rule engine or more complex machine learning models. When the similarity exceeds the preset threshold, a risk event is determined to have occurred, and a risk event report is automatically generated.

[0055] Step 102, based on the risk event report, select the corresponding disposal strategy from the preset response strategy library to obtain a response scheme.

[0056] Specifically, the coping strategy library is a pre-defined set of treatment measures, and each treatment strategy in the library is aimed at a specific type and level of risk and contains a specific action plan. The treatment strategy is a specific method to cope with risk, and each strategy itself should include its applicable conditions, action steps, and estimated resource consumption. The coping scheme is a preliminary combination of one or more treatment strategies, which aims to directly cope with the problems indicated in the risk event report and is an ideal preliminary solution. The terminal reads the risk event report, extracts key features such as the type, level, and affected link of the risk event, selects the corresponding treatment strategy from the pre-set coping strategy library, and extracts the features from the report as conditions to search and match in the coping strategy library. All treatment strategies that meet the conditions are selected, and one or more selected treatment strategies are preliminarily combined to form a coping scheme for the current risk, which can be further evaluated.

[0057] Step 103, based on the cross-period conflict evaluation, identifying the long-term strategic resources used by each coping scheme, and obtaining a conflict evaluation report.

[0058] Specifically, the cross-period conflict evaluation is an evaluation perspective, which refers to evaluating whether the current short-term decision will have a negative impact or conflict with future long-term planning. The core is to measure the trade-off between short-term interests and long-term interests. Long-term strategic resources refer to key resources that are of strategic significance to the long-term development of an enterprise and are limited. They are usually pre-planned for important strategic projects. Examples include dedicated capacity reserved for new product lines, key R&D budgets, and deep cooperation quotas with strategic partners. The conflict evaluation report is an evaluation document that aims to reveal the potential long-term costs that each coping scheme may cause after consuming long-term strategic resources, such as potential impacts on strategic project progress and financial status. The terminal analyzes each generated coping scheme in detail, checks which long-term strategic resources need to be called during execution, how much quantity, and how long duration, based on the identification, evaluates the conflicts caused by resource calling behavior, and generates a conflict evaluation report by summarizing the evaluation results. The report shows the side effects of different coping schemes on long-term development when solving the current problem.

[0059] Step 104, based on the conflict evaluation report, supplementing the consumed resources corresponding to the coping scheme to obtain a comprehensive optimal scheme; the comprehensive optimal scheme is used to assist in supply chain management.

[0060] Specifically, the supplement is to adjust and improve the response plan according to the problems revealed in the conflict assessment report to balance short-term and long-term needs. The comprehensive optimal solution is an action plan that has been comprehensively evaluated and optimized, which can effectively respond to the current risk event and minimize its negative impact on the long-term strategy, or has taken compensatory measures, and is the optimal choice that takes into account timeliness, effectiveness and sustainability. The terminal takes the conflict assessment report as the core basis to review and compare the pros and cons of each response plan, and supplements the consumed resources corresponding to the plan. For example, if the report shows that a certain plan will seriously occupy strategic funds, the supplement measures include adjusting the execution pace of the plan to reduce short-term financial pressure, finding alternative sources for occupied funds, or modifying the plan itself to use non-strategic resources instead. By supplementing and optimizing one or more candidate solutions, the most ideal solution is generated under the overall trade-off, that is, the comprehensive optimal solution.

[0061] The embodiment provides a supply chain resilience improvement method based on multi-objective optimization. Real-time data streams are acquired, and pattern matching analysis is performed on the real-time data streams to identify risk events and obtain a risk event report. The real-time data streams include real-time operation data, external environment data, historical interruption patterns and supply chain configurations. Based on the risk event report, corresponding disposal strategies are selected from a preset response strategy library to obtain response plans. Based on cross-period conflict assessment, long-term strategic resources used by each response plan are identified to obtain a conflict assessment report. Based on the conflict assessment report, consumed resources corresponding to the response plans are supplemented to obtain a comprehensive optimal solution. The comprehensive optimal solution is used to assist in supply chain. Through the above means, the competition for resource demand between the long-term strategic goal and the short-term risk emergency in two different states can be effectively resolved, and the resources occupied by the short-term risk emergency without upper limit from the long-term strategic goal are avoided. The long-term strategic goal is supplemented with resources, the long-term goal planning of the supply chain is realized, and the resilience of the supply chain is improved.

[0062] In one of the embodiments, based on the risk event report, corresponding disposal strategies are selected from a preset response strategy library to obtain response plans, including:

[0063] In step 201, the risk level and risk type in the risk event report are matched with corresponding disposal strategies in the response strategy library to obtain a basic response strategy list.

[0064] The risk level and risk type are derived from risk event reports. The risk type describes the nature of the risk, such as supplier disruption, transportation delay, or demand surge; the risk level describes the severity of the risk. The response strategy library is a predefined database storing various handling strategies. Each strategy in the library is labeled with its applicable risk type and level. A handling strategy is a pre-designed specific response method or action plan for a particular risk. The basic response strategy list is a list of all handling strategies that match the risk level and risk type of the current risk event. This list represents the initial screening results and includes all theoretically relevant options. The terminal retrieves risk event reports, extracts the risk type and risk level, and uses these two features as query criteria to search the response strategy library. All matched handling strategies are aggregated to form the basic response strategy list, which serves as the starting point for all subsequent analysis.

[0065] Step 202: Based on the basic response strategy list, calculate the resources consumed by each response strategy to obtain a resource requirement list.

