Material fund management control system

Abstract

The invention, which relates to the technical field of material management, discloses a material fund management control system comprising the following components: an environmental benefit evaluation module, an intelligent sorting and fund distribution module, a dynamic adjustment and feedback module, a partner management module and a transparent management interface module. According to the invention, through integration of the environmental benefit evaluation module and the intelligent sorting and fund distribution module, accurate quantitative evaluation of the green degree of materials, intelligent sorting of purchase plans and automatic fund distribution are realized, so that the green material identification capability of enterprises is improved; and multiple factors such as cost-benefit ratio, supply stability, technical feasibility, market trend and the like are comprehensively considered through an intelligent algorithm, so that fund distribution is more scientific and reasonable, the green purchasing efficiency of enterprises is improved, effective utilization of funds is ensured, and a solid foundation is laid for sustainable development of the enterprises.

Description

Technical Field

[0001] The invention relates to the technical field of fund management, in particular to a material fund management control system. Background Art

[0002] Against the backdrop of rapid global economic development, environmental issues have become increasingly prominent, and sustainable development has become a global consensus. As an important subject of economic activities, enterprises cannot ignore the impact of their production and operation activities on the environment. Especially in the field of material procurement and management, traditional practices often focus on economic benefits while ignoring the environmental benefits of materials. With the increasing awareness of environmental protection in society, green materials have gradually become an important direction for enterprise transformation and upgrading due to their environmental protection characteristics such as low energy consumption, low emissions, and recyclability. However, in actual operations, enterprises are faced with challenges such as how to effectively identify green materials, how to ensure that green materials take priority in procurement, and how to dynamically adjust procurement strategies to adapt to market changes.

[0003] When designing, the traditional fund allocation system mainly focuses on cost control and maximizing economic benefits. It lacks intelligent identification of green materials, which makes it difficult for enterprises to effectively focus on green materials during the procurement process. Secondly, the traditional system lacks a priority allocation mechanism for green materials. When funds are limited, enterprises often need to allocate funds based on factors such as material cost and supply stability. However, green materials are often difficult to obtain priority in fund allocation due to factors such as high cost or unstable supply, which limits the widespread application of green materials in enterprises. In addition, the traditional fund allocation system lacks a dynamic adjustment and feedback mechanism. The constant changes in market environment, policy orientation, and corporate strategic goals require that the fund allocation plan can be flexibly adjusted to adapt to new situations. However, traditional systems often lack this flexibility, resulting in the fund allocation plan lagging behind market changes and failing to meet the actual needs of enterprises.

[0004] In view of the above situation, it is necessary to optimize the existing material fund management and control system, through intelligent identification of green materials, priority and funding allocation according to the greenness score of the materials and other relevant factors, and at the same time have dynamic adjustment capabilities to respond to market changes and policy orientations. Therefore, it is of great significance to develop a material fund management and control system that can comprehensively realize the above characteristics. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide a material fund management and control system that can intelligently identify green materials, prioritize and allocate funds according to the green scores of the materials and other relevant factors, and also needs to have dynamic adjustment capabilities to cope with market changes and policy orientations. In addition, in order to promote the coordinated development of the green supply chain, the system should also include incentive mechanisms and partner management functions to encourage suppliers to provide more green materials and build a multi-party partner ecosystem.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a material fund management and control system, which includes the following components: an environmental benefit assessment module, an intelligent sorting and fund allocation module, a dynamic adjustment and feedback module, a partner management module and a transparent management interface module;

[0007] The environmental benefit assessment module collects and analyzes material life cycle data, including resource consumption, greenhouse gas emissions, waste generation, and recycling potential, thereby calculating the greenness score of the material;

[0008] The intelligent sorting and fund allocation module intelligently sorts the material procurement plan and automatically allocates funds based on the results of the environmental benefit assessment module, combined with cost-effectiveness ratio, supply stability, technical feasibility and market trend factors;

[0009] The dynamic adjustment and feedback module monitors market changes, policy orientations and corporate strategic goals in real time, dynamically adjusts the funding allocation plan, and collects the actual effects of green material applications, market feedback and new technology progress information to optimize the funding allocation strategy;

[0010] The partner management module builds and maintains a partner ecosystem that includes suppliers, customers, scientific research institutions and governments;

[0011] The transparent management interface module provides a management interface to display the environmental contribution, economic benefits and social benefits of green materials, and realizes visual management of data and decision support.

