An intelligent construction supply chain management system

Abstract

The present invention belongs to the field of supply chain technology, and specifically is an intelligent construction supply chain management system, including a project information configuration module, a supplier information configuration module and a procurement platform; the project information configuration module is used to create a tender notice; the supplier information configuration module is used to enter and upload electronic bid documents; the tender notice is viewed through the procurement platform, and the tender notice consistent with the product operated by the supplier is selected to prepare the electronic bid document, and the electronic bid document is delivered to the procurement platform. Based on the data processing module set in the procurement platform, multiple bidding suppliers can be evaluated based on the basic information of the electronic bid document and the supplier, and then a first decision suggestion can be output based on the evaluation. The first decision suggestion can help the project party decide on the best supplier, thereby reducing the risk between the project party and the supplier, while optimizing supply chain management and making transactions more convenient.

Description

Technical Field

[0001] The present invention belongs to the technical field of supply chain, and in particular to an intelligent construction supply chain management system. Background Art

[0002] In the field of civil engineering, project parties need to purchase materials or products in the market based on project progress and inventory quantities. In order to maximize profits, they usually purchase through bidding or reach cooperation with suppliers to form a stable supply chain in a civil engineering project to ensure the stable progress of the civil engineering project.

[0003] In the supply chain, supplier selection and supply chain optimization are fundamental to risk avoidance and project progress optimization. In the existing construction engineering field, when a project owner proposes a demand, a tender notice needs to be created based on the demand and published on the website. Suppliers can submit bids based on the displayed tender notice. After analysis, the project owner selects the best supplier for cooperation and signs a contract to protect the interests of both parties.

[0004] However, an excellent supply chain requires careful screening of suppliers. In existing technologies, supplier analysis mainly relies on the prices recorded in the bid documents, and lacks analysis of various evaluation indicators of suppliers. As a result, during the cooperation process, after the contract is signed, the supplier may no longer be able to specify a delivery date or the delivery quality may be defective, affecting the project party's use.

[0005] To this end, the present invention provides an intelligent construction supply chain management system. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an intelligent construction supply chain management system described in the present invention includes:

[0008] Project information configuration module, used to create tender notices;

[0009] Supplier information configuration module, used to enter and upload electronic bid documents;

[0010] Procurement platform, used to display tender notices and receive electronic bids, and output first-line decision recommendations;

[0011] The procurement platform includes a display module and a data analysis module, wherein the display module is used to display the tender notice;

[0012] The data analysis module includes an electronic tender receiving unit and an evaluation unit;

[0013] The electronic tender document receiving unit is used to receive the electronic tender document uploaded by the supplier;

[0014] The evaluation unit is used to analyze the electronic bidding document and output a first decision suggestion; the first decision suggestion is used to match suppliers for the project party.

[0015] Preferably, the project information configuration module includes a demand entry and review unit, which is used for the project party to create and review the tender announcement; the project information configuration module also includes a first display unit, which is used to display the first decision recommendation output by the data analysis module.

[0016] Preferably, the procurement platform further comprises a data processing module, and the data processing module comprises a tender announcement publishing unit and a tender announcement management unit;

[0017] The tender notice publishing unit is used to upload the tender notice to the display module;

[0018] The tender announcement management unit is used to store and manage tender announcements;

[0019] The procurement platform also includes a supplier information storage module, which is used to enter and update basic information corresponding to the supplier; the basic information includes supplier qualifications, date of access to the procurement platform, historical transaction records and evaluations.