[0066] Specifically, resource consumption refers to the various costs incurred in implementing a response strategy, including not only tangible material resources but also intangible resources such as capital costs, the occupancy time of specific equipment or production lines, human resource hours, and additional transportation capacity. The resource requirement list is a detailed report that lists all types and estimated quantities of resources required for the execution of each response strategy in the basic response strategy list. The terminal iterates through each strategy in the basic response strategy list, analyzes the execution process of each strategy, quantifies all the resources required, and systematically records the resource consumption of each strategy, ultimately forming the resource requirement list. This provides a concrete and quantifiable basis for subsequent feasibility analysis.

[0067] Step 203: Based on the resource requirement list, conduct a feasibility analysis for each disposal strategy to obtain a feasibility assessment report.

[0068] Feasibility analysis is an assessment process designed to determine whether a response strategy can be successfully implemented under current objective conditions. It primarily focuses on core issues such as the availability of necessary resources and whether the task can be completed within the required timeframe. The feasibility assessment report is a conclusive document that assesses the feasibility of each strategy in the basic response strategy list, indicating which strategies are feasible and which are not, along with brief rationale. The terminal uses a resource requirement list as input and verifies each resource requirement. The core of this verification is comparing the requirements with existing available resources, querying the company's real-time resource database, and checking whether each required resource can be met in terms of quantity and time. Based on the combined verification results of all resource items, an overall feasibility judgment is made for each response strategy, and a feasibility assessment report is generated.

[0069] Step 204: Based on the historical response case library and feasibility report, optimize the key parameters of the response strategy to obtain a draft response.

[0070] The historical response case library is a data warehouse storing past risk events, the response strategies adopted, and their actual implementation effects; it serves as an experience base. Key parameters refer to the core variables that determine the strength and effectiveness of response strategies. The response draft is a more refined and practical action plan after parameter optimization. Compared to the original response strategy, the response draft includes specific implementation parameters optimized based on historical experience, making it more operable. Based on the feasibility assessment report, the terminal selects all deemed feasible response strategies. For each feasible strategy, it searches the historical response case library to find cases where the strategy was implemented in similar risk scenarios. It analyzes how the key parameters of the strategy were set in those cases and what the final results were. Based on historical experience, the key parameters of the current strategy are fine-tuned and optimized. After optimization, the response strategy is transformed into a specific, data-supported response draft.

[0071] Step 205: Iterate through the resource consumption plans in the response drafts, mark the response drafts that include long-term strategic resources, and obtain the response plan.

[0072] Specifically, long-term strategic resources refer to limited resources crucial to a company's long-term development and strategic goals. These resources are planned for important future projects, such as R&D funds reserved for new products, dedicated production capacity to ensure supply to core customers, and in-depth cooperation quotas with strategic partners. Using these resources to solve immediate problems may impact the company's long-term interests. Tagging is a process of identification and labeling, marking drafts that consume long-term strategic resources with a special identifier. The response plan is a collection of response drafts, clearly indicating which drafts will utilize long-term strategic resources. The terminal checks the resource requirement list of each response draft one by one, comparing the resource items in the list with a pre-set long-term strategic resource list. If a draft is found to require resources from the list, it is marked. All response drafts that have undergone feasibility analysis, parameter optimization, and long-term resource marking constitute the final output response plan.

[0073] This embodiment optimizes strategies using historical data, improving the success rate and efficiency of risk mitigation decisions. It transforms general strategy templates into practical and personalized solution drafts, thereby enhancing the relevance of risk mitigation decisions.

[0074] In one embodiment, based on the resource requirements list, a feasibility analysis is performed on each disposal strategy to obtain a feasibility assessment report, including:

[0075] Step 301: Using each resource consumed in the resource requirement list as an index, traverse the real-time resource database to obtain the resource availability result; the resource availability result includes at least one of fully satisfied, partially satisfied, and unsatisfied.

[0076] The resource requirement list details all resource types and quantities needed to execute a specific disposal strategy. Consumed resources refer to each specific resource requirement listed in the list. The real-time resource database is a dynamically updated database reflecting the current actual available resource status of the enterprise, such as real-time inventory quantities, current and future equipment occupancy status, and available cash balance. The resource availability result is a judgment of the degree of satisfaction obtained by querying the real-time resource database for each consumed resource in the resource requirement list. The results are generally divided into three categories: fully satisfied (both the required resource quantity and time can be met); partially satisfied (the resource quantity or available time can only partially meet the requirement); and unsatisfied (the resource is currently unavailable or the quantity is severely insufficient). The terminal uses each consumed resource in the resource requirement list of the disposal strategy as a query condition to traverse the real-time resource database. For example, for the requirement of 100 units of a certain part, if the current available inventory of that part is 120 units, the result is fully satisfied; if the available inventory is 60 units, the result is partially satisfied; if the available inventory is 0 units, the result is unsatisfied. After querying all resource items, the overall resource availability result of the strategy is obtained. Optionally, the resource availability calculation model can be used to perform three types of checks on each resource, including checking whether the current inventory of the resource meets the demand; checking whether the resources expected to arrive within the demand period are sufficient to fill the gap; and checking whether the distribution of resources in different locations matches the demand locations.

[0077] Step 302: Using the following formula, assess the time feasibility of the handling strategies corresponding to the partial satisfaction and non-satisfaction of the resource availability results to obtain the time feasibility results:

[0078]

[0079] in, For time feasibility results, , , Here, n represents the weighting coefficient, and n represents the total resources required for the treatment strategy. Let i be the time matching degree of the i-th resource. The satisfaction level is denoted by m, where m is the total number of time-related risk factors. The contribution of the j-th time risk factor.

