A collaborative management method for industrial product supply chain

Abstract

The present invention discloses a collaborative management method for an industrial product supply chain, which relates to collaborative management technology and is used to improve problems. The method comprises the following steps: identifying and marking industrial products in a factory by calling their marks, obtaining supply chain information of the marked product materials, setting supply weights for each supply chain according to the factory's supply chain information, dividing metering time, collecting the product output and product return of the marked products, calculating the product return rate and setting the production standard value of the marked products, setting analysis time to detect changes in the factory's supply chain, analyzing the adjustment trajectory characteristics of the marked products in combination with the supply chain weights, processing and detecting the returned marked products and calculating the production adjustment ratio of the marked products, setting a production update value according to the production adjustment ratio of the marked products and selectively providing the production standard value or the production update value of the marked products.

Description

Technical Field

[0001] The present invention relates to the field of collaborative management technology, and more specifically, to a collaborative management method for an industrial product supply chain. Background Art

[0002] Collaborative management technology in industrial products is a management method that aims to optimize the entire production process of industrial products, from raw material procurement to final delivery. When collaborative management technology is applied to the industrial product supply chain, it can optimize the entire supply chain process from raw material procurement to final delivery of industrial products and improve management efficiency.

[0003] The existing technology has the following deficiencies:

[0004] In the past, the production base of industrial products was evaluated based on product supply and after-sales processing efficiency, without considering the changes in the original material supply chain and the collaborative production problems caused by changes in different supply chains, thereby reducing the output of industrial products. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a collaborative management method for an industrial product supply chain, which sets the product output of the corresponding supply products by evaluating the supply impact of different supply chains of industrial products and detecting supply changes in the supply chain to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A collaborative management method for an industrial product supply chain comprises the following steps:

[0008] Step S1: Call the labels of industrial products in the factory to identify and mark them, access the factory's cooperative industry information to obtain the supply chain information of the marked product materials, and set the supply weight for each supply chain based on the factory's supply chain information;

[0009] Step S2: dividing the metering time, collecting the product supply volume and product return volume of the marked product during the metering time, calculating the product return rate based on the product return volume, and setting the production standard value of the marked product based on the comprehensive product supply volume and product return rate;

[0010] Step S3: Set the analysis time to detect changes in the factory's supply chain, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weight, perform processing speed detection on the returned marked products, and calculate the production adjustment ratio of the marked products;

[0011] Step S4: setting a production update value according to the production adjustment ratio of the marked product and selecting to provide a production standard value or a production update value of the marked product.

[0012] In a preferred embodiment, in step S1, by calling the labels on the industrial products in the factory, the codes of the corresponding products are identified and marked, and the supply chain information of the marked product materials is obtained, including the total supply of each material and the years of cooperation.

[0013] In a preferred embodiment, in step S1, supply weights are set for each supply chain based on the supply chain information of the factory. The specific steps are as follows:

[0014] Quantitatively analyze the supply chain information of the marked product materials and set the supply weight of the corresponding supplier. The calculation formula is: ,in, is the total supply of the i-th supply chain, The cooperation period of the i-th supply chain, is the preset weight coefficient, n is the total supply chain quantity of the marked product, is the supply weight of the supply chain.

[0015] In a preferred embodiment, in step S2, the production mark value of the marked product is calculated by counting the product supply amount and product return amount of the marked product within a preset measurement time, and the specific steps are as follows:

[0016] Select a period of time as the division time, obtain the product supply and product return volume of the marked product within the division time, and mark them as ,Will and The ratio is taken as the product return rate.

[0017] In a preferred embodiment, in step S2, the production mark value of the marked product is set in combination with the product supply volume and the product return rate, which is used to subsequently determine whether the production strategy needs to be adjusted. The calculation formula is: , where P is the production standard value;

[0018] The production mark value reflects the comprehensive performance of the supply chain supply of the product within the divided time.

[0019] In a preferred embodiment, in step S3, when setting the analysis time, the past period is divided into multiple consecutive and equal-length analysis cycles, and the supply volume and supply weight of the supply chain corresponding to the marked product in the current analysis cycle and the previous analysis cycle are obtained;

[0020] The supply volume of the supply chain is used as the change in the supply chain, and the calculation formula is: ,in, is the supply quantity of the current analysis period, is the supply quantity of the previous analysis period, is the amount of supply chain change;

[0021] The difference between the supply weight of the supply chain in the current analysis period and the previous analysis period is marked as the supply chain weight change rate , the average value of the supply chain weight change rate corresponding to the marked products is taken as the average weight change degree.