[0020] Preferably, the method for analyzing the electronic bid document and outputting the first decision suggestion is:

[0021] Obtain supplier electronic bidding documents and basic information of suppliers;

[0022] Establish evaluation indicators based on the supplier's basic information and electronic bid documents, including price, quality, technology, and service; formulate evaluation criteria and assign weights to each evaluation indicator; the evaluation criteria are used to calculate the scores of each supplier's evaluation indicators; the weights are based on establishing a hierarchical model, determining the relative importance of each evaluation indicator through pairwise comparison, and obtaining weights;

[0023] Preferably, the supplier's scores and weights for each evaluation indicator are combined based on the decision matrix to calculate a comprehensive score. ;

[0024] The comprehensive score As the evaluation result, the first decision suggestion is output based on the evaluation result; the first decision suggestion is the screening comprehensive score The supplier corresponding to the maximum value is the first supplier;

[0025] The method for calculating the comprehensive score by combining weights is:

[0026] Get the weight of each evaluation indicator;

[0027] Obtain quantified scores for each supplier's evaluation indicators ;

[0028] According to the formula, calculate the standardized scores of each evaluation indicator ;

[0029] in, For all suppliers The minimum score of the evaluation indicators, For all suppliers The maximum score of the evaluation indicators;

[0030] Calculate the standardized scores of all evaluation indicators in turn ;

[0031] Carry out carbon emission accounting and standardize the carbon emissions to obtain a standardized carbon emission score ;

[0032] in, is the carbon emissions of the supply chain, is the lower limit of carbon emissions, A cap on carbon emissions;

[0033] Calculate the supplier's comprehensive score according to the formula ;

[0034] in, is the weight of each evaluation indicator, is the number of evaluation indicators.

[0035] Preferably, the method of analyzing the electronic bid document and outputting the first decision suggestion further comprises:

[0036] Obtain the cumulative time each supplier has been connected to the procurement platform based on their basic information and cumulative sales ;

[0037] Obtain the time adjustment coefficient for each supplier according to the formula and sales volume adjustment factor ;

[0038] in, is the set time threshold;

[0039] in, is the maximum sales volume of similar products among all suppliers, The minimum sales volume of similar products among all suppliers;

[0040] Based on the calculated time adjustment factor and sales volume adjustment factor , the solution coefficient affects the comprehensive score ;

[0041] The calculated coefficient affects the overall score , as the updated evaluation result and output the updated first decision recommendation.

[0042] Preferably, the supplier information configuration module includes an electronic bid document entry and upload unit and a second display unit. The electronic bid document entry and upload unit is used to create and upload the electronic bid document; the second display unit is used to display the second decision recommendation.

[0043] Preferably, the supplier information configuration module further includes a demand analysis module;

[0044] The demand analysis module is used to analyze demand change trends based on the tender notice;

[0045] The method for analyzing demand changes based on the tender announcement is:

[0046] Regularly collect tender notices on the procurement platform;

[0047] Establishing a database to store tender notices and obtain historical data; the historical data is the collected tender notices arranged in chronological order;

[0048] Predict demand trends based on time series analysis models and historical data, and output forecast results;

[0049] Outputting a second decision recommendation based on the prediction results of the time series analysis model; the second decision recommendation is used to help suppliers adjust their inventory strategies, including clearing out slow-moving inventory and replenishing potentially hot-selling products;

[0050] The time series analysis model is any one of an ARIMA model, a SARIMA model and a Prophet model.

[0051] Preferably, the project information configuration module further includes a contract management unit, and the contract management unit is used to generate and manage supplier contracts;

[0052] When the first decision suggestion is adopted, the contract management unit generates a contract based on the electronic bidding document and saves it in the contract management unit after the supplier signs it.

[0053] Preferably, the evaluation unit is further used to perform risk warning; the method for the evaluation unit to perform risk warning is:

[0054] The coefficient of regularly storing similar products from suppliers affects the overall score ;

[0055] The coefficient affects the overall score Compare to risk threshold:

[0056] When the coefficient affects the comprehensive score If the risk is lower than the risk threshold, a warning prompt is sent to the cooperating project party; the warning prompt is displayed on the first display unit;

[0057] Otherwise, no warning will be sent.

[0058] The beneficial effects of the present invention are as follows:

[0059] The intelligent construction supply chain management system described in the present invention views the tender notice through the procurement platform, selects the tender notice consistent with the products operated by the supplier to prepare the electronic bid document, and delivers the electronic bid document to the procurement platform. Based on the data processing module set in the procurement platform, it can evaluate multiple bidding suppliers based on the electronic bid document and the basic information of the supplier, and then output the first decision suggestion based on the evaluation. The first decision suggestion can help the project party decide on the best supplier, thereby reducing the risk between the project party and the supplier, while optimizing the supply chain management and making transactions more convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The present invention will be further described below with reference to the accompanying drawings.