[0080] Specifically, time feasibility assessment is an in-depth analysis of resource availability over time. It evaluates whether, in the event of resource gaps or time conflicts, adjustments or coordination can meet the conditions for strategy execution within the time window required by the risk event. The time feasibility result is a quantifiable score measuring the temporal feasibility of the response strategy; a higher score indicates greater time feasibility. Resource time matching degree refers to the degree of match between the available time of the i-th resource and the time required by the strategy. A high matching degree indicates immediate availability, while a low matching degree indicates a long waiting period. Time window satisfaction degree is the degree of match between the expected execution time of the strategy and the maximum allowable response time for the risk event. A high satisfaction degree indicates a significantly shorter expected execution time. The contribution of time risk factors is the likelihood or magnitude of the impact of time risk factors on strategy delays. The terminal only processes handling strategies that are partially or not met. Strategies that are fully met are either skipped or assigned a high score. The core is the calculation of a given formula, which consists of three weighted parts: a resource-time matching part, which calculates the average time matching degree of all resource items, reflecting the overall timeliness of resource acquisition; a time window part, which assesses whether the strategy execution cycle meets the response time limit requirements; and a risk buffer part, which assesses the impact of external time risks, representing the degree of risk controllability or safety margin. The weighted sum of these three parts is multiplied by 100 to obtain a standardized time feasibility result. Optionally, a time constraint analysis model is used to calculate three types of time feasibility: the total time from initiation of replenishment to resource availability; comparison of the total time with the remaining length of the strategy execution time window; assessment of time urgency; and marking resources with higher time risks.

[0081] Step 303: Based on the time feasibility results, conduct a cost assessment of the consumed resources to obtain cost feasibility results.

[0082] Specifically, cost assessment is used to analyze the total cost required to implement the response strategy, especially the additional costs that may arise after time adjustments. The cost feasibility result is a quantitative score, an assessment of the affordability of the strategy's costs. The terminal calculates costs based on the information in the time feasibility result, comprehensively considering the direct costs of resources, additional costs incurred due to accelerated execution, and opportunity costs, comparing the total cost with a preset budget or cost threshold to arrive at a cost feasibility result. Optionally, a cost constraint check model is used to perform cost analysis, calculating the total cost of acquiring various resources, including procurement costs, transportation costs, and coordination costs; summarizing the total execution cost of each strategy; comparing the total cost with the contingency budget ceiling to assess cost feasibility; and identifying the main cost drivers for over-budget options.

[0083] Step 304: Based on the resource availability results, time feasibility results, and cost feasibility results, perform a weighted summation to obtain a feasibility score.

[0084] The feasibility score is a comprehensive quantitative indicator that integrates feasibility assessment results from three dimensions: resources, time, and cost. It represents the overall feasibility of the proposed solution. The terminal takes resource availability, time feasibility, and cost feasibility results as input. Based on predefined weights, the three scores are weighted and summed. The weighting reflects the company's preference for these three factors. After weighted calculation, a final, comprehensive feasibility score is obtained. Optionally, weights are assigned to each assessment result: resource availability 40%, time compliance 35%, and cost control 25%. Each assessment result is quantitatively scored, and a weighted average score is calculated. A feasibility threshold is set, such as 60 points. Strategies that pass the feasibility threshold are selected and ranked from highest to lowest score.

[0085] Step 305: Based on the feasibility score and the preset feasibility threshold, select the handling strategies with feasibility scores greater than the feasibility threshold to obtain a feasibility assessment report.

[0086] The feasibility threshold is a pre-defined score threshold used to distinguish whether a strategy is feasible. The feasibility assessment report is a document that lists all evaluated disposal strategies and their feasibility scores, clearly indicating which strategies score above the threshold and are considered feasible, and which score below the threshold and are deemed infeasible. The terminal compares the feasibility score of each disposal strategy with the feasibility threshold, filters out all strategies with scores above the threshold, marks them as feasible, generates a feasibility assessment report, and summarizes the evaluation results of all strategies, providing input for the next step of strategy parameter optimization.

[0087] This embodiment uses a comprehensive score to screen strategies, ensuring that only those strategies that are relatively optimal or acceptable in terms of resources, time, and cost can enter the subsequent process, thereby improving the efficiency and reliability of the entire resilience enhancement optimization process.

[0088] In one embodiment, based on the conflict assessment report, the resources consumed by the corresponding response plans are supplemented to obtain a comprehensive optimal solution, including:

[0089] Step 401: Extract the core assessment dimensions from the conflict assessment report, and perform a weighted summation of the core assessment dimensions according to the weight allocation in the enterprise decision preference parameter table to obtain the comprehensive value assessment result; the core assessment dimensions include: total cost-effectiveness, recovery timeliness, long-term impact degree and execution risk level.