[0022] In a preferred embodiment, in step S3, the number of analysis periods divided into multiple periods over the past period is recorded as m, and the average value of all supply chain changes in the m analysis periods is calculated and recorded as , calculate the average value of the weighted average change degree and record it as , respectively reflecting the long-term average characteristics of the supply chain change amount and weighted average change degree; the Pearson coefficient calculation formula is: , where r is the adjustment trajectory feature.

[0023] In a preferred embodiment, in step S3, the production adjustment ratio is dynamically calculated based on the comprehensive adjustment trajectory characteristics and the returned product processing rate according to the following rules:

[0024] Rule 1: If the adjustment trajectory characteristic exceeds the preset adjustment threshold and the product processing rate is greater than or equal to the processing rate threshold, set the production adjustment ratio to 0;

[0025] Rule 2: If the adjustment trajectory characteristic exceeds the preset adjustment threshold and the product processing rate is less than the processing rate threshold, the production adjustment ratio is calculated as follows: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production;

[0026] Rule 3: If the adjustment trajectory characteristic is less than or equal to the adjustment threshold, the formula for calculating the production adjustment ratio is: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production.

[0027] In a preferred embodiment, in step S4, the production adjustment ratio and the production standard value are comprehensively considered to dynamically set the production update value of the marked product, and one of the production standard value and the production update value is selected as the basis for the final production plan according to the decision rule. The specific content is as follows:

[0028] The generated update value is a dynamic correction of the production standard value through the production adjustment ratio. The calculation formula is: ,in, Adjust the ratio for production, To generate updated values;

[0029] Determine whether to modify and adjust the current production standard value based on the production adjustment ratio: when the production adjustment ratio is 0, the production standard value is provided directly without adjustment; when the production adjustment ratio is greater than 0, the production standard value is adjusted to generate an updated value and provided.

[0030] The technical effects and advantages of the collaborative management method for industrial product supply chains of the present invention are as follows:

[0031] The present invention identifies and marks industrial products in a factory by calling the marks of the products, obtains the supply chain information of the marked product materials, sets the supply weight for each supply chain according to the supply chain information of the factory, and uses the supply weight to improve the production process monitoring capability and quality management efficiency, divide the metering time, collect the product supply and product return of the marked products, calculate the product return rate and set the production standard value of the marked products, set the analysis time to detect the supply chain changes of the factory, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weight, process and detect the returned marked products and calculate the production adjustment ratio of the marked products, set the production update value according to the production adjustment ratio of the marked products, and choose to provide the production standard value or production update value of the marked products, thereby reducing overproduction losses and improving the management efficiency of industrial products. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is an overall flow chart of the collaborative management method for industrial product supply chains of the present invention.

[0033] Figure 2 This is a schematic diagram of the supply chain structure and weight changes of the present invention.

[0034] Figure 3 This is a relationship diagram between the production standard value and the adjustment ratio of the present invention.

[0035] Figure 4 Schematic diagram of the product return processing rate and supply chain responsiveness of the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0037] The present invention identifies and marks industrial products by calling the marks of the industrial products in the factory, obtains the supply chain information of the marked product materials, sets the supply weight for each supply chain according to the supply chain information of the factory, divides the metering time, collects the product supply and product return volume of the marked products, calculates the product return rate and sets the production standard value of the marked products, sets the analysis time to detect the supply chain changes of the factory, analyzes the adjustment trajectory characteristics of the marked products in combination with the supply chain weight, processes and detects the returned marked products and calculates the production adjustment ratio of the marked products, sets the production update value according to the production adjustment ratio of the marked products and chooses to provide the production standard value or production update value of the marked products, thereby reducing overproduction losses and improving the management efficiency of industrial products.

[0038] Embodiment, a collaborative management method for industrial product supply chain, such as Figures 1 to 4 As shown, the following steps are included:

[0039] Step S1: Call the labels of industrial products in the factory to identify and mark them, access the factory's cooperative industry information to obtain the supply chain information of the marked product materials, and set the supply weight for each supply chain based on the factory's supply chain information;

[0040] Step S2: dividing the metering time, collecting the product supply volume and product return volume of the marked product during the metering time, calculating the product return rate based on the product return volume, and setting the production standard value of the marked product based on the comprehensive product supply volume and product return rate;

[0041] Step S3: Set the analysis time to detect changes in the factory's supply chain, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weight, perform processing speed detection on the returned marked products, and calculate the production adjustment ratio of the marked products;

[0042] Step S4: setting a production update value according to the production adjustment ratio of the marked product and selecting to provide a production standard value or a production update value of the marked product.