[0061] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0062] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0063] like Figure 1As shown, an intelligent construction supply chain management system described in an embodiment of the present invention includes a project information configuration module, a supplier information configuration module and a procurement platform; the project information configuration module is used to create a tender notice; the supplier information configuration module is used to enter and upload electronic bid documents; the procurement platform is used to display the tender notice and receive electronic bid documents, and output a first decision suggestion; the procurement platform includes a display module and a data analysis module, the display module is used to display the tender notice; the data analysis module includes an electronic bid document receiving unit and an evaluation unit; the electronic bid document receiving unit is used to receive electronic bid documents uploaded by suppliers; the evaluation unit is used to analyze electronic bid documents and output a first decision suggestion; the first decision suggestion is used to match suppliers for the project party.

[0064] Based on the above, in one embodiment of the present invention, in order to optimize supply chain management, by setting up a project information configuration module, the project party can create a tender announcement online and upload it to the procurement platform simultaneously. The procurement platform provides a bridge-like function for suppliers and project parties. After the tender announcement is released, the supplier can view the tender announcement through the procurement platform, and select the tender announcement that is consistent with the products operated by the supplier to prepare an electronic bid document, and submit the electronic bid document to the procurement platform. Based on the data processing module set up in the procurement platform, multiple bidding suppliers can be evaluated based on the electronic bid document and the basic information of the supplier, and then a first decision recommendation can be output based on the evaluation. The first decision recommendation can help the project party decide on the best supplier, thereby reducing the risk between the project party and the supplier, while optimizing supply chain management and making transactions more convenient.

[0065] In one embodiment, the project information configuration module includes a demand entry and review unit, which is used for the project party to create and review the tender announcement; the project information configuration module also includes a first display unit, which is used to display the first decision recommendation output by the data analysis module.

[0066] In one embodiment, the procurement platform further includes a data processing module, and the data processing module includes a tender announcement publishing unit and a tender announcement management unit;

[0067] The tender notice publishing unit is used to upload the tender notice to the display module;

[0068] The tender announcement management unit is used to store and manage tender announcements;

[0069] The procurement platform also includes a supplier information storage module, which is used to enter and update basic information corresponding to the supplier; the basic information includes supplier qualifications, date of access to the procurement platform, historical transaction records and evaluations.

[0070] With the digitization of the supply chain, after a project owner creates a tender notice, suppliers select it and bid. However, digital supply chains may be unable to identify supplier risks, potentially leading to issues such as unqualified suppliers and higher risks. This can delay project progress after the project owner signs a contract with a supplier. In one embodiment of the present invention, based on a digital supply chain, tender notices created by the project owner can be displayed on a display module. Suppliers then select and bid from the tender notice displayed on the display module. To mitigate these risks, the procurement platform also utilizes a supplier information storage module. When a supplier accesses the procurement platform, the supplier's qualifications, access date, historical transaction records, and evaluations are recorded. Supplier qualifications are used to measure supplier legitimacy and are a prerequisite for establishing effective transactions. The access date can be used to represent the supplier's experience in product transactions. Generally speaking, the longer a supplier has been connected to the procurement platform, the more trustworthy it is, and vice versa. Transaction records and evaluations can be used to measure the supplier's product quality and service. By entering and updating basic supplier information, the timeliness of procurement platform and supply chain information can be ensured, avoiding potential risks that could harm the interests of the project owner and the procurement platform.

[0071] In one embodiment, the method for analyzing the electronic bid document and outputting the first decision suggestion is:

[0072] Obtain supplier electronic bidding documents and basic information of suppliers;

[0073] Evaluation indicators are established based on the supplier's basic information and electronic bid documents, including price, quality, technology, and service. The supplier's basic information includes qualifications, time of access to the procurement platform, historical transaction records, and evaluations. The electronic bid documents record the products required by the project party and the corresponding prices. Evaluation indicators are constructed based on the above information. In one embodiment of the present invention, the evaluation indicators mainly include price, quality, technology, and service. The price is directly obtained from the electronic bid document, and the quality, technology, and service can be obtained through expert scoring based on historical transaction records and evaluations.