[0090] The core evaluation dimensions are several key perspectives used to comprehensively measure the value of a response plan, including: Total Cost-Effectiveness (TCE), which measures the input and output of the plan, i.e., the relationship between the total cost of implementing the plan and the losses or benefits it can recover; Recovery Timeliness, which measures the speed at which the plan solves the problem, i.e., the estimated time required for the supply chain to return to normal after implementation; Long-Term Impact, which measures the negative impact of the plan on the future, i.e., the extent of damage to the company's long-term strategic planning caused by the consumption of long-term strategic resources; and Implementation Risk Level, which measures the likelihood of the plan failing, i.e., the probability that the plan will not achieve the expected results due to internal or external uncertainties. The Corporate Decision Preference Parameter Table is a pre-defined configuration file that clarifies the degree of importance that corporate management attaches to each of the above core dimensions when making decisions, usually expressed in the form of weighted coefficients. The comprehensive value assessment result is a quantified score, which, through weighted calculation, comprehensively reflects the overall value of a particular response plan under the specific company's own preferences. The terminal reads the conflict assessment report, extracts quantitative data on the degree of long-term impact, obtains borrowing cost data needed to calculate the total cost, and the resource conflict portion of the execution risk assessment. It obtains recovery timeliness data and short-term execution costs from the original data of the response plan, benefits data from risk event reports or business rules, and weights for each dimension from the enterprise decision preference parameter table. It calculates specific quantitative data for each response plan in the above four core dimensions. Since the data and units of measurement are different in different dimensions, these original data are standardized. For indicators such as cost, long-term impact, and risk, which are better the smaller the value, they are reversed to make them conform to the principle that the higher the score, the better. The weight coefficients corresponding to each dimension are obtained from the enterprise decision preference parameter table, and a comprehensive value score is calculated for each plan. After calculation, a comprehensive value assessment result is obtained for each plan.

[0091] Step 402: Based on the comprehensive value assessment results, examine the long-term resource consumption of the response plan to obtain the compensation determination result.

[0092] Specifically, long-term resource consumption refers to the specific amount of long-term strategic resources consumed by the response plan. The plan compensation determination result is a judgment conclusion indicating whether a particular response plan requires, and if so, what type of compensation to mitigate its long-term negative impact. The terminal combines the comprehensive value assessment result of the plan with its specific long-term resource consumption to make a comprehensive judgment based on preset business rules. For example, if Plan A has a high score but its long-term resource consumption is huge, exceeding a certain threshold, it is determined that compensation is required; if Plan B has a low score and high resource consumption, it is determined that it is not recommended; if Plan C has a high score and low resource consumption, it is determined that no compensation is required and it is directly considered a candidate. A clear plan compensation determination result is generated for each plan, indicating whether financial compensation or time delay compensation is required.

[0093] Step 403: Based on the compensation determination result, match compensation measures from the compensation measure library to obtain a solution combination package.

[0094] Specifically, the compensation measures library is a pre-built solution repository containing various alternative measures to compensate for or offset long-term resource consumption. A solution package is a new, more complete solution formed by bundling the original response plan with one or more selected compensation measures. Based on the compensation determination results, the terminal identifies all compensation-required plans and analyzes their specific compensation needs. Using compensation needs as keywords, it searches the compensation measures library for matching compensation measures, integrating each original plan with one or more matching compensation measures to form a solution package. An original plan can be combined with different compensation measures to form multiple alternative packages.

[0095] Step 404: Conduct a comprehensive value assessment of the solution combination package to obtain a comprehensive value score, and determine the solution combination package with the highest comprehensive value score as the comprehensive optimal solution.

[0096] The overall value score refers to the comprehensive value assessment result obtained after recalculating the solution combination package. The overall optimal solution is the one with the highest overall value score among all solution combination packages after evaluation. The terminal re-executes the evaluation process for all solution combination packages, including the original solutions that do not require compensation and are considered as empty compensation packages. Due to the addition of compensation measures, the scores of the original solutions in dimensions such as long-term impact and execution risk may be improved. Based on the updated data, a new overall value score is calculated for each solution combination package. The scores of all solution combination packages are compared and ranked, and the solution combination package with the highest score is selected as the overall optimal solution.

[0097] This embodiment introduces additional compensatory actions to offset the negative effects of the original solution, thereby fundamentally improving the sustainability and overall value of the solution. It ensures that the selected solution is not only an effective solution to deal with current risks, but also the globally optimal solution that is most beneficial to long-term development and has the highest overall value after optimization and compensation, providing decision-makers with the most scientific and reliable basis for action.

[0098] In one embodiment, based on the scheme compensation determination result, compensation measures are matched from the compensation measure library to obtain a scheme combination package, including:

[0099] Step 501: Based on the compensation determination results, perform a compensation demand analysis for each compensation-required response plan to obtain a compensation demand report.

[0100] The compensation needs analysis is a thorough diagnostic process designed to precisely identify the specific deficiencies or gaps in the response plans requiring compensation, as well as the nature and severity of these gaps. The compensation needs report is a detailed diagnostic document that clearly lists the types of resources requiring compensation, the compensation objectives, and the urgency of compensation for each response plan. For each plan marked as requiring compensation, the terminal analyzes its conflict assessment report and comprehensive value assessment results to pinpoint its core weaknesses. The analysis results are quantified into specific, actionable compensation needs, and all analysis results are summarized to generate a compensation needs report. Optionally, the compensation needs analysis model calculates the size of the long-term resource gap caused by each plan, including quantitative and temporal gaps. It also analyzes the specific aspects of long-term planning affected, identifies which long-term goals will be delayed due to resource borrowing, and the severity of these delays. This quantifies the intensity of the compensation needs for each plan, providing a basis for matching subsequent compensation measures.

[0101] Step 502: Based on the compensation demand report and the preset compensation rules, select compensation measures from the compensation measure library to obtain an applicable compensation list.