[0012] Furthermore, the environmental benefit assessment module determines the types and scope of materials that need to be assessed and collects data on the material life cycle, including data on the entire process from raw material acquisition, production, use to waste disposal, cleans, organizes and standardizes the collected data, applies the environmental benefit quantitative assessment model, calculates the green score of the material, and outputs the assessment results in the form of a report or data table.

[0013] Furthermore, the environmental benefit assessment module applies an environmental benefit quantitative assessment model to calculate the greenness score of the material, and the algorithm formula of the model is: Among them, R r is the resource consumption efficiency factor, which reflects the efficiency of resource use in the production process. e is the greenhouse gas emission efficiency factor, which reflects the greenhouse gas emission efficiency in the material production process. w is the waste generation efficiency factor, which reflects the waste generation in the material production process. rec It is the recycling potential factor, which reflects the difficulty and value of recycling the material after use. i is the emission of the ith greenhouse gas, n is the number of greenhouse gases considered, W j is the amount of waste generated by the jth type, m is the number of waste types considered, and a is the adjustment factor used to adjust the weights of greenhouse gas emissions and waste generation relative to resource consumption and recycling potential.

[0014] Furthermore, the intelligent sorting and fund allocation module receives the green score and other relevant material information output by the environmental benefit assessment module, including cost and supply stability, and sorts the material procurement plan by comprehensively considering the green score, cost-effectiveness ratio, supply stability, technical feasibility and market trend factors. According to the sorting results, the module automatically allocates funds to each material procurement project and generates a fund allocation plan.

[0015] Furthermore, the specific steps of the intelligent sorting and fund allocation module to sort the material procurement plan are:

[0016] (1) Based on the results of the environmental benefit assessment, the cost and expected benefit factors of the material are considered, economic indicators are defined, and the supply channels and supplier reliability of the material are evaluated. At the same time, the applicability and feasibility of the material under existing technical conditions are evaluated. In addition, the market demand changes and price trends of the material are analyzed;

[0017] (2) According to the characteristics and requirements of the ranking indicators, select an algorithm to handle the multi-objective ranking problem, set reasonable weights for each ranking indicator according to the strategic goals and actual needs of the enterprise, combine each ranking indicator and weight, and construct a comprehensive evaluation function;

[0018] (3) Input the prepared data into the intelligent sorting model. The model calculates the comprehensive evaluation score of each material procurement plan based on the input data and the set weights, sorts them according to the scores, and outputs the sorting results in the form of a report or data table;

[0019] (4) Based on the results of intelligent sorting, combined with the company's financial situation and procurement plan, formulate a funding allocation plan.

[0020] Furthermore, the intelligent sorting and fund allocation module selects an algorithm to handle the multi-objective sorting problem according to the characteristics and requirements of the sorting indicators, and its calculation formula is: Z=w1×GS+w2×C+w3×HS+w4×JS+w5×QS, wherein Z is the comprehensive score, GS is the greenness score, C is the cost-effectiveness score, HS is the supply stability score, JS is the technical feasibility score, QS is the market trend score, w1, w2, w3, w4, w5 are the weights of each factor, and satisfy w1+w2+w3×+w4×+w5=1.

[0021] Furthermore, the specific steps of the intelligent sorting and fund allocation module to formulate a fund allocation plan are:

[0022] (1) Based on the ranking results of the intelligent ranking module, funds are allocated to the top-ranked procurement plans first, taking into account the risks and expected returns of different procurement plans, and reasonably allocating funds to balance risks and returns;

[0023] (2) Submit the fund allocation plan to relevant departments or senior management for approval, and adjust and optimize the fund allocation plan based on the approval opinions and market changes;

[0024] (3) Implement the procurement plan in accordance with the approved funding allocation plan and monitor the implementation of the procurement plan in real time;

[0025] (4) Regularly evaluate the effectiveness of the implementation of the funding allocation plan, including the efficiency of fund utilization and the completion of the procurement plan.

[0026] Furthermore, the dynamic adjustment and feedback module monitors market changes, policy orientations and changes in corporate strategic goals in real time, and analyzes the impact of the changes on the funding allocation plan, including potential impacts on cost, supply stability and greenness. Based on the evaluation results, the weights of various parameters in the funding allocation plan are dynamically adjusted. Through internal surveys, supplier feedback and market research, the actual effects of green material applications, market feedback and new technological progress information are collected, and the funding allocation strategy is optimized based on the collected feedback information.

