Intelligent logistics warehousing management system based on the Internet of Things

Abstract

The present invention discloses an intelligent logistics warehousing management system based on the Internet of Things, and relates to the technical field of warehousing management. The present invention comprises a warehouse area design module, an evaluation module and a layout optimization module; the warehouse area design module is used to perform a preliminary design on the warehouse area of ​​the warehouse; the business requirements collected first include product characteristics, storage requirements, expected flow and safety requirements; the present invention integrates the warehouse area design, performance evaluation and layout optimization modules, and can quickly identify and solve bottleneck problems in the warehouse area layout through real-time monitoring of warehouse operation data and regular evaluation. At the same time, the design flexibility of the system allows it to adapt to changes in the types and flows of goods, ensuring full utilization of warehouse space and optimization of resource allocation.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing management, and in particular to an intelligent logistics warehousing management system based on the Internet of Things. Background Art

[0002] Logistics and warehousing management refers to a series of activities that effectively organize, coordinate, supervise and evaluate the storage, custody, control and distribution of goods in warehouses during the supply chain management process. The goal of the logistics and warehousing management system is to improve warehousing efficiency, reduce costs, ensure the safety of goods and improve customer service levels. With the development of science and technology, logistics and warehousing management is gradually developing towards automation, informatization and intelligence;

[0003] However, the traditional warehouse management system is not reasonably designed for the warehouse area, lacks flexibility, and is difficult to adapt to changes in cargo types and flows. The lack of effective space optimization will lead to underutilization of warehouse space. Therefore, an intelligent logistics warehouse management system based on the Internet of Things is designed.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in traditional warehouse management systems, such as unreasonable warehouse area design, lack of flexibility in design, difficulty in adapting to changes in cargo types and flow rates, and lack of effective space optimization, which leads to under-utilization of warehouse space. An intelligent logistics warehouse management system based on the Internet of Things is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] Intelligent logistics warehousing management system based on the Internet of Things, including:

[0008] Warehouse area design module, used to make preliminary design of the warehouse area;

[0009] The evaluation module is used to evaluate the operational performance of the preliminary designed warehouse area layout. The specific steps are as follows:

[0010] First, the operational data of the warehouse in operation is collected, including the speed of goods circulation, storage utilization rate, order fulfillment time, equipment usage and employee work efficiency, and real-time monitoring is carried out to automatically record the storage and circulation of goods;

[0011] Set an evaluation cycle and regularly evaluate warehouse performance according to the evaluation cycle. The evaluation content includes key performance indicators such as service level, operating cost and resource utilization. The service level value, cost evaluation value and capital profit value are obtained by analyzing the evaluation content respectively. After normalization, they are entered into the following formula: To get the warehouse value CXZ, where DSP, CPZ and ZLZ are the service balance value, evaluation value and capital profit value respectively. They are the preset weight coefficients of service parity value, evaluation value and capital profit value respectively;

[0012] The calculated warehouse property value is then compared with the preset warehouse property standard value. When the warehouse property value is greater than or equal to the preset warehouse property standard value, it is judged that the operating performance of the preliminary designed warehouse area layout meets the standard. Otherwise, it is judged that the operating performance of the preliminary designed warehouse area layout does not meet the standard, and an optimization signal is transmitted to the layout optimization module, and the preliminary designed warehouse area layout is optimized through the layout optimization module;

[0013] The layout optimization module is used to continuously optimize the preliminary designed warehouse layout. The specific steps are as follows:

[0014] After receiving the optimization signal transmitted by the evaluation module, the warehouse performance value of the preliminary designed warehouse area layout operation performance is analyzed and evaluated first, and the insufficient index of the warehouse performance value calculated by the service level, operation cost and resource utilization index is identified;

[0015] Then collect feedback from employees, managers and customers on the preliminary designed warehouse layout, and collect usage data of the preliminary designed warehouse layout;

[0016] Then use simulation software to simulate the current warehouse operation process, identify bottlenecks and inefficient links through simulation results, and identify specific problems that affect warehouse performance based on simulation results and collected data;

[0017] Based on the identification of the problem, several optimization plans are generated, and each optimization plan is evaluated to obtain the case evaluation value of each optimization plan. Then, the case evaluation values ​​obtained by analyzing all the optimization plans formed by the identified single problem are sorted according to size, and the optimization plan with the largest case evaluation value is marked as the optimization plan required to be executed for the problem;

[0018] Then, formulate a specific implementation plan based on the optimization solutions required for the marked problems, including timetable, responsibility allocation and resource allocation. At the same time, adjust resource configuration based on the optimization solutions required for the marked problems, including reallocating storage space and adjusting equipment layout.