[0102] Specifically, preset compensation rules are strategies and constraints pre-defined by the enterprise to determine whether a compensation measure is permitted. These rules typically involve cost limits, decision-making authority, time windows, and compliance requirements. The compensation measure library is a pre-set collection of various alternative solutions that could potentially fill resource gaps. The applicable compensation list is a preliminary selection of all compensation measures from the compensation measure library that meet the preset compensation rules for each requirement in the compensation requirement report. The terminal extracts each specific compensation requirement from the compensation requirement report and uses these requirements as search criteria to match them against the compensation measure library, identifying all potential compensation measures that functionally meet the requirement. For the initially matched compensation measures, the preset compensation rules are applied one by one for compliance and feasibility verification. Only compensation measures that fully comply with all relevant rules are retained. The verified compensation measures are compiled into the applicable compensation list; one compensation requirement may correspond to multiple applicable compensation measures. Optionally, a rule-based screening method can be adopted, which can be used to screen according to the type of compensation requirement, including quantity compensation, time compensation, and quality compensation, as well as by resource type. Finally, a secondary screening can be performed according to execution time and cost constraints. For each compensation plan, 2-3 of the most matching compensation measures are retained.

[0103] Step 503: Based on the applicable compensation list, assess the coordination of each compensation measure and its corresponding response plan to obtain the coordination assessment results.

[0104] Specifically, coordination refers to the smooth integration of compensatory measures and original response plans in terms of time planning, resource allocation, execution logic, and objectives, avoiding new internal conflicts or negating the original advantages of the plan. The coordination assessment result is a compatibility evaluation of each combination of compensatory measures and response plans, including the coordination level and the determination of whether there are key conflict points. The terminal conducts collaborative work simulation analysis for each compensatory measure and its corresponding response plan in the applicable compensation list. The evaluation mainly revolves around several core dimensions: in the time dimension, whether the effective time of the compensatory measures matches the demand nodes of the original plan; in the resource dimension, whether the compensatory measures themselves will consume new scarce resources and cause secondary conflicts; and in the logical dimension, whether the execution of the compensatory measures is consistent with the core objectives of the original plan. Based on the simulation analysis, a comprehensive evaluation of the collaborative work effect of each combination is made, forming the coordination assessment result. Optionally, a multi-dimensional coordination assessment model can be used to score from five dimensions: time coordination, which refers to the time coordination between the execution time of the compensation measures and the basic plan; resource coordination, which refers to the resource synergy between the compensation measures and the basic plan; process coordination, which refers to the smoothness of the execution process; cost coordination, which is used for total cost control; and risk coordination, which refers to the cumulative effect of risks. A comprehensive coordination score is calculated for each compensation measure and the measures are ranked from high to low.

[0105] Step 504: Based on the coordination assessment results, select compensation measures to obtain coordinated compensation measures, and integrate the coordinated compensation measures and response plans to obtain a solution package.

[0106] Among them, coordinated compensation measures refer to compensation measures rated as highly coordinated in the coordination assessment results. A solution package is a complete and internally unified response plan formed by organically combining the original response plan with one or more selected coordinated compensation measures. Based on the coordination assessment results, the terminal selects one or more of the most coordinated compensation measures for each response plan requiring compensation, and performs integration operations. The specific steps, resource allocation plans, and timelines of the selected coordinated compensation measures are deeply coupled and optimized with the execution plan of the original response plan to form a seamless and unified new action plan. This integrated and enhanced new plan is the solution package. Optionally, through a solution integration optimization model, the steps of the compensation measures are embedded into the basic plan execution process to ensure smooth time coordination, reasonable resource allocation, and clear division of responsibilities. During the integration process, potential time conflicts, resource conflicts, and process conflicts are optimized and adjusted to form a coordinated and consistent combined plan.

[0107] This embodiment, through the process of diagnosis and solution generation, produces a solution package that is an enhanced solution that has been optimized for coordination and is highly consistent internally. This provides high-quality, directly comparable candidates for subsequent overall value assessment and selection of the optimal solution.

[0108] In one embodiment, based on intertemporal conflict assessment, the long-term strategic resources used by each response option are identified, resulting in a conflict assessment report, including:

[0109] Step 601: Iterate through the response plans, calculate the long-term strategic resources consumed by each response plan, and obtain a long-term resource usage report.

[0110] Long-term strategic resources refer to critical, limited resources pre-planned to support the company's long-term development strategy and goals. These resources are not rapidly regenerable, and their use directly impacts the progress of future strategic projects. The long-term resource usage report is a detailed list quantifying the specific types, quantities, and planned durations of various long-term strategic resources required for the execution of each response plan. The terminal processes each input response plan individually, analyzing its execution process in detail for each plan, identifying and calculating all the long-term strategic resources required, including calculating the required man-hours for specific strategic equipment, the amount of special budget funds allocated, and the amount of reserved strategic inventory materials used. It records the index, quantity, and planned duration of various long-term strategic resources consumed by each plan, summarizes the data from all plans, and generates a long-term resource usage report. Optionally, the resources used in the scheme can be divided into short-term quick-replenishment resources, medium-term adjustment resources, and long-term strategic reserve resources through a resource classification and matching algorithm. For the identified long-term strategic resources, their specific usage details are recorded, including resource name, planned usage quantity, usage start time, expected usage duration, and original purpose in the long-term plan. At the same time, the proportion of each type of resource in each scheme is calculated to assess the degree of dependence of the scheme on long-term resources.