[0043] The specific implementation is as follows:

[0044] In step S1, the labels on the industrial products in the factory are called from the product database to identify the unique codes of the corresponding products and mark them. The cooperative industry information platform connected to the factory is accessed to obtain the supply chain information of the marked product materials, including the total supply of each material and the years of cooperation.

[0045] Quantitatively analyze the supply chain information of the marked product materials and set the supply weight of the corresponding supplier. The calculation formula is: ,in, is the total supply of the i-th supply chain, The cooperation period of the i-th supply chain, is the weight coefficient, n is the total supply chain quantity of the marked product, is the supply weight of the supply chain.

[0046] By calling the label information of industrial products in the factory and combining it with the supply chain data of the cooperating industries, it is possible to systematically identify and classify the sources and paths of materials at all levels that the products rely on in the manufacturing process. Supply weights can be set based on the actual data of the supply chain, so that subsequent traceability analysis of product quality fluctuations or supply changes has a basis, thereby improving the visibility and management accuracy of the entire supply chain structure.

[0047] It should be noted that the product database is a structured data system used to store and manage information on the entire life cycle of industrial products. Its core is to associate product attributes, dynamic status, and supply chain data through unique coding. The supply weight coefficient is dynamically adjusted by professionals based on actual conditions. For example, if the importance of long-term cooperative relationships is emphasized, the corresponding weight coefficient is increased; if the supply chain supply volume is emphasized, the corresponding weight coefficient is increased. The setting method is not unique and will not be elaborated here.

[0048] In step S2, by counting the amount of marked products supplied and returned within a preset metering time, the stability of the marked products in the current production process and the efficiency of the production plan execution are measured, and the production mark value of the marked products is obtained by comprehensive calculation. The specific implementation steps are as follows:

[0049] The preset measurement time is used as the time unit, and the product supply and product return quantity of the marked product within the time unit are obtained through the product database, and marked as The product return rate reflects the stability of the product within the measurement time, and the calculation formula is: ,where R is the product return rate;

[0050] The production mark value reflects the comprehensive performance of the supply chain within a unit of time. It is set by combining the product supply volume and product return rate to mark the product. It is used to determine whether the production strategy needs to be adjusted. The calculation formula is: , where P is the production standard value;

[0051] When the production mark value is high, it means that the supply chain performs well during the cycle; when the production mark value is low, it means that there are risks in the supply chain.

[0052] By collecting the supply and return quantities of marked products within the set metering time, it is possible to dynamically obtain quality feedback information on the current production process. By calculating the return rate and combining it with the actual supply quantity to generate the production standard value, it can effectively reflect the actual output capacity and quality level of the supply chain, provide an objective quantitative basis for the optimization of subsequent production strategies, and help improve the production process monitoring capabilities and quality management efficiency.

[0053] It should be noted that the preset metering time is set by professionals, for example, daily, weekly, monthly, etc., to collect statistical product flow data;

[0054] In step S3, the past period is divided into multiple consecutive and equal-length analysis periods, denoted as t. The adjustment trajectory characteristics of the supply chain of the marked product over the past period are analyzed, and the changes in the supply chain are dynamically monitored and the production strategy is optimized. The specific contents are as follows:

[0055] The supply quantity and supply weight of the supply chain corresponding to the marked product in the current analysis period and the previous analysis period are obtained through the product database.

[0056] The supply volume of the supply chain is used as the change in the supply chain, and the calculation formula is: ,in, is the supply quantity of the current analysis period, is the supply quantity of the previous analysis period, is the amount of supply chain change;

[0057] The difference between the supply weight of the supply chain in the current analysis period and the previous analysis period is used as the supply chain weight change rate, and the calculation formula is: ,in, is the supply weight of the supply chain in the current analysis period, is the supply weight of the supply chain in the previous analysis period, is the supply chain weight change rate;

[0058] In the current analysis cycle, the average value of the supply chain weight change rate corresponding to the marked product reflects the fluctuation of the factory's overall supply structure. The calculation formula is: , where n is the sum of the total number of supply chains corresponding to the marked products, is the weighted average change degree;

[0059] The adjustment trajectory characteristics are used to measure whether the supply change of the marked product responds to the changes in the supply chain structure in a timely and effective manner. The adjustment trajectory characteristics are comprehensively analyzed using the Pearson coefficient based on the supply chain change amount and the weighted average change degree.

