An industrial automation production supply chain management system
By designing an industrial automated production supply chain management system, inventory forecasting and production efficiency problems caused by information delay in supply chain management are solved, and more accurate market demand forecasting and inventory management are achieved, avoiding production vacuum periods and cost increase.
Patent Information
- Application Number
- CN202410421465.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-09
- Publication Date
- 2025-02-07
- Estimated Expiration
- 2044-04-09
AI Technical Summary
The existing technology has information delays in supply chain management, resulting in poor inventory forecasting accuracy and inability to accurately arrange the supply chain, resulting in mismatch in production efficiency, resulting in increased inventory costs and production vacuum period.
Design an industrial automation production supply chain management system, including data acquisition module, production management module and procurement management module, and optimize supply chain production relations and procurement plans through order analysis, market analysis and demand forecasting to ensure inventory management and production efficiency. match.
It improves the accuracy of market demand forecasts, optimizes inventory management, avoids production vacuum periods and inventory unsalable stocks, reduces costs, and improves the overall production efficiency of the supply chain.
Smart Images

Figure CN118521242B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of supply chain management, and in particular to an industrial automation production supply chain management system. Background Art
[0002] At present, with the rapid development of Internet technology in my country, most enterprises in my country are gradually transforming to digitalization. Supply chain is an important component of digital transformation. By establishing a digital supply chain, the efficiency and management level of the supply chain can be comprehensively improved. However, due to information delays in the supply chain, the system cannot receive market changes in a timely manner, resulting in a certain lag in the inventory quantity estimated by the enterprise, resulting in poor accuracy of demand forecasting, and unable to guarantee that inventory products will not be unsalable, which increases product inventory costs. Moreover, when the number of orders increases sharply, the existing technology cannot accurately arrange the supply chain, resulting in a mismatch in production efficiency between upstream and downstream enterprises, resulting in a production vacuum period for downstream enterprises, wasting a lot of rental costs and human resources, and when producing ordered goods, the existing technology cannot accurately arrange the processing sequence, resulting in the inability to deliver orders on time. Therefore, it is very necessary to design an industrial automation production supply chain management system that improves accuracy and production efficiency. Summary of the invention
[0003] The purpose of the present invention is to provide an industrial automation production supply chain management system to solve the problems raised in the above background technology.
[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an industrial automation production supply chain management system, comprising a data acquisition module, a production management module and a procurement management module, characterized in that: the data acquisition module is used to collect the order data, product comprehensive data and market sales comprehensive data of the enterprise, the production management module is used to manage the product inventory of the enterprise and the supply relationship of the supply chain, the procurement management module is used to formulate a procurement plan according to the order quantity and the predicted market demand information, and the data acquisition module, the production management module and the procurement management module are connected to each other in communication;
[0005] The inventory management module includes an order analysis submodule, a market analysis submodule and a demand forecasting submodule. The order analysis submodule is used to analyze the consumer market of the product according to the order address. The market analysis submodule is used to analyze the product consumption cycle in the market and analyze the market saturation. The demand forecasting submodule is used to forecast the demand for the product in the market.
[0006] The supply chain management module includes an energy efficiency analysis submodule, an order scheduling submodule and a production adjustment submodule. The energy efficiency analysis submodule is used to analyze the production efficiency of each link in the supply chain. The order scheduling submodule is used to determine whether an order can be received and schedule the production sequence. The production adjustment submodule is used to adjust the production relationship between each link in the supply chain according to the production process of the product.
[0007] According to the above technical solution, the data acquisition module includes an order collection module, a product comprehensive information entry module and a market comprehensive data collection module. The order collection module is used to collect the address data of the customer ordering the product, the product comprehensive information entry module is used to enter the comprehensive information data of the product into the system, and the market comprehensive data collection module is used to collect the historical sales data of the product in the market, the consumption cycle of the product in the market and the total quantity of the product in the market.
[0008] According to the above technical solution, the production management module includes a market model training module, and the market model training module is used to train a market situation model based on comprehensive market data.