[0019] Furthermore, the specific steps of the warehouse area design module for preliminary design of the warehouse area are as follows:

[0020] First, collect the business requirements including product features, storage requirements, expected traffic and security requirements, then evaluate the collected business requirements to determine the basic requirements for warehouse design; based on the analysis results, clarify the design goals;

[0021] Then use professional simulation software to simulate the warehouse operation process, evaluate the efficiency and effect of different design solutions, select simulation software according to specific needs, build simulation models through actual warehouse layout and processes, conduct simulation experiments, collect data and results, and evaluate simulation results to find bottlenecks and improvement points in warehouse design;

[0022] Then collect the types, quantities and consumption frequency of inventory items, classify them according to the frequency of use and importance of inventory items, and determine storage and management strategies for different categories of items;

[0023] Then, a mathematical model is established, and the model is established using linear programming and dynamic programming methods. Relevant parameters are input, and the algorithm is used to solve the model to obtain the optimal solution or feasible solution, and the solution results are analyzed to evaluate whether they meet the design requirements;

[0024] Then determine the storage requirements, analyze the characteristics of the items, determine the basic requirements of the storage system, evaluate different storage systems based on the basic requirements of the storage system, and design the storage layout of the warehouse based on the selected storage system;

[0025] Then determine the goals and constraints of space optimization, select the appropriate optimization algorithm based on the characteristics of the problem, program the algorithm, perform optimization calculations, evaluate the optimization results, determine the optimal layout, and use this optimal layout as the preliminary design standard for the storage area.

[0026] Furthermore, the specific operation steps for analyzing the service balance value in the evaluation module are as follows:

[0027] Service level is analyzed through comprehensive analysis of order fulfillment time, order accuracy, inventory availability, on-time delivery rate, cargo damage rate and customer satisfaction in service level;

[0028] Among them, inventory availability refers to the availability of inventory when a customer needs a certain item, and is quantified by the number of times the inventory cannot meet the user's needs, recorded as no full value;

[0029] Customer satisfaction is obtained through surveys or feedback mechanisms. The average of all customer scores is calculated to obtain the mean rating, which is used as the standard for measuring customer satisfaction surveys.

[0030] Then, the obtained order fulfillment time, order accuracy, no full value, cargo damage rate and average evaluation value are normalized and calibrated as lt, dz, wm, hs and jp respectively, and substituted into the following formula: To obtain the service average value DSP, and use this service average value DSP as the standard to measure service level.

[0031] Furthermore, the specific operation steps of the evaluation value analysis in the evaluation module are as follows:

[0032] The cost assessment is a comprehensive analysis of all costs incurred by the warehouse in performing its functions, including:

[0033] Human resource costs: wages, benefits and related human resource expenses, and calculate the total amount;

[0034] Equipment cost: the sum of equipment costs for purchase, lease, maintenance and depreciation;

[0035] Space cost: the sum of rent, maintenance and other costs associated with warehouse space;

[0036] Transportation costs: the cost of transporting goods in and out of the warehouse;

[0037] Administrative costs: Expenses for warehouse management activities, including the cost of using software and tools;

[0038] Loss costs: costs caused by damage, expiration, etc. of goods;

[0039] Then calculate the difference between all the above costs and the preset corresponding cost values, sum up all the costs exceeding the standard to get the cost evaluation value, and use this cost evaluation value as the abnormal standard for measuring the warehouse operation cost.

[0040] Furthermore, the specific operation steps of the capital value in the evaluation module are as follows:

[0041] The capital value is comprehensively analyzed through resource utilization. Resource utilization is the efficiency of warehouse resources. Warehouse resources include:

[0042] Inventory turnover rate: the number of times inventory goods are sold or used in a certain period of time;

[0043] Space utilization: the proportion of warehouse space that is effectively used;

[0044] Equipment utilization rate: the use frequency and working time of all equipment, and the use frequency and working time of all equipment in use are averaged to get the use frequency value and the time average value, and the product of the use frequency value and the time average value calculated after normalization is used to get the equipment benefit value, which is used as the standard for measuring equipment utilization rate;

[0045] Labor productivity: The average amount of goods handled by employees per hour. The sum of the average amount of goods handled by all employees per hour and the sum of the sum of the sum of all employees is used to measure the labor productivity.