[0060] The number of analysis cycles divided into the past period is recorded as m, and the average value of all supply chain changes in m analysis cycles is calculated and recorded as , and the average value of the weighted average change degree is recorded as , respectively reflecting the long-term average characteristics of the supply chain change amount and weighted average change degree; the Pearson coefficient calculation formula is: , where r is the adjustment trajectory feature.

[0061] If the adjustment trajectory characteristics are large, it means that the product supply behavior can adapt well to the changes in the supply chain structure; if the adjustment trajectory characteristics are small, it means that there are problems in the response of the product supply behavior to the changes in the supply chain structure.

[0062] The product database is used to obtain information about marked products returned during the current analysis period, including the time when the returned product processing is completed and the amount of returned products processed, which are marked as and , the returned product processing rate is used as a quantitative indicator of processing speed, and the calculation formula is: , where V is the returned product processing rate.

[0063] If the returned product processing rate is high, it means that the supply chain has a strong responsiveness to returned products; if the returned product processing rate is low, it means that the supply chain has insufficient responsiveness to returns, and the production strategy should be adjusted based on the adjustment trajectory characteristics.

[0064] The production adjustment ratio is dynamically calculated based on the comprehensive adjustment trajectory characteristics and the returned product processing rate according to the following rules:

[0065] Rule 1: If the adjustment trajectory characteristic is greater than or equal to the high adjustment threshold, and the product processing rate is greater than or equal to the processing rate threshold, set the production adjustment ratio to 0;

[0066] Rule 2: If the adjustment trajectory characteristic is greater than or equal to the high adjustment threshold, and the product processing rate is less than the processing rate threshold, the formula for calculating the production adjustment ratio is: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production;

[0067] Rule 3: If the adjustment trajectory characteristic is less than the low adjustment threshold, the formula for calculating the production adjustment ratio is: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production;

[0068] If the production adjustment ratio satisfies Rule 1, it means that the supply chain response is efficient and the processing capacity is sufficient, and the current production strategy is maintained; if the production adjustment ratio satisfies Rule 2, it means that the supply chain response is efficient but the processing is delayed, and linear adjustment is made according to the degree of deviation from the processing rate; if the production adjustment ratio satisfies Rule 3, it means that the supply chain response is delayed, and the adjustment trajectory characteristics and the returned product processing rate are comprehensively calculated to prevent insufficient adjustment when the processing capacity is extremely low.

[0069] By setting the analysis time to obtain changes in the supply chain and combining weight analysis to adjust trajectory characteristics, it is possible to dynamically perceive the fluctuation trend of the supply chain system. At the same time, the production adjustment ratio is calculated based on the returned product processing rate, which helps to achieve dynamic adjustment of production plans and collaborative optimization of the supply chain, enhancing the overall stability and responsiveness of the system.

[0070] It should be noted that the Pearson correlation coefficient is a statistic used to measure the degree of linear correlation between two variables. Its value range is between -1 and 1. It can quantify the degree of linear correlation between the amount of supply chain change and the average degree of weighted change. The Pearson coefficient is used to analyze the adjustment trajectory characteristics to quantify the responsiveness of the supply chain strategy to actual changes. If the adjustment trajectory characteristics are high, it indicates that the system responds quickly and the strategy is reasonable. If the adjustment trajectory characteristics are low, it indicates that the system adjustment is lagging, and the production adjustment ratio needs to be calculated for correction; the preset adjustment experience value is a correction coefficient based on historical data or adjustment experience, which is used to quantify the adjustment range. For example, if the preset adjustment experience value of the marked product is 0.5, the actual adjustment ratio is 50% of the deviation degree to avoid production shocks caused by excessive adjustment. The preset adjustment experience value is set by professionals, and the method is not unique, so it will not be described here.

[0071] In step S4, based on the production adjustment ratio obtained in step S3 and combined with the production standard value, the production update value of the marked product is dynamically set, and one of the production standard value and the production update value is selected as the basis for the final production plan according to the decision rule. The specific content is as follows:

[0072] The generated update value is a dynamic correction of the production standard value through the production adjustment ratio. The calculation formula is: ,in, Adjust the ratio for production, To generate updated values;

[0073] Different decision rules are set based on the production adjustment ratio to determine whether to adjust the production target value and to select the final production plan basis under the adjustment conditions:

[0074] Determine whether to modify and adjust the current production standard value based on the production adjustment ratio: when the production adjustment ratio is 0, it is determined that the production standard value will not be adjusted; when the production adjustment ratio is greater than 0, it is determined that the production standard value will be adjusted to generate an updated value.