[0111] Step 602: Based on the long-term resource usage report, calculate the borrowing cost of the resources using the following formula to obtain a cost breakdown table;

[0112]

[0113] in, Let be the borrowing cost of the i-th long-term strategic resource, and let i be the index of the long-term strategic resource. Let be the unit time delay cost coefficient for the i-th resource. Let i be the planned duration of the i-th resource. Let i be the importance weight of the i-th resource. The cost of acquiring the i-th resource for emergency use by a single unit. Let be the original planned unit acquisition cost of the i-th resource. Let i be the quantity of the i-th type of resource used. Let be the expected unit-time return of the i-th resource in long-term planning. Let be the opportunity cost coefficient of the i-th resource.

[0114] Specifically, borrowing cost refers to all additional costs or losses incurred due to the occupation of strategic resources originally planned for long-term development for current emergency needs; it is a comprehensive economic indicator. The cost breakdown details the borrowing costs incurred by each response plan for occupying each type of long-term strategic resource, serving as core data for quantifying intertemporal conflicts. The terminal reads the long-term resource usage report, obtains usage data for each resource for each plan, retrieves the coefficient values ​​required for the formula from the enterprise parameter library, and calculates the costs for each resource consumption record in the report using the provided formula. The formula calculates three parts of the cost: direct delay cost reflects the direct impact of the original planned project being postponed due to resource occupation, amplified by importance weights; emergency acquisition premium reflects the additional unit cost incurred in urgently acquiring alternative resources to address the current crisis; and opportunity cost reflects the expected benefits lost because resources are used for firefighting and cannot be used for the original strategic project, adjusted by an opportunity cost coefficient. All calculation results are summarized to generate a cost breakdown, clearly showing the long-term costs of each plan. Optionally, for each long-term strategic resource used in each option, three borrowing costs are calculated: delay costs are calculated by assessing the planning delay caused by occupying the resource based on the resource's usage schedule in the original long-term plan and multiplying it by a unit-time delay cost coefficient; premium costs are calculated by comparing the acquisition cost for emergency use with the acquisition cost in the original plan; opportunity costs are calculated by assessing the expected benefits of the resource in the long-term plan and calculating the opportunity value lost due to emergency use; and the three costs for each long-term resource are summarized to obtain the total resource borrowing cost for each option, taking into account the weighting adjustment of resource importance levels during the calculation process.

[0115] Step 603: Based on the cost breakdown, assess the time delay caused by each response to the long-term strategic plan, and obtain a long-term planning delay impact report.

[0116] Specifically, time delays in long-term strategic planning refer to the time when the original long-term strategic projects served by the response plans are forced to postpone due to the occupation of critical resources. The Long-Term Planning Delay Impact Report analyzes the specific impact of each response plan on the long-term strategic plan from the perspectives of time and project schedule. The terminal, combining resource occupation duration from the cost breakdown and long-term resource usage reports, analyzes the impact of resource occupation on the critical paths of related long-term strategic projects, assesses the cascading effects of delays, structures the analysis results, describes the scope and severity of the delay impact, and identifies potential secondary risks, thus forming the Long-Term Planning Delay Impact Report. Optionally, it analyzes which long-term planning tasks are directly affected by each occupied long-term resource, calculates the shortest and longest delay times for these tasks, identifies potential cascading effects of delays through planning dependency network analysis, assesses the scope and extent of the impact on subsequent dependent tasks, calculates the total delay days for each long-term plan for each option, calculates the weighted delay impact based on planning priority weights, and assesses the increased planning risk, including the risk of missing key milestones, the risk of broken dependencies, and the risk of missing strategic windows.

[0117] Step 604: Generate a conflict assessment report based on the long-term planning delay impact report and cost details table.

[0118] The conflict assessment report integrates financial quantitative analysis and time impact analysis, comprehensively revealing the potential negative impact of each response plan on the company's long-term strategy. The terminal integrates the cost details and the long-term planning delay impact report, generating a comprehensive assessment conclusion for each response plan. This conclusion clearly indicates the specific manifestations of the intertemporal conflict, including the total borrowing cost, which strategic projects were affected, and the severity of the time delay. A complete conflict assessment report is generated, providing authoritative evidence for subsequent plan optimization and final decision-making. Optionally, four assessment dimensions are integrated: direct emergency costs, resource borrowing costs, long-term planning delay impact, and expected plan effects. A multi-attribute decision analysis method is used to assign weights to each dimension, calculating a comprehensive conflict assessment score for each plan. In the score calculation, plans with high conflict levels are appropriately penalized, while plans that effectively balance short-term and long-term goals are awarded bonuses. All plans are ranked from highest to lowest comprehensive score, generating a complete conflict assessment report containing detailed assessment data, comprehensive scores, ranking results, and performance analysis of each plan in balancing short-term emergency response and long-term planning.

[0119] This embodiment ensures that the selection of short-term response solutions does not come at the expense of the company's long-term development by generating a conflict assessment report, thus achieving a balance between short-term benefits and long-term strategy.

[0120] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0121] Based on the same inventive concept, this application also provides a multi-objective optimization-based supply chain resilience enhancement system for implementing the aforementioned multi-objective optimization-based supply chain resilience enhancement method. The solution provided by this system is similar to the implementation scheme described in the above method. Therefore, the specific limitations of one or more embodiments of the multi-objective optimization-based supply chain resilience enhancement system provided below can be found in the limitations of the multi-objective optimization-based supply chain resilience enhancement method described above, and will not be repeated here.