[0046] Energy efficiency: the ratio of energy used in warehouse operations to the amount of work done;

[0047] Order processing cycle: the average time required to process each order;

[0048] Then, the obtained inventory turnover rate, space utilization rate, profit value, total product value, energy efficiency and order processing cycle are normalized respectively, and the product value of inventory turnover rate, space utilization rate and energy efficiency is used as the base circle radius to establish the bottom circle. Then, the sum of the profit value and the total product value is used as the height to establish a cone model. The vertex of the cone model is used as the center of the sphere, and the order processing cycle multiplied by the influencing factor is used as the radius to establish a spherical model. The cylindrical model is cut off using the spherical model as the cutting standard, and the surface area of ​​the remaining special-shaped model is calculated, recorded as the profit value, and the profit value is used as the standard for measuring warehouse resource utilization.

[0049] Furthermore, the specific operation steps of the layout optimization module to evaluate each optimization scheme are as follows:

[0050] First, a comprehensive analysis of the cost-benefit analysis, resource requirements and potential risks of each optimization plan is conducted to obtain the input value, cost savings, return on investment and net present value. After normalization, they are calibrated as tr, jc, th and jx respectively and substituted into the following formula: To obtain the benefit value TXZ, and use this benefit value TXZ as the cost-benefit analysis standard for measuring the optimization plan.

[0051] Furthermore, the specific operation steps of the layout optimization module for cost-benefit analysis, resource requirements and potential risk analysis of the optimization scheme are as follows:

[0052] The cost-benefit analysis includes statistics on the initial investment cost, operating cost, labor cost, cost savings, return on investment and net present value of the optimization plan. The sum of the initial investment cost, operating cost and labor cost is calculated and recorded as the input value. The cost savings is the cost that is expected to be reduced by implementing this optimization plan. The return on investment is the ratio of the total benefits brought by implementing this optimization plan to the total cost; the net present value is the sum of the present values ​​of the future cash flows of the optimization plan taking into account the time value;

[0053] Then, the obtained input value, cost saving, return on investment and net present value are normalized and calibrated as tr, jc, th and jx respectively, and substituted into the following formula: To obtain the benefit value TXZ, and use this benefit value TXZ as the cost-benefit analysis standard for measuring the optimization plan;

[0054] Resource requirements include:

[0055] Space requirement: the specific increase in warehouse space required by the optimization plan;

[0056] Equipment requirements: the amount of equipment required to be purchased or leased;

[0057] Human Resources: Number of staff needed, skill levels and training needs, rated on a scale of 1-10;

[0058] Technical requirements: the percentage of technical support and system upgrade difficulty level required to implement the optimization plan, and sum them up;

[0059] Time resources: the time required to design, implement and produce results of the program;

[0060] Then, the above requirements are normalized and multiplied by the corresponding preset weight coefficients and summed to obtain the resource demand value, and this resource demand value is used as the resource demand measurement standard for measuring the optimization plan;

[0061] Potential risks include:

[0062] Technical risks: possible technical defects and compatibility issues of new systems or equipment in the optimization plan;

[0063] Market risk: the impact that market changes may have on the effectiveness of the optimization plan;

[0064] Operational risks: operational errors or delays that may result from new processes or systems;

[0065] Financial risks: financial problems such as exceeding budget and return on investment lower than expected;

[0066] Compliance risk: whether the plan complies with relevant laws, regulations and industry standards;

[0067] Supply chain risks: risks that may arise from supplier reliability and supply chain stability;

[0068] The above different risks are assigned a risk score of 1-100. The higher the risk score, the greater the corresponding risk. The risk scores corresponding to all risks are normalized and summed up to obtain the risk value, which is used as the standard for measuring the potential risks of the optimization plan.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The present invention integrates warehouse area design, performance evaluation and layout optimization modules. Through real-time monitoring of warehouse operation data and regular evaluation, it can quickly identify and solve bottleneck problems in warehouse area layout. At the same time, the system's design flexibility allows it to adapt to changes in cargo types and flows, ensuring full utilization of warehouse space and optimization of resource allocation.