[0027] Furthermore, the dynamic adjustment and feedback module dynamically adjusts the weights of various parameters in the fund allocation plan through an algorithm, and the algorithm formula is: Among them, w i (t) represents the weight of the i-th parameter at time t, a i is the sensitivity coefficient of the i-th parameter, which is used to control the weight of the parameter along with its evaluation function f i (t) sensitivity to change, f i (t) is the evaluation function of the i-th parameter at time t, n is the total number of parameters, and fj (t) is the evaluation function of the jth parameter at time t.

[0028] Furthermore, the partner management module designs incentives based on the supplier's performance and market environment, including price concessions and priority cooperation rights for joint R&D support, while seeking out and recruiting partners with green material supply capabilities, expanding the green material supply chain, and communicating with partners regularly to understand their needs and problems, while evaluating the performance of partners, including the quality, quantity and timeliness of green material supply.

[0029] Compared with the prior art, this material fund management and control system has the following beneficial effects:

[0030] 1. The present invention realizes accurate quantitative evaluation of the greenness of materials, intelligent sorting of procurement plans and automatic allocation of funds by integrating an environmental benefit assessment module and an intelligent sorting and fund allocation module. It not only improves the ability of enterprises to identify green materials, but also comprehensively considers multiple factors such as cost-effectiveness, supply stability, technical feasibility and market trends through intelligent algorithms, making fund allocation more scientific and reasonable, which not only improves the green procurement efficiency of enterprises, but also ensures the effective use of funds, laying a solid foundation for the sustainable development of enterprises.

[0031] 2. The present invention monitors market changes, policy orientations and changes in corporate strategic goals in real time, and dynamically adjusts the funding allocation plan. This highly flexible and adaptive mechanism enables companies to quickly respond to changes in the external environment, adjust procurement strategies, reduce risks, and ensure the long-term stable development of the company. At the same time, by collecting information such as the actual effects of green material applications, market feedback, and new technological advances, the funding allocation strategy is continuously optimized, further enhancing the company's market competitiveness and innovation capabilities.

[0032] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 It is a process operation diagram of a material capital management control system;

[0035] Figure 2 It is a flow chart of the intelligent sorting and fund allocation module of a material fund management control system;

[0036] Figure 3 The present invention is a flow chart of a dynamic adjustment and feedback module of a material capital management control system. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. 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.

[0038] Embodiment 1

[0039] This embodiment describes in detail the implementation process of a material fund management and control system.

[0040] The environmental benefit assessment module collects the full life cycle data of the new green building materials to be purchased through the company's assigned professional team or external consulting agencies. These data include data from the entire process of raw material acquisition, production and processing, transportation, use stage to waste disposal, specifically covering resource consumption (such as water, electricity, raw materials, etc.), greenhouse gas emissions, waste generation, and recycling and reuse potential, etc. The collected data must be cleaned, sorted and standardized to ensure the accuracy and comparability of the data. The environmental benefit quantitative assessment model is applied to calculate the green score of each material based on the collected data. The assessment model considers multiple dimensions such as resource consumption efficiency, greenhouse gas emission efficiency, waste generation efficiency and recycling and reuse potential, and calculates the comprehensive green score through a preset algorithm formula. The assessment results are output in the form of a report or data table for use by the subsequent intelligent sorting and funding allocation modules. The algorithm formula of the model is: Among them, R r is the resource consumption efficiency factor, which reflects the efficiency of resource use in the production process. e is the greenhouse gas emission efficiency factor, which reflects the greenhouse gas emission efficiency in the material production process. w is the waste generation efficiency factor, which reflects the waste generation in the material production process. rec It is the recycling potential factor, which reflects the difficulty and value of recycling the material after use. i is the emission of the ith greenhouse gas, n is the number of greenhouse gases considered, W jis the amount of waste generated by the jth type, m is the number of waste types considered, and a is the adjustment factor used to adjust the weights of greenhouse gas emissions and waste generation relative to resource consumption and recycling potential.

[0041] The intelligent sorting and funding allocation module receives the greenness score output by the environmental benefit assessment module, and combines additional information such as material cost, supply stability, technical feasibility and market trends, comprehensively considers the greenness score, cost-effectiveness ratio, supply stability, technical feasibility and market trends, and uses a multi-objective sorting algorithm to sort the materials. During the sorting process, reasonable weights can be set for each factor to reflect the company's emphasis on different factors. Based on the sorting results, funds are automatically allocated to each material procurement project. The funding allocation plan should take into account the priorities of different projects, funding needs and the company's overall financial situation to ensure the rationality and efficiency of fund use. The funding allocation plan will be submitted to relevant departments or senior management for approval. During the approval process, the plan may be fine-tuned according to the company's strategic goals and market changes.