[0009] According to the above technical solution, the production management module also includes an inventory management module and a supply chain management module. The inventory management module is used to predict product demand based on order data and market conditions, and the supply chain management module is used to adjust and schedule production orders based on the production efficiency of each enterprise.
[0010] According to the above technical solution, the procurement management module includes an order management module and a procurement plan formulation module. The order management module is used to determine whether the current inventory can complete the order, and the procurement plan formulation module is used to formulate a procurement plan for raw materials.
[0011] According to the above technical solution, the operation method of the supply chain management system mainly includes the following steps:
[0012] Step S1: Through the order collection module, the delivery addresses of all batch orders of the enterprise are collected according to the product codes; through the product comprehensive information entry module, the production process and loss cycle of the product are entered into the system; through the market comprehensive data collection module, the sales situation of the product in the market and the circulation volume of the product in the market are collected;
[0013] Step S2: After data collection is completed, the system starts the inventory management module, starts analyzing order data and market data, and predicts the product demand in the current market based on the analysis results;
[0014] Step S3: When the supply chain starts processing products, the system sends an electrical signal to trigger the supply chain management module to start, start analyzing the production efficiency of each link in the supply chain, and adjust the production relationship of the supply chain according to the analysis results;
[0015] Step S4: When the inventory forecast is completed, the procurement management module is started to analyze the relationship between the order quantity and the inventory quantity and formulate a procurement plan.
[0016] According to the above technical solution, step S2 further includes the following steps:
[0017] Step S21: retrieve comprehensive market data, pre-process the data, scan and identify the sales data of the product in the market, use the sales data of the product in the market as sample data to train the market saturation model, retrieve comprehensive product data, identify the consumption cycle data of the product, and use the consumption cycle data of the product as sample data to train the consumption model of the product;
[0018] Step S22: retrieve the product order batch of the distributor, identify the code of the product in the order batch, retrieve the delivery address of the order according to the product code, classify the delivery address according to the region to which the delivery address belongs, identify the number m of products in all order batches in the current region, retrieve the database according to the product quantity to obtain the influence coefficient α of the product quantity on the market saturation of the current region, retrieve the comprehensive information of the product, identify the consumption cycle of the product, and retrieve the database according to the consumption cycle to obtain the product loss rate β corresponding to the product consumption cycle;
[0019] Step S23: retrieve the distributor's ordering cycle, retrieve the quantity of products in the order batch according to the distributor's ordering cycle, give the influence coefficient T of the distributor's ordering cycle on inventory, and calculate the market saturation of the current region through the formula Wherein, P represents the market saturation of the current belonging area, m represents the total number of products in the current belonging area, M represents the potential market of products in the current area, η represents the error coefficient of the potential market of products in the current area, if the market saturation is greater than the second threshold, the inventory of the current belonging area is not retained, if the market saturation is greater than the first threshold and less than the second threshold, a fixed product inventory is retained, if the market saturation is less than the first threshold, the quantity of inventory required in the current belonging area and the total quantity of product inventory retained by the enterprise are calculated by the formula:
[0020]
[0021] In the formula, S represents the quantity of product inventory retained in the current region, T represents the influence coefficient of the seller's order cycle on inventory, and Q represents the company's fixed inventory holding quantity.
[0022] According to the above technical solution, step S3 further includes the following steps:
[0023] Step S31: retrieve the product production efficiency of each enterprise in the processing link of the supply chain. When the production efficiency of the enterprise in the second processing link is greater than the production efficiency of the first processing link, adjust the supply chain according to the difference in production efficiency between the two processing links. When the difference in production efficiency between the two processing links is less than a first threshold, the supply chain continues to work. When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, determine whether to adjust the supply chain production relationship according to the production efficiency of the processing link. When the difference in production efficiency between the two processing links is greater than the second threshold, alternate the second processing link with the first processing link in the supply chain.