[0122] In one exemplary embodiment, such as Figure 2 As shown, a supply chain resilience enhancement system 700 based on multi-objective optimization is provided, comprising:

[0123] The matching module 701 is used to acquire real-time data streams, perform pattern matching analysis on the real-time data streams, identify risk events, and obtain risk event reports; the real-time data streams include real-time operational data, external environment data, historical interruption patterns, and supply chain configuration;

[0124] The strategy module 702 is used to select the corresponding handling strategy from the preset response strategy library based on the risk event report to obtain the response plan;

[0125] Conflict module 703 is used to identify the long-term strategic resources used by each response option based on intertemporal conflict assessment, and to obtain a conflict assessment report.

[0126] Supplementary module 704 is used to supplement the resources consumed by the corresponding response plan based on the conflict assessment report to obtain the comprehensive optimal solution; the comprehensive optimal solution is used to assist in the supply chain.

[0127] Furthermore, strategy module 702 is also used for:

[0128] Match the risk level and risk type in the risk event report with the corresponding handling strategies in the response strategy library to obtain a basic response strategy list;

[0129] Based on the list of basic response strategies, the resources consumed by each strategy are calculated to obtain a list of resource requirements.

[0130] Based on the resource demand list, a feasibility analysis is conducted for each disposal strategy to obtain a feasibility assessment report;

[0131] Based on a database of historical response cases and feasibility reports, the key parameters of the response strategy were optimized to obtain a draft response plan.

[0132] Iterate through the resource consumption plans in the draft response, mark the draft response plans that include long-term strategic resources, and obtain the response solutions.

[0133] Furthermore, strategy module 702 is also used for:

[0134] Using each resource consumption item in the resource requirement list as an index, the real-time resource database is traversed to obtain the resource availability result; the resource availability result includes at least one of fully satisfied, partially satisfied, and unsatisfied.

[0135] The following formula is used to assess the time feasibility of the corresponding handling strategies for partially satisfied and unsatisfied resource availability results, thus obtaining the time feasibility results:

[0136]

[0137] in, For time feasibility results, , , Here, n represents the weighting coefficient, and n represents the total resources required for the treatment strategy. Let i be the time matching degree of the i-th resource. The satisfaction level is denoted by m, where m is the total number of time-related risk factors. The contribution of the j-th time risk factor;

[0138] Based on the time feasibility results, a cost assessment is conducted on the consumed resources to obtain cost feasibility results;

[0139] Based on the resource availability results, time feasibility results, and cost feasibility results, a weighted sum is taken to obtain the feasibility score;

[0140] Based on the feasibility score and the preset feasibility threshold, the disposal strategies with feasibility scores greater than the feasibility threshold are selected, and a feasibility assessment report is obtained.

[0141] Furthermore, supplementary module 704 is also used for:

[0142] The core assessment dimensions are extracted from the conflict assessment report and weighted and summed according to the weight allocation in the enterprise decision preference parameter table to obtain the comprehensive value assessment result. The core assessment dimensions include: total cost-effectiveness, recovery timeliness, long-term impact and execution risk level.

[0143] Based on the comprehensive value assessment results, the long-term resource consumption of the response plan is examined to obtain the compensation determination result of the plan;

[0144] Based on the compensation determination results, compensation measures are matched from the compensation measure library to obtain a combination package of solutions;

[0145] A comprehensive value assessment is conducted on the solution combination package to obtain a comprehensive value score, and the solution combination package with the highest comprehensive value score is determined as the comprehensive optimal solution.

[0146] Furthermore, supplementary module 704 is also used for:

[0147] Based on the compensation determination results, a compensation demand analysis is conducted for each compensation-required response plan, and a compensation demand report is obtained.

[0148] Based on the compensation demand report and the preset compensation rules, compensation measures are selected from the compensation measure library to obtain an applicable compensation list;

[0149] Based on the applicable compensation list, the coordination of each compensation measure and its corresponding response plan is assessed to obtain the coordination assessment results;

[0150] Based on the coordination assessment results, compensation measures are selected to obtain coordinated compensation measures. These coordinated compensation measures and response plans are then integrated to obtain a solution package.

[0151] Furthermore, the conflict module 703 is also used for:

[0152] Iterate through the response plans, calculate the long-term strategic resources consumed by each response plan, and obtain a long-term resource usage report;

[0153] Based on the long-term resource usage report, the borrowing cost of the resources is calculated using the following formula to obtain a detailed cost statement;

[0154]

[0155] in, Let be the borrowing cost of the i-th long-term strategic resource, and let i be the index of the long-term strategic resource. Let be the unit time delay cost coefficient for the i-th resource. Let i be the planned duration of the i-th resource. Let i be the importance weight of the i-th resource. The cost of acquiring the i-th resource for emergency use by a single unit. Let be the original planned unit acquisition cost of the i-th resource. Let i be the quantity of the i-th type of resource used. Let be the expected unit-time return of the i-th resource in long-term planning. Let be the opportunity cost coefficient of the i-th resource;

[0156] Based on the cost breakdown, assess the time delay caused by each response plan to the long-term strategic plan, and obtain a report on the impact of the long-term planning delay.

[0157] A conflict assessment report is generated based on the long-term planning delay impact report and cost details.

[0158] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of a supply chain resilience enhancement method based on multi-objective optimization as described above.

[0159] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0160] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0161] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.