[0071] The present invention provides detailed financial forecasting and risk management for each optimization plan through cost-benefit analysis and potential risk assessment, helping to select the most economical and lowest-risk solution, which not only improves the return on investment, but also ensures the financial feasibility and risk controllability of the optimization plan;

[0072] The present invention, through service level evaluation, the system can ensure the warehouse's rapid response to customer needs and improve the accuracy and timeliness of order fulfillment. In addition, the system also takes into account the quantitative analysis of customer satisfaction, which helps to improve customer service quality and enhance customer trust and loyalty. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0074] Figure 1 This is the overall system block diagram of the present invention. DETAILED DESCRIPTION

[0075] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0077] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0078] like Figure 1 As shown, the intelligent logistics warehousing management system based on the Internet of Things includes a warehouse area design module, an evaluation module and a layout optimization module;

[0079] The warehouse area design module is used to make a preliminary design of the warehouse area;

[0080] First, collect the business requirements including product characteristics, storage requirements, expected traffic and security requirements, then evaluate the collected business requirements to determine the basic requirements for warehouse design; based on the analysis results, clarify the design goals, including storage capacity and operating efficiency;

[0081] Then use professional simulation software to simulate the warehouse operation process, evaluate the efficiency and effect of different design solutions, select simulation software according to specific needs, build simulation models through actual warehouse layout and processes, conduct simulation experiments, collect data and results, and evaluate simulation results to find bottlenecks and improvement points in warehouse design;

[0082] Then collect the types, quantities and consumption frequency of inventory items, classify them according to the frequency of use and importance of inventory items, and determine storage and management strategies for different categories of items;

[0083] Then build a mathematical model: use linear programming and dynamic programming methods to build the model, input relevant parameters, including cost, time and resource constraints, and use algorithms to solve the model to obtain the optimal solution or feasible solution, analyze the solution results, and evaluate whether they meet the design requirements;

[0084] Then determine the storage needs, analyze the characteristics of the items, determine the basic needs of the storage system, and evaluate different storage systems based on the basic needs of the storage system, including automated shelves, ordinary shelves, etc.

[0085] And design the storage layout of the warehouse according to the selected storage system;

[0086] After determining the goals and constraints of space optimization, and selecting the appropriate optimization algorithm based on the characteristics of the problem, the algorithm is programmed to perform optimization calculations, evaluate the optimization results, determine the optimal layout, and use this optimal layout as the preliminary design standard for the storage area.

[0087] The evaluation module is used to evaluate the operational performance of the preliminary designed warehouse area layout;

[0088] First, the operational data of the warehouse in operation is collected, including the speed of goods circulation, storage utilization rate, order fulfillment time, equipment usage and employee work efficiency, and real-time monitoring is carried out to automatically record the storage and circulation of goods;

[0089] Set up an evaluation cycle and regularly evaluate warehouse performance according to the evaluation cycle. The evaluation content includes key performance indicators such as service level, operating cost and resource utilization;

[0090] The service level reflects the warehouse's ability to respond to and meet customer needs, and is comprehensively analyzed through order fulfillment time, order accuracy, inventory availability, on-time delivery rate, cargo damage rate and customer satisfaction: Order fulfillment time is the interval between the warehouse receiving the order information and shipping; Order accuracy is the proportion of orders correctly fulfilled by the warehouse to the total order volume; Inventory availability is the availability of inventory when a customer needs a certain item, and is quantified by the number of times the inventory cannot meet user needs, recorded as no full value; Cargo damage rate is the proportion of goods damaged while stored in the warehouse; Customer satisfaction is obtained through surveys or feedback mechanisms. Customer satisfaction scores are obtained, and the average of all customer scores is obtained to obtain an average rating, which is used as a standard for measuring customer satisfaction surveys; Then, the obtained order fulfillment time, order accuracy, no full value, cargo damage rate and average rating are normalized and calibrated as lt, dz, wm, hs and jp, respectively, and substituted into the following formula: To obtain the service average DSP, and use this service average DSP as the standard to measure service level;