[0074] Establish evaluation criteria and assign weights for each evaluation indicator; the evaluation criteria are used to calculate the scores of each evaluation indicator of the supplier; the weights are based on establishing a hierarchical model, determining the relative importance of each evaluation indicator through pairwise comparison, and obtaining weights;

[0075] As mentioned above, the establishment of evaluation indicators is used to evaluate the comprehensive score of suppliers. The comprehensive score is used to measure the risks of multiple suppliers. That is, the higher the comprehensive score of the supplier, the lower the risk of transactions with it should be, and vice versa. After the evaluation indicators are established, it is necessary to formulate evaluation standards. The evaluation standards can standardize multiple evaluation indicators, thereby facilitating the calculation of comprehensive scores. For example:

[0076] Develop specific scoring criteria for each evaluation indicator, such as:

[0077] Price: The lowest bid will receive 10 points, and 0.5 points will be deducted for every 1% above the base price.

[0078] Delivery: 10 points will be awarded for on-time delivery, and 1 point will be deducted for each day of delay.

[0079] Quality: 10 points will be awarded for passing the quality certification, and 2 points will be deducted for each quality problem.

[0080] Technology: 10 points will be awarded for leading technology, and points will be deducted for lagging technology.

[0081] Service: 10 points for customer satisfaction above 90%, 0.5 points will be deducted for every 1% lower

[0082] Based on the above evaluation criteria, each supplier's evaluation indicators can be converted into standardized scores, and a decision matrix can be established based on this.

[0083] Based on the decision matrix, the score and weight of each evaluation indicator of the supplier are combined to calculate the comprehensive score ;

[0084] The comprehensive score As the evaluation result, the first decision suggestion is output based on the evaluation result; the first decision suggestion is the screening comprehensive score The supplier corresponding to the maximum value is the first supplier;

[0085] The method for calculating the comprehensive score by combining the weights is:

[0086] Get the weight of each evaluation indicator;

[0087] Obtain quantified scores for each supplier's evaluation indicators ;

[0088] According to the formula, calculate the standardized scores of each evaluation indicator ;

[0089] in, For all suppliers The minimum score of the evaluation indicators, For all suppliers The maximum score of the evaluation indicators;

[0090] Calculate the standardized scores of all evaluation indicators in turn ;

[0091] Carry out carbon emission accounting and standardize the carbon emissions to obtain a standardized carbon emission score ;

[0092] in, is the carbon emissions of the supply chain, is the lower limit of carbon emissions, A cap on carbon emissions;

[0093] Calculate the supplier's comprehensive score according to the formula ;

[0094] in, is the weight of each evaluation indicator, is the number of evaluation indicators.

[0095] The weights are obtained using a hierarchical model. The relative importance of each evaluation indicator is evaluated and then the weights are set based on the relative importance. In one embodiment of the present invention, taking steel as an example, the weights are set as follows:

[0096] The weight of the price score is ; The weight of the quality score is ; The weight of the delivery score is The weight of the technical score is ; The weight of the service score is Among them, by obtaining the importance of each evaluation indicator according to the hierarchical structure model and obtaining the weight accordingly, it can be seen that the project parties have the same importance for the price, technology and delivery of steel, with quality being the most important and service being the second most important. At the same time, it is understandable that if the product is different, the weight of each evaluation indicator of the product can be adaptively adjusted.