[0042] The dynamic adjustment and feedback module monitors changes in the building materials market, policy orientations, and corporate strategic goals in real time, evaluates the impact of these changes on the funding allocation plan, and dynamically adjusts the weights of various parameters in the funding allocation plan based on market changes and policy orientations. For example, if the government introduces more stringent environmental protection policies, the weight of the green score may be increased. The application effects of new green building materials in actual projects, market feedback, and new technological progress information are collected. This information is obtained through internal surveys, supplier feedback, customer feedback, market research, and other channels. Based on the feedback information collected, the funding allocation strategy is optimized to better adapt to market changes and corporate needs.

[0043] The partner management module evaluates the green material supply capabilities of suppliers based on their performance and market environment, and recruits new green material suppliers. The evaluation content includes supply quality, quantity, timeliness, environmental certification and other aspects. Incentives are designed for suppliers with outstanding performance, such as price discounts, priority cooperation rights, joint R&D support, etc., to promote their green material supply capabilities. The module communicates with suppliers regularly to understand their needs and problems, and evaluates their performance. The evaluation results serve as an important basis for supplier management and are used to adjust cooperation strategies and optimize the supply chain.

[0044] The transparent management interface module provides a user management interface to display the environmental contribution, economic benefits and social benefits of green building material procurement projects. It realizes data visualization management and decision support through charts, reports and other forms. At the same time, the management can use the transparent management interface module to understand the progress and results of procurement projects in real time, providing more comprehensive and accurate information support for decision-making.

[0045] In summary, this embodiment realizes the accurate quantitative evaluation of the greenness of materials and the intelligent sorting and automatic allocation of funds for procurement plans by integrating the environmental benefit evaluation module and the intelligent sorting and fund allocation module. It not only improves the ability of enterprises to identify green materials, but also comprehensively considers multiple factors such as cost-effectiveness, supply stability, technical feasibility and market trends through intelligent algorithms, making fund allocation more scientific and reasonable, which not only improves the green procurement efficiency of enterprises, but also ensures the effective use of funds, laying a solid foundation for the sustainable development of enterprises.

[0046] Embodiment 2

[0047] Based on the first embodiment, this embodiment describes in detail the implementation process of the intelligent sorting and fund allocation module of a material fund management and control system.

[0048] The intelligent sorting and funding allocation module receives the greenness score output by the environmental benefit assessment module, and combines additional information such as the cost, supply stability, technical feasibility and market trend of the material, comprehensively considers the greenness score, cost-effectiveness ratio, supply stability, technical feasibility and market trend, and uses a multi-objective sorting algorithm to sort the materials. The specific steps of the sorting are:

[0049] (1) Based on the results of the environmental benefit assessment, the cost and expected benefit factors of the material are considered, economic indicators are defined, and the supply channels and supplier reliability of the material are evaluated. At the same time, the applicability and feasibility of the material under existing technical conditions are evaluated. In addition, the market demand changes and price trends of the material are analyzed;

[0050] (2) According to the characteristics and requirements of the ranking indicators, select an algorithm to handle the multi-objective ranking problem, set reasonable weights for each ranking indicator according to the strategic goals and actual needs of the enterprise, combine each ranking indicator and weight, and construct a comprehensive evaluation function;

[0051] (3) Input the prepared data into the intelligent sorting model. The model calculates the comprehensive evaluation score of each material procurement plan based on the input data and the set weights, sorts them according to the scores, and outputs the sorting results in the form of a report or data table;

[0052] (4) Based on the results of intelligent sorting, combined with the company's financial situation and procurement plan, formulate a funding allocation plan.

[0053] During the sorting process, according to the characteristics and requirements of the sorting indicators, an algorithm is selected to deal with the multi-objective sorting problem. The calculation formula is: Z = w1×GS+w2×C+w3×HS+w4×JS+w5×QS, where Z is the comprehensive score, GS is the greenness score, C is the cost-effectiveness score, HS is the supply stability score, JS is the technical feasibility score, QS is the market trend score, w1, w2, w3, w4, w5 are the weights of each factor, and satisfy w1+w2+w3×+w4×+w5=1.