[0091] Operational costs involve all costs incurred by the warehouse when performing its functions, including: labor costs: wages, benefits and related human resources expenses, and calculate the total; equipment costs: the sum of equipment costs for purchase, leasing, maintenance and depreciation; space costs: the sum of rent, maintenance and other costs related to warehouse space; transportation costs: transportation costs for goods in and out of the warehouse; management costs: expenses for warehouse management activities, including the cost of using software and tools; loss costs: costs caused by damaged goods, expiration, etc.; then calculate the difference between all the above costs and the preset corresponding cost values, sum up all the costs that exceed the standard to obtain the cost evaluation value, and use this cost evaluation value as the abnormal standard for measuring warehouse operation costs;

[0092] Resource utilization is the efficiency of warehouse resource utilization, which includes: inventory turnover rate: the number of times inventory is sold or used within a certain period of time; space utilization rate: the proportion of warehouse space that is effectively utilized; equipment utilization rate: the frequency of use and working hours of equipment such as forklifts and stackers, and the frequency of use and working hours of all equipment in use are calculated to average the frequency value and the average time value, and the product of the frequency value and the average time value calculated after normalization is obtained to obtain the equipment utilization value, and this equipment utilization value is used as the standard for measuring equipment utilization; labor productivity: the average amount of goods handled by employees per hour, the average amount of goods handled by all employees per hour is summed up and divided by the number of all employees to obtain the total value, and this total value is used as the standard for measuring labor productivity; energy efficiency: the amount of goods used in warehouse operations. The ratio of energy used to the amount of work completed; Order processing cycle: the average time required to process each order; Then, after normalizing the obtained inventory turnover rate, space utilization rate, design benefit value, total production value, energy efficiency and order processing cycle, the product of inventory turnover rate, space utilization rate and energy efficiency is used as the bottom circle radius to establish a bottom circle, and then the sum of the design benefit value and the total production value is used as the height to establish a cone model, and the vertex of the cone model is used as the center of the sphere, and the order processing cycle multiplied by the impact factor is used as the radius to establish a spherical model, where the impact factor is set between 0.12-0.31, and the cylindrical model is cut off with the spherical model as the cutting standard, and the surface area of ​​the remaining special-shaped model is calculated, recorded as the design benefit value, and the design benefit value is used as the standard for measuring warehouse resource utilization;

[0093] Then, the service balance value, evaluation value and capital value obtained from the analysis are normalized and entered into the following formula: To get the warehouse value CXZ, where CPZ and ZLZ are the evaluation value and profit value respectively. They are the preset weight coefficients of the service balance value, evaluation value and capital value, and their values ​​are 0.92, 1.16 and 0.89 respectively; then the calculated warehouse property value CXZ is compared with the preset warehouse property standard value. When the warehouse property value CXZ is greater than or equal to the preset warehouse property standard value, it is judged that the operating performance of the preliminary designed warehouse area layout meets the standard; otherwise, it is judged that the operating performance of the preliminary designed warehouse area layout does not meet the standard, and the optimization signaling is transmitted to the layout optimization module, and the preliminary designed warehouse area layout is optimized through the layout optimization module.

[0094] The layout optimization module is used to continuously optimize the preliminary designed warehouse layout;

[0095] After receiving the optimization signaling transmitted by the evaluation module, the preliminary designed warehouse area layout is optimized. The specific steps are as follows: first, analyze and evaluate the warehouse value of the preliminary designed warehouse area layout operation performance, and identify the insufficient indicators of the warehouse value calculated by the service level, operating cost and resource utilization indicators; then collect feedback on the preliminary designed warehouse area layout from employees, managers and customers, and collect the usage data of the preliminary designed warehouse area layout, including logistics flow, storage efficiency and equipment usage; then simulate the current warehouse area operation process through simulation software, and identify bottlenecks and inefficient links through simulation results, and identify specific problems affecting the performance of the warehouse area based on the simulation results and collected data;

[0096] Based on the identification of the problem, several optimization solutions are generated and each optimization solution is evaluated. The specific steps are as follows:

[0097] A comprehensive analysis is conducted on the cost-benefit analysis, resource requirements and potential risks of each optimization plan. The cost-benefit analysis includes statistics on the initial investment cost, operating cost, labor cost, cost savings, return on investment and net present value of the optimization plan. The sum of the initial investment cost, operating cost and labor cost is calculated and recorded as the input value. The cost savings is the cost expected to be reduced by implementing this optimization plan. The return on investment is the ratio of the total benefit brought by implementing this optimization plan to the total cost; the net present value is the sum of the present values ​​of the future cash flows of the optimization plan considering the time value; the input value, cost savings, return on investment and net present value are normalized and calibrated as tr, jc, th and jx respectively, and substituted into the following formula: To obtain the benefit value TXZ, and use this benefit value TXZ as the cost-benefit analysis standard for measuring the optimization plan;

[0098] Resource requirements include: Space requirements: the specific numerical increase in warehouse space required by the optimization plan; Equipment requirements: the number of equipment required to be purchased or leased; Human resources: the number of employees required, their skill levels and training requirements, and a score of 1-10; Technical requirements: the percentage of technical support and system upgrade difficulty level required to implement the optimization plan, and sum them up; Time resources: the time required for plan design, implementation and effect; After normalizing the above requirements, multiply them by the corresponding preset weight coefficients and sum them up to obtain the resource demand value, and use this resource demand value as the resource demand measurement standard for the optimization plan;

[0099] Potential risks include: Technical risks: possible technical defects and compatibility issues in new systems or equipment in the optimization plan; Market risks: the impact that market changes may have on the effectiveness of the optimization plan; Operational risks: possible operational errors or delays caused by new processes or systems; Financial risks: financial issues such as exceeding budgets and lower-than-expected return on investment; Compliance risks: whether the plan complies with relevant laws, regulations and industry standards; Supply chain risks: risks that may be caused by the reliability of suppliers and the stability of the supply chain; Assign risk scores of 1-100 to the above different risks. The higher the risk score, the greater the corresponding risk. The risk scores corresponding to all risks are normalized and summed up to obtain the risk value, and this risk value is used as the standard for measuring the potential risks of the optimization plan;

[0100] Then, the obtained benefit value, resource demand value and risk value are normalized and the case evaluation value is obtained by multiplying the benefit value by the correction factor and dividing it by the product of the resource demand value and the risk value. The case evaluation value is used as the evaluation standard for measuring the optimization plan, where the correction factor is set between 15 and 19. Then, the case evaluation values ​​obtained by analyzing all the optimization plans formed by the identified single problem are sorted by size, and the optimization plan with the largest case evaluation value is marked as the optimization plan required to be executed for the problem.

[0101] Then, formulate a specific implementation plan based on the optimization solutions required for the marked problems, including timetable, responsibility allocation and resource allocation. At the same time, adjust resource configuration based on the optimization solutions required for the marked problems, including reallocating storage space and adjusting equipment layout.