[0024] Step S32: When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, retrieve the comprehensive product information data, identify the product process flow according to the processed product code, and if the product process flow is reversible, that is, the processing order can be disrupted, then the second processing link and the first processing link are alternated in the supply chain. Otherwise, identify the production efficiency ν1 of the second processing link enterprise and the production efficiency ν2 of the first processing link, and calculate the difference in the processing quantity of the two processing links through the formula In the formula, U represents the difference in processing quantity between the two processing links, T1 represents the processing time of the current product order, and W represents the number of products in the current product order. If the difference in processing quantity between the two processing links U>0, the supply chain continues to process the product, otherwise the second processing link and the first processing link will be alternated in the supply chain.
[0025] According to the above technical solution, in step S31, when the production efficiency of the enterprise in the second processing link is less than the production efficiency of the first processing link, the time required for the first processing link and the second processing link to process the current product order is calculated by the formula In the formula, T2 represents the time required for the first processing link to process the current product, and T3 represents the time required for the second processing link to process the current product. When the value of T1-T3 is greater than the threshold set by the system, the supply chain continues to operate. When the processing task is completed in the first processing link, the processing mode of the first processing link is adjusted, and the products of the second processing unit are transferred for processing. When the value of T1-T3 is less than the threshold set by the system, if the value of T1-T2 is greater than the threshold set by the system, the system adjusts the processing mode of the first processing link, and transfers the products of the second processing link to the first processing link for shared processing. Otherwise, it cannot be processed.
[0026] According to the above technical solution, in step S4, the order data in the system is retrieved, the number of products in each batch of orders in the order data is identified, the qualified rate of the most recent product quality inspection in the database is retrieved, and the number of product raw materials required under the current qualified rate is calculated by the formula. In the formula, Y represents the quantity of raw materials needed for the product, λ represents the qualified rate of the product, κ represents the influence coefficient of the qualified rate of the product, and the raw material procurement plan is formulated according to the quantity of raw materials for the product.
[0027] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by analyzing the order distribution area and the product loss rate, can accurately obtain the influence coefficient of the order distribution area and the product loss rate on the product market saturation, so that the calculation of the market saturation is more accurate, which greatly improves the accuracy of the system's prediction of market demand, and by accurately analyzing the factors affecting the product market demand and accurately calculating the number of product inventories that the enterprise should retain, it is possible to avoid excessive product inventory, resulting in increased maintenance costs, and to avoid insufficient product inventory, resulting in reduced profits, thereby greatly improving the accuracy of the system, and by judging whether the production efficiency of the enterprise in the second processing link matches the production efficiency of the enterprise in the first processing link, and adjusting the processing link, it is possible to avoid supply chain processing links. The enterprise has no materials to process, resulting in a production vacuum period, increasing the enterprise's rental costs and wasting a lot of resources. It greatly improves the production efficiency of the supply chain. By detecting whether the product can be reversibly processed, the order between the processing links can be adjusted, thereby improving the processing rate. By calculating the real-time product quantity difference in the processing link, it is determined whether the second processing sequence can complete the processing task within the processing cycle, avoiding cost increases caused by supply chain changes, reducing the time wasted in changing the supply chain, and thus improving the production efficiency of the product. By calculating the time it takes for the first processing link and the second processing link to process the current product, the processing mode of the first processing link can be adjusted to share the product of the second processing link, thereby reducing the processing time and greatly improving the production efficiency of the supply chain. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0029] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION
[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.
[0031] See also Figure 1The present invention provides a technical solution: an industrial automation production supply chain management system, including a data acquisition module, a production management module and a procurement management module, characterized in that: the data acquisition module is used to collect the order data, product comprehensive data and market sales comprehensive data of the enterprise, the production management module is used to manage the product inventory of the enterprise and the supply relationship of the supply chain, the procurement management module is used to formulate a procurement plan according to the order quantity and the predicted market demand information, and the data acquisition module, the production management module and the procurement management module are connected to each other in communication;
[0032] The inventory management module includes an order analysis submodule, a market analysis submodule and a demand forecasting submodule. The order analysis submodule is used to analyze the consumer market of the product according to the order address. The market analysis submodule is used to analyze the product consumption cycle in the market and analyze the market saturation. The demand forecasting submodule is used to predict the demand for the product in the market.