[0097] In addition, as global attention to climate change increases, project parties may need to report carbon emissions in their supply chains and may face legal risks or financial penalties due to excessive carbon emissions. Calculating carbon emissions means calculating the carbon emissions of the supply chain after the project party establishes a supply chain with its suppliers, mainly including carbon emissions generated in the following processes:

[0098] Carbon emissions during production: Energy consumption, raw material processing, waste disposal, and other processes required to produce products all generate carbon emissions;

[0099] Transportation emissions: Using fuel or gas vehicles to transport products generates carbon emissions

[0100] Raw material acquisition: Carbon emissions are also generated during the mining, processing and transportation of raw materials;

[0101] Product packaging: The production and transportation of packaging materials and the packaging process itself may all involve carbon emissions;

[0102] Product use and disposal: Energy consumption during product use and the disposal of discarded products (such as recycling, landfill or incineration) also generate carbon emissions.

[0103] When calculating carbon emissions in the supply chain, it is necessary to separately calculate the carbon emissions in multiple links such as product raw material acquisition, manufacturing, transportation, storage and disposal, and then summarize them to obtain the carbon emissions of the supply chain;

[0104] According to the carbon emission requirements of the project party, set , ;

[0105] The purpose of establishing a decision matrix is to comprehensively evaluate multiple suppliers. For example:

[0106] The following are the scores of the three vendors on the five evaluation indicators, as shown in Table 1:

[0107] Table 1

[0108]

[0109] The standardized scores of each evaluation indicator for Supplier A are:

[0110]

[0111] The normalized carbon emissions score for Supplier A is:

[0112]

[0113] The standardized scores of each evaluation indicator for Supplier B are:

[0114]

[0115] The normalized carbon emissions score for Supplier B is:

[0116]

[0117] The standardized scores of each evaluation indicator for Supplier C are:

[0118]

[0119] The normalized carbon emissions score for Supplier C is:

[0120]

[0121] Based on the above calculations, we can get:

[0122] Supplier A's overall rating for:

[0123]

[0124] Supplier B's overall rating for:

[0125]

[0126] Overall rating of Supplier C for:

[0127]

[0128] Based on the above calculations, the comprehensive scores of Supplier A, Supplier B, and Supplier C are 0.50, 0.42, and 0.15, respectively. Based on this, in order of the size of the comprehensive scores, Supplier A has the largest comprehensive score, so the first decision recommendation is to select Supplier A as the first supplier, and Supplier B as the second supplier, i.e., the alternative supplier. Through the above calculations, a multi-dimensional comprehensive score is given to different suppliers based on various evaluation indicators, which can help the project party select suppliers and avoid potential risks. At the same time, due to carbon emission requirements, the carbon emissions of the supply chain established by the project party and the supplier also need to be taken into consideration. The same demand plan, when establishing a supply chain with different suppliers, will result in different carbon emissions. Therefore, The lower the carbon emissions, the more environmentally friendly it is. Therefore, carbon emissions must be introduced into the calculation of the comprehensive score, and the comprehensive scores of different suppliers are adjusted by the standardized scores of carbon emissions. It is understandable that if the comprehensive scores of two suppliers are exactly the same, one of them may be arbitrarily selected as the first supplier during the evaluation of the assessment unit. However, due to the failure to consider the carbon emission requirements, the selected supplier may be farther away from the project receiving location and generate more carbon emissions, or the production of the selected supplier's products will generate more carbon emissions, which will affect the environment. Based on the above, introducing carbon emissions as an influencing factor to adjust the comprehensive score of suppliers can effectively reduce the carbon emissions of the supply chain and reduce damage to the environment.

[0129] In one embodiment, the method of analyzing the electronic bid document and outputting the first decision suggestion further includes:

[0130] Obtain the cumulative time each supplier has been connected to the procurement platform based on their basic information and cumulative sales ;

[0131] Obtain the time adjustment coefficient for each supplier according to the formula and sales volume adjustment factor ;

[0132] in, is the set time threshold;

[0133] in, is the maximum sales volume of similar products among all suppliers, The minimum sales volume of similar products among all suppliers;

[0134] Based on the calculated time adjustment factor and sales volume adjustment factor , the solution coefficient affects the comprehensive score ;

[0135] The calculated coefficient affects the overall score , as the updated evaluation result and output the updated first decision recommendation.