[0054] According to the sorting results, funds are automatically allocated to each material procurement project and a fund allocation plan is generated. The specific steps for formulating a fund allocation plan are as follows:

[0055] (1) Based on the ranking results of the intelligent ranking module, funds are allocated to the top-ranked procurement plans first, taking into account the risks and expected returns of different procurement plans, and reasonably allocating funds to balance risks and returns;

[0056] (2) Submit the fund allocation plan to relevant departments or senior management for approval, and adjust and optimize the fund allocation plan based on the approval opinions and market changes;

[0057] (3) Implement the procurement plan in accordance with the approved funding allocation plan and monitor the implementation of the procurement plan in real time;

[0058] (4) Regularly evaluate the effectiveness of the implementation of the funding allocation plan, including the efficiency of fund utilization and the completion of the procurement plan.

[0059] The funding allocation plan should take into account the priorities of different projects, funding needs and the company's overall financial situation to ensure the rationality and efficiency of fund use. The funding allocation plan should be submitted to relevant departments or senior management for approval. During the approval process, the plan may be fine-tuned based on the company's strategic goals and market changes.

[0060] At the same time, the dynamic adjustment and feedback module dynamically adjusts the weights of various parameters in the fund allocation plan through an algorithm. The algorithm formula is: Among them, w i (t) represents the weight of the i-th parameter at time t, a i is the sensitivity coefficient of the i-th parameter, which is used to control the weight of the parameter along with its evaluation function f i (t) sensitivity to change, f i (t) is the evaluation function of the i-th parameter at time t, n is the total number of parameters, and f j (t) is the evaluation function of the jth parameter at time t.

[0061] To sum up, this embodiment monitors market changes, policy orientations and changes in corporate strategic goals in real time, and dynamically adjusts the funding allocation plan. This highly flexible and adaptive mechanism enables the company to quickly respond to changes in the external environment, adjust procurement strategies, reduce risks, and ensure the long-term stable development of the company. At the same time, by collecting information such as the actual effects of green material applications, market feedback, and new technological advances, the funding allocation strategy is continuously optimized, further enhancing the company's market competitiveness and innovation capabilities.

[0062] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A material fund management control system, characterized in that: The system includes the following components: environmental benefit assessment module, intelligent sorting and fund allocation module, dynamic adjustment and feedback module, partner management module and transparent management interface module; The environmental benefit assessment module collects and analyzes material life cycle data, including resource consumption, greenhouse gas emissions, waste generation, and recycling potential, thereby calculating the greenness score of the material; The intelligent sorting and fund allocation module intelligently sorts the material procurement plan and automatically allocates funds based on the results of the environmental benefit assessment module, combined with cost-effectiveness ratio, supply stability, technical feasibility and market trend factors; The dynamic adjustment and feedback module monitors market changes, policy orientations and corporate strategic goals in real time, dynamically adjusts the funding allocation plan, and collects the actual effects of green material applications, market feedback and new technology progress information to optimize the funding allocation strategy; The partner management module builds and maintains a partner ecosystem that includes suppliers, customers, scientific research institutions and governments; The transparent management interface module provides a management interface to display the environmental contribution, economic benefits and social benefits of green materials, and realizes visual management of data and decision support.

2. A material fund management control system according to claim 1, characterized in that: The environmental benefit assessment module determines the types and scope of materials that need to be assessed and collects data on the material life cycle, including data on the entire process from raw material acquisition, production, use to waste disposal, cleans, organizes and standardizes the collected data, applies an environmental benefit quantitative assessment model, calculates the green score of the material, and outputs the assessment results in the form of a report or data table.

3. A material fund management control system according to claim 2, characterized in that: The environmental benefit assessment module applies the environmental benefit quantitative assessment model to calculate the green score of the material. The algorithm formula of the model is: Among them, R r is the resource consumption efficiency factor, which reflects the efficiency of resource use in the production process. e is the greenhouse gas emission efficiency factor, which reflects the greenhouse gas emission efficiency in the material production process. w is the waste generation efficiency factor, which reflects the waste generation in the material production process. rec It is the recycling potential factor, which reflects the difficulty and value of recycling the material after use. i is the emission of the ith greenhouse gas, n is the number of greenhouse gases considered, W j is the amount of waste generated by the jth type, m is the number of waste types considered, and a is the adjustment factor used to adjust the weights of greenhouse gas emissions and waste generation relative to resource consumption and recycling potential.