[0033] The supply chain management module includes an energy efficiency analysis submodule, an order scheduling submodule and a production adjustment submodule. The energy efficiency analysis submodule is used to analyze the production efficiency of each link in the supply chain. The order scheduling submodule is used to determine whether the order can be received and arrange the production sequence. The production adjustment submodule is used to adjust the production relationship between each link in the supply chain according to the product production process.
[0034] The data collection module includes an order collection module, a product comprehensive information entry module and a market comprehensive data collection module. The order collection module is used to collect the address data of the customer ordering the product, the product comprehensive information entry module is used to enter the comprehensive information data of the product into the system, and the market comprehensive data collection module is used to collect the historical sales data of the product in the market, the consumption cycle of the product in the market and the total quantity of the product in the market.
[0035] The production management module includes a market model training module, which is used to train a market situation model based on comprehensive market data.
[0036] The production management module also includes an inventory management module and a supply chain management module. The inventory management module is used to predict product demand based on order data and market conditions, and the supply chain management module is used to adjust and schedule production orders based on the production efficiency of each enterprise.
[0037] The procurement management module includes an order management module and a procurement plan formulation module. The order management module is used to determine whether the current inventory can complete the order, and the procurement plan formulation module is used to formulate a procurement plan for raw materials.
[0038] The operation method of the supply chain management system mainly includes the following steps:
[0039] Step S1: Through the order collection module, the delivery addresses of all batch orders of the enterprise are collected according to the product codes; through the product comprehensive information entry module, the production process and loss cycle of the product are entered into the system; through the market comprehensive data collection module, the sales situation of the product in the market and the circulation volume of the product in the market are collected;
[0040] Step S2: After data collection is completed, the system starts the inventory management module, starts analyzing order data and market data, and predicts the product demand in the current market based on the analysis results;
[0041] Step S3: When the supply chain starts processing products, the system sends an electrical signal to trigger the supply chain management module to start, start analyzing the production efficiency of each link in the supply chain, and adjust the production relationship of the supply chain according to the analysis results;
[0042] Step S4: When the inventory forecast is completed, the procurement management module is started to analyze the relationship between the order quantity and the inventory quantity and formulate a procurement plan.
[0043] Step S2 further comprises the following steps:
[0044] Step S21: retrieve comprehensive market data, pre-process the data, scan and identify the sales data of the product in the market, use the sales data of the product in the market as sample data to train the market saturation model, retrieve comprehensive product data, identify the consumption cycle data of the product, and use the consumption cycle data of the product as sample data to train the consumption model of the product;
[0045] Step S22: retrieve the product ordering batch of the distributor, identify the code of the product in the ordering batch, retrieve the delivery address of the order according to the product code, classify the delivery address according to the region to which the delivery address belongs, identify the number m of products of all ordering batches in the current belonging area, retrieve the database according to the product quantity to obtain the influence coefficient α of the product quantity on the market saturation of the current belonging area, retrieve the comprehensive information of the product, identify the consumption cycle of the product, retrieve the database according to the consumption cycle to obtain the product loss rate β corresponding to the product consumption cycle, and by analyzing the order distribution area and the product loss rate, the influence coefficient of the order distribution area and the product loss rate on the product market saturation can be accurately obtained, so that the calculation of market saturation is more accurate, which greatly improves the accuracy of the system's prediction of market demand;
[0046] Step S23: retrieve the distributor's ordering cycle, retrieve the quantity of products in the order batch according to the distributor's ordering cycle, give the influence coefficient T of the distributor's ordering cycle on inventory, and calculate the current P by the formula = m·α·β ×100%
[0047] The market saturation of the belonging area is M·η, where P represents the market saturation of the current belonging area, m represents the total number of products in the current belonging area, M represents the potential market of the products in the current area, and η represents the error coefficient of the potential market of the products in the current area. If the market saturation is greater than the second threshold, it means that there is no market in the current belonging area, and the inventory of the current belonging area is not retained. If the market saturation is greater than the first threshold and less than the second threshold, it means that there is a certain market in the current belonging area, and a fixed product inventory is retained. If the market saturation is less than the first threshold, it means that there is a large market in the current belonging area. The quantity of inventory required in the current belonging area and the total quantity of product inventory retained by the enterprise are calculated by the formula:
[0048] S=(1-P)M·η+m·β·T
[0049]
[0050] In the formula, S represents the quantity of product inventory retained in the current region, T represents the influence coefficient of the seller's ordering cycle on the inventory, and Q represents the fixed inventory holding quantity of the enterprise. By accurately analyzing the factors affecting the market demand for products, the quantity of product inventory that the enterprise should retain can be accurately calculated. This can avoid excessive product inventory, which will increase maintenance costs, and avoid insufficient product inventory, which will reduce profits, greatly improving the accuracy of the system.
[0051] Step S3 further comprises the following steps:
[0052] Step S31: retrieve the product production efficiency of each enterprise in the supply chain processing link. When the production efficiency of the enterprise in the second processing link is greater than the production efficiency of the first processing link, adjust the supply chain according to the difference in production efficiency between the two processing links. When the difference in production efficiency between the two processing links is less than the first threshold, it means that the difference in production efficiency between adjacent links is very small, and the supply chain continues to work. When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, determine whether to adjust the supply chain production relationship according to the production efficiency of the processing links. When the difference in production efficiency between the two processing links is greater than the second threshold, alternate the second processing link with the first processing link in the supply chain. By determining whether the production efficiency of the enterprise in the second processing link matches the production efficiency of the enterprise in the first processing link and adjusting the processing link, it is possible to avoid the situation in the supply chain processing link where the enterprise has no materials for processing, resulting in a production vacuum period for the enterprise, an increase in the enterprise's rental costs, and a large waste of resources, thereby greatly improving the production efficiency of the supply chain.
[0053] Step S32: When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, retrieve the comprehensive product information data, identify the product process flow according to the processed product code, and if the product process flow is reversible, that is, the processing order can be disrupted, then the second processing link and the first processing link are alternated in the supply chain. Otherwise, identify the production efficiency ν1 of the second processing link enterprise and the production efficiency ν2 of the first processing link, and calculate the difference in the processing quantity of the two processing links through the formula In the formula, U represents the difference in processing quantity between the two processing links, T1 represents the processing time of the current product order, and W represents the number of products in the current product order. If the difference in processing quantity between the two processing links U>0, it means that the second processing link sequence of the supply chain can complete the product processing task, and the supply chain continues to process the product. Otherwise, the second processing link and the first processing link are alternated in the supply chain. By detecting whether the product can be reversibly processed, the order between the processing links can be adjusted to improve the processing rate. By calculating the real-time product quantity difference in the processing link, it is determined whether the second processing sequence can complete the processing task within the processing cycle, thereby avoiding cost increases caused by supply chain changes and reducing the time wasted in changing the supply chain, thereby improving product production efficiency.
[0054] In step S31, when the production efficiency of the enterprise in the second processing link is less than the production efficiency of the first processing link, the time required for the first processing link and the second processing link to process the current product order is calculated by the formula Wherein, T2 represents the time required for the first processing link to process the current product, and T3 represents the time required for the second processing link to process the current product. When the value of T1-T3 is greater than the threshold set by the system, the supply chain continues to operate. When the processing task is completed in the first processing link, the processing mode of the first processing link is adjusted, and the product of the second processing unit is transferred for processing. When the value of T1-T3 is less than the threshold set by the system, if the value of T1-T2 is greater than the threshold set by the system, the system adjusts the processing mode of the first processing link, and transfers the product of the second processing link to the first processing link for shared processing. Otherwise, it cannot be processed. By calculating the time for the first processing link and the second processing link to process the current product, the processing mode of the first processing link can be adjusted to share the product of the second processing link, thereby reducing the processing time and greatly improving the production efficiency of the supply chain.