[0136] From the historical data, when the comprehensive score is calculated, if the comprehensive scores of two suppliers are basically the same, the procurement platform will use the maximum comprehensive score as the judgment condition and may randomly select one supplier as the first supplier; however, the time of access to the procurement platform and the sales generated during the cumulative time can significantly affect the data analysis module's evaluation of the supplier. For example, if the supplier has been connected to the procurement platform for too short a time, the amount of data on its delivery and service evaluation indicators is too small, resulting in the problem of high scores for its service and delivery evaluation indicators, thereby causing inaccuracy in the comprehensive score. Based on the above, in one embodiment of the present invention, a time adjustment coefficient is introduced. and sales volume adjustment factor , in order to update the supplier's comprehensive rating;

[0137] For example: Assume we have the following supplier data, as shown in Table 2 below:

[0138] Table 2

[0139]

[0140] Supplier D is a new supplier, which is used to compare with Supplier A and set the time threshold. The purpose of setting a time threshold is to standardize the cumulative access time of multiple suppliers, so as to facilitate the measurement of the relationship between the cumulative time suppliers have been connected to the procurement platform and their sales volume.

[0141] Calculated according to the formula:

[0142] Supplier A's cumulative access time is 24 months, so ;

[0143] Supplier B's cumulative access time is 12 months, so ;

[0144] The cumulative access time of supplier C is 6 months, so ;

[0145] The cumulative access time of supplier D is 24 months, so ;

[0146] Supplier A's sales volume is 80 units, so ;

[0147] Supplier B's sales volume is 50 units, so ;

[0148] Supplier C's sales volume is 30 units, so ;

[0149] Supplier D's sales volume is 50 units, so ;

[0150] Based on the above, assume that the comprehensive score of supplier D is , consistent with supplier B, and then calculate the coefficient impact comprehensive score of supplier A, supplier B, supplier C, and supplier D:

[0151]

[0152] Therefore, according to the above data, even though the comprehensive score of supplier D is the same as that of supplier A, after introducing the time adjustment coefficient and sales adjustment coefficient, it can be clearly seen that the coefficient of supplier B affects the comprehensive score much more than the coefficient of supplier D. From the data, even if the time when supplier D connected to the procurement platform is the same as that of supplier A, in terms of sales performance over the cumulative time, supplier A is far better than supplier D. The reason for this may be that the sales of supplier D are much lower than those of supplier A due to factors other than the established evaluation indicators. Therefore, in order to avoid potential risks, when the comprehensive scores of two suppliers are basically the same, the procurement platform may make a wrong selection, resulting in potential risks. Therefore, based on the calculation of the comprehensive score based on the influence of the above coefficients, it can also assist the procurement platform in optimizing the calculation of the comprehensive score and the analysis of suppliers, so as to help the project party avoid potential risks and find more trustworthy suppliers.

[0153] In one embodiment, the supplier information configuration module includes an electronic bid document input and upload unit and a second display unit. The electronic bid document input and upload unit is used to create and upload the electronic bid document; the second display unit is used to display the second decision recommendation.

[0154] In one embodiment, the supplier information configuration module further includes a demand analysis module;

[0155] The demand analysis module is used to analyze demand change trends based on the tender notice;

[0156] The method for analyzing demand changes based on the tender announcement is:

[0157] Regularly collect tender notices on the procurement platform;

[0158] Establishing a database to store tender notices and obtain historical data; the historical data is the collected tender notices arranged in chronological order;

[0159] Predict demand trends based on time series analysis models and historical data, and output forecast results;

[0160] Outputting a second decision recommendation based on the prediction results of the time series analysis model; the second decision recommendation is used to help suppliers adjust their inventory strategies, including clearing out slow-moving inventory and replenishing potentially hot-selling products;

[0161] The time series analysis model is any one of an ARIMA model, a SARIMA model and a Prophet model.