4. A material fund management control system according to claim 1, characterized in that: The intelligent sorting and fund allocation module receives the greenness score and other relevant material information output by the environmental benefit assessment module, including cost and supply stability, and sorts the material procurement plan by comprehensively considering the greenness score, cost-effectiveness ratio, supply stability, technical feasibility and market trend factors. According to the sorting results, the module automatically allocates funds to each material procurement project and generates a fund allocation plan.

5. A material fund management control system according to claim 4, characterized in that: The specific steps of the intelligent sorting and fund allocation module to sort the material procurement plan are as follows: (1) Based on the results of the environmental benefit assessment, the cost and expected benefit factors of the material are considered, economic indicators are defined, and the supply channels and supplier reliability of the material are evaluated. At the same time, the applicability and feasibility of the material under existing technical conditions are evaluated. In addition, the market demand changes and price trends of the material are analyzed; (2) According to the characteristics and requirements of the ranking indicators, select an algorithm to handle the multi-objective ranking problem, set reasonable weights for each ranking indicator according to the strategic goals and actual needs of the enterprise, combine each ranking indicator and weight, and construct a comprehensive evaluation function; (3) Input the prepared data into the intelligent sorting model. The model calculates the comprehensive evaluation score of each material procurement plan based on the input data and the set weights, sorts them according to the scores, and outputs the sorting results in the form of a report or data table; (4) Based on the results of intelligent sorting, combined with the company's financial situation and procurement plan, formulate a funding allocation plan.

6. A material fund management control system according to claim 5, characterized in that: The intelligent sorting and fund allocation module selects an algorithm to handle the multi-objective sorting problem according to the characteristics and requirements of the sorting indicators, and its calculation formula is: Z=w1×GS+w2×C+w3×HS+w4×JS+w5×QS, wherein Z is the comprehensive score, GS is the greenness score, C is the cost-effectiveness score, HS is the supply stability score, JS is the technical feasibility score, QS is the market trend score, w1, w2, w3, w4, w5 are the weights of each factor, and satisfy w1+w2+w3×+w4×+w5=1.

7. A material fund management control system according to claim 4, characterized in that: The specific steps for the intelligent sorting and fund allocation module to formulate a fund allocation plan are: (1) Based on the ranking results of the intelligent ranking module, funds are allocated to the top-ranked procurement plans first, taking into account the risks and expected returns of different procurement plans, and reasonably allocating funds to balance risks and returns; (2) Submit the fund allocation plan to relevant departments or senior management for approval, and adjust and optimize the fund allocation plan based on approval opinions and market changes; (3) Implement the procurement plan in accordance with the approved funding allocation plan and conduct real-time monitoring of the implementation of the procurement plan; (4) Regularly evaluate the implementation of the funding allocation plan, including the efficiency of fund utilization and the completion of the procurement plan.

8. A material fund management control system according to claim 1, characterized in that: The dynamic adjustment and feedback module monitors market changes, policy orientations and changes in corporate strategic goals in real time, and analyzes the impact of the changes on the funding allocation plan, including potential impacts on cost, supply stability and greenness. Based on the evaluation results, the weights of various parameters in the funding allocation plan are dynamically adjusted. Through internal surveys, supplier feedback and market research, the actual effects of green material applications, market feedback and new technological progress information are collected, and the funding allocation strategy is optimized based on the collected feedback information.

9. A material fund management control system according to claim 8, characterized in that: The dynamic adjustment and feedback module dynamically adjusts the weights of various parameters in the fund allocation plan through an algorithm, and the algorithm formula is: Among them, w i (t) represents the weight of the i-th parameter at time t, a i is the sensitivity coefficient of the i-th parameter, which is used to control the weight of the parameter along with its evaluation function f i (t) sensitivity to change, f i (t) is the evaluation function of the i-th parameter at time t, n is the total number of parameters, and f j (t) is the evaluation function of the jth parameter at time t.

10. A material fund management control system according to claim 1, characterized in that: The partner management module designs incentives based on the supplier's performance and market environment, including price concessions and priority cooperation rights for joint R&D support. It also seeks out and recruits partners with green material supply capabilities, expands the green material supply chain, and communicates with partners regularly to understand their needs and problems. It also evaluates the performance of partners, including the quality, quantity and timeliness of green material supply.

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