[0055] In step S4, the order data in the system is retrieved, the number of products in each batch of orders in the order data is identified, the qualified rate of the most recent product quality inspection is retrieved from the database, and the number of product raw materials required under the current qualified rate is calculated by the formula. In the formula, Y represents the quantity of raw materials needed for the product, λ represents the qualified rate of the product, κ represents the influence coefficient of the qualified rate of the product, and the raw material procurement plan is formulated according to the quantity of raw materials for the product.
[0056] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0057] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An industrial automation production supply chain management system, including a data acquisition module, a production management module and a procurement management module, characterized in that: The data collection module is used to collect the company's order data, product comprehensive data and market sales comprehensive data, the production management module is used to manage the company's product inventory and supply relationship of the supply chain, and the procurement management module is used to formulate a procurement plan based on the order quantity and predicted market demand information. The data collection module, production management module and procurement management module are connected to each other in communication; The production management module also includes an inventory management module and a supply chain management module; The inventory management module includes an order analysis submodule, a market analysis submodule and a demand forecasting submodule. The order analysis submodule is used to analyze the consumer market of the product according to the order address. The market analysis submodule is used to analyze the product consumption cycle in the market and analyze the market saturation. The demand forecasting submodule is used to forecast the demand for the product in the market. The supply chain management module includes an energy efficiency analysis submodule, an order scheduling submodule and a production adjustment submodule. The energy efficiency analysis submodule is used to analyze the production efficiency of each link in the supply chain. The order scheduling submodule is used to determine whether the order can be received and arrange the production sequence. The production adjustment submodule is used to adjust the production relationship between each link in the supply chain according to the production process of the product. The data collection module includes an order collection module, a product comprehensive information entry module and a market comprehensive data collection module. The order collection module is used to collect the address data of the customer ordering the product, the product comprehensive information entry module is used to enter the comprehensive information data of the product into the system, and the market comprehensive data collection module is used to collect the historical sales data of the product in the market, the consumption cycle of the product in the market and the total quantity of the product in the market; The production management module includes a market model training module, and the market model training module is used to train a market situation model according to comprehensive market data; The procurement management module includes an order management module and a procurement plan formulation module. The order management module is used to determine whether the current inventory can complete the order, and the procurement plan formulation module is used to formulate a procurement plan for raw materials; The operation method of the supply chain management system mainly includes the following steps: Step S1: Through the order collection module, the delivery addresses of all batch orders of the enterprise are collected according to the product codes; through the product comprehensive information entry module, the production process and loss cycle of the product are entered into the system; through the market comprehensive data collection module, the sales situation of the product in the market and the circulation volume of the product in the market are collected; Step S2: After data collection is completed, the system starts the inventory management module, starts analyzing order data and market data, and predicts the product demand in the current market based on the analysis results; Step S3: When the supply chain starts processing products, the system sends an electrical signal to trigger the supply chain management module to start, start analyzing the production efficiency of each link in the supply chain, and adjust the production relationship of the supply chain according to the analysis results; Step S4: When the inventory forecast is completed, the procurement management module starts to analyze the relationship between the order quantity and the inventory quantity and formulate a procurement plan; The step S2 further comprises the following steps: Step S21: retrieve comprehensive market data, pre-process the data, scan and identify the sales data of the product in the market, use the sales data of the product in the market as sample data to train the market saturation model, retrieve comprehensive product data, identify the consumption cycle data of the product, and use the consumption cycle data of the product as sample data to train the consumption model of the product; Step S22: retrieve the product order batch of the distributor, identify the code of the product in the order batch, retrieve the delivery address of the order according to the product code, classify the delivery address according to the region to which the delivery address belongs, identify the number m of products