[0102] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Intelligent logistics warehousing management system based on the Internet of Things, characterized by: include: The warehouse area design module is used to make a preliminary design of the warehouse area. The specific steps are as follows: First, collect the business requirements including product features, storage requirements, expected traffic and security requirements, then evaluate the collected business requirements to determine the basic requirements for warehouse design; based on the analysis results, clarify the design goals; Then use professional simulation software to simulate the warehouse operation process, evaluate the efficiency and effect of different design solutions, select simulation software according to specific needs, build simulation models through actual warehouse layout and processes, conduct simulation experiments, collect data and results, and evaluate simulation results to find bottlenecks and improvement points in warehouse design; Then collect the types, quantities and consumption frequency of inventory items, classify them according to the frequency of use and importance of inventory items, and determine storage and management strategies for different categories of items; Then, a mathematical model is established, and the model is established using linear programming and dynamic programming methods. Relevant parameters are input, and the algorithm is used to solve the model to obtain the optimal solution or feasible solution, and the solution results are analyzed to evaluate whether they meet the design requirements; Then determine the storage requirements, analyze the characteristics of the items, determine the basic requirements of the storage system, evaluate different storage systems based on the basic requirements of the storage system, and design the storage layout of the warehouse based on the selected storage system; Then determine the goals and constraints of space optimization, select the appropriate optimization algorithm according to the characteristics of the problem, program the algorithm, perform optimization calculations, evaluate the optimization results, determine the optimal layout, and use this optimal layout as the preliminary design standard for the storage area; The evaluation module is used to evaluate the operational performance of the preliminary designed warehouse area layout. The specific steps are as follows: First, the operational data of the warehouse in operation is collected, including the speed of goods circulation, storage utilization rate, order fulfillment time, equipment usage and employee work efficiency, and real-time monitoring is carried out to automatically record the storage and circulation of goods; Set an evaluation cycle and regularly evaluate warehouse performance according to the evaluation cycle. The evaluation content includes key performance indicators such as service level, operating cost and resource utilization. The service level value, cost evaluation value and capital profit value are obtained by analyzing the evaluation content respectively. After normalization, they are entered into the following formula: To get the warehouse value CXZ, where DSP, CPZ and ZLZ are the service balance value, evaluation value and capital profit value respectively. They are the preset weight coefficients of service parity value, evaluation value and capital profit value respectively; The calculated warehouse property value is then compared with the preset warehouse property standard value. When the warehouse property value is greater than or equal to the preset warehouse property standard value, it is judged that the operating performance of the preliminary designed warehouse area layout meets the standard. Otherwise, it is judged that the operating performance of the preliminary designed warehouse area layout does not meet the standard, and an optimization signal is transmitted to the layout optimization module, and the preliminary designed warehouse area layout is optimized through the layout optimization module; The analysis process of the capital value is as follows: The capital value is comprehensively analyzed through resource utilization. Resource utilization is the efficiency of warehouse resources. Warehouse resources include: Inventory turnover rate: the number of times inventory goods are sold or used in a certain period of time; Space utilization: the proportion of warehouse space that is effectively used; Equipment utilization rate: the use frequency and working time of all equipment, and the use frequency and working time of all equipment in use are averaged to get the use frequency value and the time average value, and the product of the use frequency value and the time average value calculated after normalization is used to get the equipment benefit value, which is used as the standard for measuring equipment utilization rate; Labor productivity: The average amount of goods handled by employees per hour. The sum of the average amount of goods handled by all employees per hour and the sum of the sum of the sum of all employees is used to measure the labor productivity. Energy efficiency: the ratio of energy used in warehouse operations to the amount of work done; Order processing cycle: the average time required to process each order; Then, after normalizing the obtained inventory turnover rate, space utilization rate, profit value, total production value, energy efficiency and order processing cycle, the bottom circle is established with the product of inventory turnover rate, space utilization rate and energy efficiency as the bottom circle radius, and the sum of profit value and total production value is established as the height. The apex of the cone model is used as the center of the sphere, and the order processing cycle multiplied by the impact factor is used as the radius to establish a spherical model. The cone model is cut off with the spherical model as the cutting standard, and the surface area of ​​the remaining special-shaped model is calculated and recorded as the profit value. The profit value is used as the standard for measuring the utilization rate of warehouse resources. The layout optimization module is used to continuously optimize the preliminary designed warehouse layout. The specific steps are as follows: After receiving the optimization signal transmitted by the evaluation module, the warehouse performance value of the preliminary designed warehouse area layout operation performance is analyzed and evaluated first, and the insufficient index of the warehouse performance value calculated by the service level, operation cost and resource utilization index is identified; Then collect feedback from employees, managers and customers on the preliminary designed warehouse layout, and collect usage data of the preliminary designed warehouse layout; Then use simulation software to simulate the current warehouse operation process, identify bottlenecks and inefficient links through simulation results, and identify specific problems that affect warehouse performance based on simulation results and collected data; Based on the identification of the problem, several optimization solutions are generated, and each optimization solution is evaluated to obtain the case evaluation value of each optimization solution. The specific process is as follows: Firstly, the cost-benefit analysis, resource requirements and potential risks of each optimization plan are comprehensively analyzed to obtain the benefit value, resource requirement value and risk value respectively; Then the obtained benefit value, capital demand value and risk value are normalized and the case evaluation value is obtained by multiplying the benefit value by the correction factor and dividing it by the product of the capital demand value and the risk value, and the case evaluation value is used as the evaluation standard for measuring the optimization plan; The specific steps for cost-benefit analysis, resource requirements and potential risk analysis of the optimization plan are as follows: The cost-benefit analysis includes statistics on the initial investment cost, operating cost, labor cost, cost savings, return on investment and net present value of the optimization plan. The sum of the initial investment cost, operating cost and labor cost is calculated and recorded as the input value. The cost savings is the cost expected to be reduced by implementing this optimization plan. The return on investment is the ratio of the total benefits brought by implementing this optimization plan to the total cost; the net present value is the sum of the present values ​​of the future cash flows of the optimization plan taking into account the time value; Then, the obtained input value, cost saving, return on investment and net present value are normalized and calibrated as tr, jc, th and jx respectively, and substituted into the following formula: To obtain the benefit value TXZ, and use this benefit value TXZ as the cost-benefit analysis standard for measuring the optimization plan; Resource requirements include: Space requirement: the specific increase in warehouse space required by the optimization plan; Equipment requirements: the amount of equipment required to be purchased or leased; Human Resources: Number of staff needed, skill levels and training needs, rated on a scale of 1-10; Technical requirements: the percentage of technical support and system upgrade difficulty level required to implement the optimization plan, and sum them up; Time resources: the time required to design, implement and produce results of the program; Then, the above requirements are normalized and multiplied by the corresponding preset weight coefficients and summed to obtain the resource demand value, and this resource demand value is used as the resource demand measurement standard for measuring the optimization plan; Potential risks include: Technical risks: possible technical defects and compatibility issues of new systems or equipment in the optimization plan; Market risk: the impact that market changes may have on the effectiveness of the optimization plan; Operational risks: operational errors or delays that may result from new processes or systems; Financial risks: financial problems such as exceeding budget and lower-than-expected return on investment; Compliance risk: whether the plan complies with relevant laws, regulations and industry standards; Supply chain risks: risks that may arise from supplier reliability and supply chain stability; Assign risk scores of 1-100 to the above different risks. The higher the risk score, the greater the corresponding risk. The risk scores corresponding to all risks are normalized and summed up to obtain the risk value, which is used as the standard for measuring the potential risk of the optimization plan. Then, the case evaluation values ​​obtained by analyzing all the optimization solutions formed by the identified single problem are sorted by size, and the optimization solution with the largest case evaluation value is marked as the optimization solution required to be executed for the problem; Then, formulate a specific implementation plan based on the optimization solutions required for the marked problems, including timetable, responsibility allocation and resource allocation. At the same time, adjust resource configuration based on the optimization solutions required for the marked problems, including reallocating storage space and adjusting equipment layout.