Claims

1. A method for improving supply chain resilience based on multi-objective optimization, characterized in that, The method comprises: Obtaining a real-time data stream, and performing pattern matching analysis on the real-time data stream to identify a risk event and obtain a risk event report; the real-time data stream comprises real-time operation data, external environment data, historical interruption patterns and supply chain configurations; Based on the risk event report, a corresponding treatment strategy is selected from a preset response strategy library to obtain a response scheme; Based on cross-period conflict evaluation, long-term strategic resources used by each of the response schemes are identified to obtain a conflict evaluation report; Based on the conflict evaluation report, consumed resources corresponding to the response schemes are supplemented to obtain a comprehensive optimal scheme; the comprehensive optimal scheme is used to assist in supply chain management.

2. The method of claim 1, wherein, The method comprises: Matching risk levels and risk types in the risk event report with corresponding treatment strategies in the response strategy library to obtain a basic response strategy list; Based on the basic response strategy list, consumed resources of each of the treatment strategies are calculated to obtain a resource demand list; Based on the resource demand list, a feasibility analysis is performed on each of the treatment strategies to obtain a feasibility evaluation report; Based on a historical response case library and the feasibility report, key parameters of the treatment strategies are optimized to obtain a response draft; The consumed resources planned in the response draft are traversed, and the response draft in which the consumed resources contain the long-term strategic resources is marked to obtain the response scheme.

3. The method of claim 2, wherein, The method comprises: Taking each of the consumed resources in the resource demand list as an index, a real-time resource database is traversed to obtain a resource availability result; the resource availability result comprises at least one of complete satisfaction, partial satisfaction and non-satisfaction; The treatment strategies corresponding to partial satisfaction and non-satisfaction in the resource availability result are evaluated for time feasibility by the following formula to obtain a time feasibility result: wherein, is the time feasibility result, , , is the weight coefficient, n is the total number of consumed resources required for the treatment strategy, is the time matching degree of the ith resource, is the time window satisfaction degree, m is the total number of time risk factors, is the contribution degree of the jth time risk factor; Based on the time feasibility result, a cost feasibility result is obtained by evaluating the consumed resources; Based on the resource availability result, the time feasibility result and the cost feasibility result, a weighted sum is performed to obtain a feasibility score; Based on the feasibility score and a preset feasibility threshold, the treatment strategies with a feasibility score greater than the feasibility threshold are screened to obtain the feasibility evaluation report.

4. The method of claim 1, wherein, The method comprises: Core evaluation dimensions are extracted from the conflict evaluation report, and a weighted sum is performed on the core evaluation dimensions according to weight distribution in an enterprise decision preference parameter table to obtain a comprehensive value evaluation result; the core evaluation dimensions comprise total cost benefit, recovery timeliness, long-term impact degree and execution risk level; Based on the comprehensive value evaluation result, a long-term resource consumption amount of the response scheme is checked to obtain a scheme compensation determination result; Compensation measures are matched from a compensation measure library based on the scheme compensation determination result, and a scheme combination package is obtained; Comprehensive value evaluation is performed on the scheme combination package, a comprehensive value score is obtained, and the scheme combination package with the highest comprehensive value score is determined as the comprehensive optimal scheme.

5. The method of claim 4, wherein, The scheme combination package is obtained by matching compensation measures from a compensation measure library based on the scheme compensation determination result, and includes: Based on each of the coping schemes that need to be compensated in the scheme compensation determination result, a compensation demand analysis is performed to obtain a compensation demand report; Based on the compensation demand report and a preset compensation rule, the compensation measures are screened from the compensation measure library to obtain an applicable compensation list; Based on the applicable compensation list, the coordination of each of the compensation measures and the corresponding coping schemes is evaluated to obtain a coordination evaluation result; Based on the coordination evaluation result, the compensation measures are selected to obtain coordinated compensation measures, and the coordinated compensation measures and the coping schemes are integrated to obtain the scheme combination package.

6. The method of claim 1, wherein, The conflict evaluation report is obtained by identifying the long-term strategic resources used by each of the coping schemes based on the cross-period conflict evaluation, and includes: The long-term strategic resources consumed by the coping schemes are calculated by traversing the coping schemes to obtain a long-term resource usage report; Based on the long-term resource usage report, the borrowing cost of resources is calculated by the following formula to obtain a cost breakdown table; wherein, is the borrowing cost of the ith long-term strategic resource, i is the long-term strategic resource index, is the unit time delay cost coefficient of the ith resource, is the planned occupation time length of the ith resource, is the importance weight of the ith resource, is the emergency use unit acquisition cost of the ith resource, is the original planning unit acquisition cost of the ith resource, is the use quantity of the ith resource, is the expected unit time income of the ith resource in the long-term planning, is the opportunity cost coefficient of the ith resource; Based on the cost breakdown table, the time delay of long-term strategic planning caused by each of the coping schemes is evaluated to obtain a long-term planning delay impact report; Based on the long-term planning delay impact report and the cost breakdown table, the conflict evaluation report is generated.

7. A supply chain resilience enhancement system based on multi-objective optimization, characterized by, The system includes: The matching module is configured to obtain real-time data streams and perform pattern matching analysis on the real-time data streams to identify risk events and obtain a risk event report; the real-time data streams include real-time operation data, external environment data, historical interruption patterns, and supply chain configurations; The strategy module is configured to select corresponding disposal strategies from a preset coping strategy library based on the risk event report to obtain coping schemes; The conflict module is configured to identify long-term strategic resources used by each of the coping schemes based on cross-period conflict evaluation to obtain a conflict evaluation report; The supplement module is configured to supplement consumed resources corresponding to the coping schemes based on the conflict evaluation report to obtain a comprehensive optimal scheme; the comprehensive optimal scheme is used to assist in supply chain management.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to implement the steps of the method of any one of claims 1 to 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

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