[0162] The digitized supply chain management system can realize the rapid connection between the project party and the supplier, thereby accelerating the formation of the supply chain. For the supplier, its purpose is to reach cooperation with the project party to expand profits. Therefore, the supplier generally chooses to stock more, but overstocking will also cause problems such as inventory accumulation, especially for products with a warranty period. If they cannot be sold within the warranty period, it will cause greater losses to the supplier. Based on this, in one embodiment of the present invention, based on the digitized procurement platform and the tender notices uploaded by the project party on the procurement platform, all historical tender notices can be obtained, and the demand change trend of the product can be analyzed based on the time series analysis model, so as to output the prediction results, and use the prediction results to output the second decision recommendation to provide guidance for the supplier to adjust the inventory strategy. Based on this, the supplier can dynamically adjust the inventory, clean up the unsalable inventory and replenish potential hot-selling products in time, so as to achieve the purpose of expanding profits and reducing losses.

[0163] In one embodiment, the project information configuration module further includes a contract management unit, the contract management unit being configured to generate and manage supplier contracts;

[0164] When the first decision suggestion is adopted, the contract management unit generates a contract based on the electronic bidding document and saves it in the contract management unit after the supplier signs it.

[0165] In one embodiment, the evaluation unit is further configured to perform risk warning. The method by which the evaluation unit performs risk warning is:

[0166] The coefficient of regularly storing similar products from suppliers affects the overall score ;

[0167] The coefficient affects the overall score Compare to risk threshold:

[0168] When the coefficient affects the comprehensive score If the risk is lower than the risk threshold, a warning prompt is sent to the cooperating project party; the warning prompt is displayed on the first display unit;

[0169] Otherwise, no warning will be sent.

[0170] When a supplier and a project party reach a cooperation agreement, if there is a risk in the supplier when the product has not been received or shipped, it may seriously affect the progress of the project. Based on this, in one embodiment of the present invention, the comprehensive score can also be affected by obtaining the coefficient of similar products of the supplier. , using real-time updated coefficients to influence the comprehensive score To conduct risk warning, for example:

[0171] If Supplier A signs a contract with Project Party A regarding Product X, but Project Party A has not yet shipped or received Product X, and Supplier A submits an electronic bid to Project Party B, the evaluation unit will calculate the coefficient of Supplier A's impact on the comprehensive score. When the risk is reduced to the threshold, the supplier A can be informed by sending an early warning prompt, so that the supplier A can prepare countermeasures in advance and change suppliers in time to prevent the project progress from being seriously affected. Among them, the supplier's coefficient affects the comprehensive score It changes all the time, so the coefficients of each supplier in the evaluation unit affect the comprehensive score. When considering or quoting data, all data are historical data. As time changes, the supplier's coefficient affects the comprehensive score. Changes will occur, which may affect the interests of the project party. Therefore, adding an early warning mechanism can effectively improve the management of the supply chain.