2. The intelligent logistics warehousing management system based on the Internet of Things according to claim 1 is characterized in that: The specific steps of analyzing the service balance value in the evaluation module are as follows: Service level is analyzed through comprehensive analysis of order fulfillment time, order accuracy, inventory availability, on-time delivery rate, cargo damage rate and customer satisfaction in service level; Among them, inventory availability refers to the availability of inventory when a customer needs a certain item, and is quantified by the number of times the inventory cannot meet the user's needs, recorded as no full value; Customer satisfaction is obtained through surveys or feedback mechanisms. The average of all customer scores is calculated to obtain the mean rating, which is used as the standard for measuring customer satisfaction surveys. Then, the obtained order fulfillment time, order accuracy, no full value, cargo damage rate and average evaluation value are normalized and calibrated as lt, dz, wm, hs and jp respectively, and substituted into the following formula: To obtain the service average value DSP, and use this service average value DSP as the standard to measure service level.

3. The intelligent logistics warehousing management system based on the Internet of Things according to claim 1 is characterized in that: The specific operation steps of the evaluation value analysis in the evaluation module are as follows: The cost assessment is a comprehensive analysis of all costs incurred by the warehouse in performing its functions, including: Human resource costs: wages, benefits and related human resource expenses, and calculate the total amount; Equipment cost: the sum of equipment costs for purchase, lease, maintenance and depreciation; Space cost: the sum of rent, maintenance and other costs associated with warehouse space; Transportation costs: the cost of transporting goods in and out of the warehouse; Administrative costs: Expenses for warehouse management activities, including the cost of using software and tools; Loss costs: costs caused by damage and expiration of goods; Then calculate the difference between all the above costs and the preset corresponding cost values, sum up all the costs exceeding the standard to get the cost evaluation value, and use this cost evaluation value as the abnormal standard for measuring the warehouse operation cost.

Images