in all order batches in the current region, retrieve the database according to the product quantity to obtain the influence coefficient α of the product quantity on the market saturation of the current region, retrieve the comprehensive information of the product, identify the consumption cycle of the product, and retrieve the database according to the consumption cycle to obtain the product loss rate β corresponding to the product consumption cycle; Step S23: retrieve the distributor's ordering cycle, retrieve the quantity of products in the order batch according to the distributor's ordering cycle, give the influence coefficient T of the distributor's ordering cycle on inventory, and calculate the market saturation of the current region through the formula Wherein, P represents the market saturation of the current belonging area, m represents the total number of products in the current belonging area, M represents the potential market of products in the current area, η represents the error coefficient of the potential market of products in the current area, if the market saturation is greater than the second threshold, the inventory of the current belonging area is not retained, if the market saturation is greater than the first threshold and less than the second threshold, a fixed product inventory is retained, if the market saturation is less than the first threshold, the quantity of inventory required in the current belonging area and the total quantity of product inventory retained by the enterprise are calculated by the formula: In the formula, S represents the quantity of product inventory retained in the current region, T represents the coefficient of the seller's order cycle on inventory, and Q represents the fixed inventory holding quantity of the enterprise; The step S3 further comprises the following steps: Step S31: retrieve the product production efficiency of each enterprise in the processing link of the supply chain. When the production efficiency of the enterprise in the second processing link is greater than the production efficiency of the first processing link, adjust the supply chain according to the difference in production efficiency between the two processing links. When the difference in production efficiency between the two processing links is less than a first threshold, the supply chain continues to work. When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, determine whether to adjust the supply chain production relationship according to the production efficiency of the processing link. When the difference in production efficiency between the two processing links is greater than the second threshold, alternate the second processing link with the first processing link in the supply chain. Step S32: When the difference in production efficiency between the two processing links is greater than the first threshold and less than the second threshold, retrieve the comprehensive product information data, identify the product process flow according to the processed product code, and if the product process flow is reversible, that is, the processing order can be disrupted, then the second processing link and the first processing link are alternated in the supply chain. Otherwise, identify the production efficiency ν1 of the second processing link enterprise and the production efficiency ν2 of the first processing link, and calculate the difference in the processing quantity of the two processing links through the formula In the formula, U represents the difference in processing quantity between the two processing links, T1 represents the processing time of the current product order, and W represents the number of products in the current product order. If the difference in processing quantity between the two processing links U>0, the supply chain continues to process the product. Otherwise, the second processing link is alternated with the first processing link in the supply chain. In step S31, when the production efficiency of the enterprise in the second processing link is lower than the production efficiency of the first processing link, the time required for the first processing link and the second processing link to process the current product order is calculated by the formula In the formula, T2 represents the time required for the first processing link to process the current product, and T3 represents the time required for the second processing link to process the current product. When the value of T1-T3 is greater than the threshold set by the system, the supply chain continues to operate. When the processing task is completed in the first processing link, the processing mode of the first processing link is adjusted, and the products of the second processing unit are transferred for processing. When the value of T1-T3 is less than the threshold set by the system, if the value of T1-T2 is greater than the threshold set by the system, the system adjusts the processing mode of the first processing link and transfers the products of the second processing link to the first processing link for amortized processing. Otherwise, the products cannot be processed. In step S4, the order data in the system is retrieved, the number of products in each batch of orders in the order data is identified, the qualified rate of the most recent product quality inspection is retrieved from the database, and the number of product raw materials required under the current qualified rate is calculated by a formula. In the formula, Y represents the quantity of raw materials needed for the product, λ represents the qualified rate of the product, κ represents the influence coefficient of the qualified rate of the product, and the raw material procurement plan is formulated according to the quantity of raw materials for the product.
Citation Information
Patent Citations
Material purchasing plan and supply chain management system
CN116187933A