[0172] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent construction supply chain management system, characterized in that: include: Project information configuration module, used to create tender notices; Supplier information configuration module, used to enter and upload electronic bid documents; Procurement platform, used to display tender notices and receive electronic bids, and output first-line decision recommendations; The procurement platform includes a display module and a data analysis module, wherein the display module is used to display the tender notice; The data analysis module includes an electronic tender receiving unit and an evaluation unit; The electronic tender document receiving unit is used to receive the electronic tender document uploaded by the supplier; The evaluation unit is used to analyze the electronic bid document and output a first decision suggestion; The first decision suggestion is used to match suppliers for the project party; The method for analyzing the electronic tender document and outputting the first decision suggestion is: Obtain supplier electronic bidding documents and basic information of suppliers; Establish evaluation indicators based on the supplier's basic information and electronic bidding documents, including price, quality, technology and service; Establish evaluation criteria and assign weights for each evaluation indicator; the evaluation criteria are used to calculate the supplier's scores for each evaluation indicator; The weight is based on establishing a hierarchical model, determining the relative importance of each evaluation indicator through pairwise comparison, and obtaining the weight; Based on the decision matrix, the score and weight of each evaluation indicator of the supplier are combined to calculate the comprehensive score Q j ; The comprehensive score Q j As an evaluation result, a first decision suggestion is outputted according to the evaluation result; The first decision suggestion is the screening comprehensive score Q j The supplier corresponding to the maximum value is the first supplier; The method for calculating the comprehensive score by combining the weights is: Get the weight of each evaluation indicator; Obtain quantified scores for each supplier's evaluation indicators According to the formula, calculate the standardized scores of each evaluation indicator in, is the minimum score of the i-th evaluation indicator of all suppliers, is the maximum score of the i-th evaluation indicator of all suppliers; Calculate the standardized scores of all evaluation indicators in turn Carry out carbon emission accounting and standardize the carbon emissions to obtain the standardized carbon emission score Q k ; Q k =(Q k_in -Q k_min ) / (Q k_max -Q k_min ) Among them, Q k_in is the carbon emissions of the supply chain, Q k_min is the lower limit of carbon emissions, Q k_max A cap on carbon emissions; According to the formula, calculate the supplier's comprehensive score Q j : Among them, W i is the weight of each evaluation indicator, and n is the number of evaluation indicators; The method for analyzing the electronic bid document and outputting the first decision suggestion further includes: Based on the basic information of suppliers, the cumulative time ΔT and cumulative sales volume S of each supplier who has accessed the procurement platform are obtained. j ; Obtain the time adjustment coefficient T of each supplier according to the formula j and sales adjustment coefficient R j ; Among them, T s is the set time threshold; Among them, S max is the maximum sales volume of similar products among all suppliers, S min The minimum sales volume of similar products among all suppliers; Based on the calculated time adjustment factor T j and sales adjustment coefficient R j , the solution coefficient affects the comprehensive score The calculated coefficient affects the overall score The updated evaluation result is used as the first decision recommendation after being output.

2. The intelligent construction supply chain management system according to claim 1, characterized in that: The project information configuration module includes a demand entry and review unit, which is used for the project party to create and review the tender announcement; the project information configuration module also includes a first display unit, which is used to display the first decision suggestion output by the data analysis module.

3. The intelligent construction supply chain management system according to claim 1, characterized in that: The procurement platform further includes a data processing module, which includes a tender announcement publishing unit and a tender announcement management unit; The tender notice publishing unit is used to upload the tender notice to the display module; The tender announcement management unit is used to store and manage tender announcements; The procurement platform also includes a supplier information storage module, which is used to enter and update basic information corresponding to the supplier; the basic information includes supplier qualifications, date of access to the procurement platform, historical transaction records and evaluations.

4. The intelligent construction supply chain management system according to claim 1, characterized in that: The supplier information configuration module includes an electronic bid document input and upload unit and a second display unit. The electronic bid document input and upload unit is used to create and upload an electronic bid document; the second display unit is used to display a second decision suggestion.

5. The intelligent construction supply chain management system according to claim 4, characterized in that: The supplier information configuration module also includes a demand analysis module; The demand analysis module is used to analyze demand change trends based on the tender notice; The method for analyzing demand changes based on the tender announcement is: Regularly collect tender notices on the procurement platform; Establishing a database to store tender notices and obtain historical data; the historical data is the collected tender notices arranged in chronological order; Predict demand trends based on time series analysis models and historical data, and output forecast results; Output the second decision suggestion based on the prediction results of the time series analysis model; The second decision recommendation is used to help the supplier adjust its inventory strategy, which includes clearing slow-moving inventory and replenishing potential hot-selling products; The time series analysis model is any one of an ARIMA model, a SARIMA model and a Prophet model.

6. The intelligent construction supply chain management system according to claim 4, characterized in that: The project information configuration module also includes a contract management unit, which is used to generate and manage supplier contracts; When the first decision suggestion is adopted, the contract management unit generates a contract based on the electronic bidding document and saves it in the contract management unit after the supplier signs it.

7. The intelligent construction supply chain management system according to claim 6, characterized in that: The evaluation unit is also used to perform risk warning; the method for the evaluation unit to perform risk warning is: The coefficient of regularly storing similar products from suppliers affects the overall score The coefficient affects the overall score Compare to risk threshold: When the coefficient affects the comprehensive score If the risk is lower than the threshold, an early warning will be sent to the cooperating project parties; The warning prompt is displayed on the first display unit; Otherwise, no warning will be sent.

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