[0075] Further, based on the preset adjustment trigger threshold, choose to use the production standard value or production update value as the basis for the final production plan: when the production adjustment ratio is less than the adjustment trigger threshold, the production standard value is judged as the basis for the final production plan; when the production adjustment ratio is greater than or equal to the adjustment trigger threshold, the generated update value is judged as the basis for the final production plan.

[0076] By marking the production adjustment ratio of the product, setting the corresponding production update value, and choosing between the production mark value and the production update value, dynamic adjustment and control of production parameters can be achieved, reducing overproduction losses, improving resource allocation efficiency and production capacity scheduling flexibility, and enhancing the system's adaptability and economy.

[0077] It should be noted that the adjustment trigger threshold is set by professionals, and the method is not unique. For example, it is set comprehensively based on the marked average return rate, historical data of supply chain fluctuations and factory production capacity redundancy. Products with high return rates are set with a lower adjustment trigger threshold to trigger production contraction in advance, and products with low return rates are set with a higher adjustment trigger threshold to avoid production instability caused by frequent adjustments.

[0078] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0079] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application of the technical solution and the invention constraints. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0080] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0081] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0082] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A collaborative management method for an industrial product supply chain, characterized in that: The following steps are involved: Step S1: Call the labels of industrial products in the factory to identify and mark them, access the factory's cooperative industry information to obtain the supply chain information of the marked product materials, and set the supply weight for each supply chain based on the factory's supply chain information; Step S2: dividing the metering time, collecting the product supply volume and product return volume of the marked product during the metering time, calculating the product return rate based on the product return volume, and setting the production standard value of the marked product based on the comprehensive product supply volume and product return rate; Step S3: Set the analysis time to detect changes in the factory's supply chain, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weight, perform processing speed detection on the returned marked products, and calculate the production adjustment ratio of the marked products; Step S4: setting a production update value according to the production adjustment ratio of the marked product and selecting to provide a production standard value or a production update value of the marked product; In step S3, when setting the analysis time, the past period is divided into multiple consecutive and equal-length analysis cycles, and the supply volume and supply weight of the supply chain corresponding to the marked product in the current analysis cycle and the previous analysis cycle are obtained; The supply volume of the supply chain is used as the change in the supply chain, and the calculation formula is: ,in, is the supply quantity of the current analysis period, is the supply quantity of the previous analysis period, is the amount of supply chain change; The difference between the supply weight of the supply chain in the current analysis period and the previous analysis period is marked as the supply chain weight change rate , the average value of the supply chain weight change rate corresponding to the marked product is taken as the average weight change degree; In step S3, the number of analysis periods divided into multiple periods in the past period is recorded as m, and the average value of all supply chain changes in m analysis periods is calculated and recorded as , calculate the average value of the weighted average change degree and record it as , respectively reflecting the long-term average characteristics of the supply chain change amount and weighted average change degree; the Pearson coefficient calculation formula is: , where r is the adjustment trajectory feature.

2. The collaborative management method for an industrial product supply chain according to claim 1, characterized in that: In step S1, by calling the labels on the industrial products in the factory, the codes of the corresponding products are identified and marked, and the supply chain information of the marked product materials is obtained, including the total supply volume of each material and the years of cooperation.

3. The collaborative management method for an industrial product supply chain according to claim 1, characterized in that: In step S1, supply weights are set for each supply chain based on the factory's supply chain information. The specific steps are as follows: Quantitatively analyze the supply chain information of the marked product materials and set the supply weight of the corresponding supplier. The calculation formula is: ,in, is the total supply of the i-th supply chain, The cooperation period of the i-th supply chain, is the preset weight coefficient, n is the total supply chain quantity of the marked product, is the supply weight of the supply chain.

4. The method for collaborative management of an industrial product supply chain according to claim 1, characterized in that: In step S2, the production mark value of the marked product is calculated by counting the product supply volume and product return volume of the marked product within the preset measurement time. The specific steps are as follows: Select a period of time as the division time, obtain the product supply and product return volume of the marked product within the division time, and mark them as ,Will and The ratio is taken as the product return rate.

5. The collaborative management method for an industrial product supply chain according to claim 4, characterized in that: In step S2, the production mark value of the marked product is set in combination with the product supply volume and the product return rate, which is used to determine whether the production strategy needs to be adjusted later. The calculation formula is: , where P is the production standard value; The production mark value reflects the comprehensive performance of the supply chain supply of the product within the divided time.

6. The method for collaborative management of an industrial product supply chain according to claim 1, characterized in that: In step S3, the production adjustment ratio is dynamically calculated based on the comprehensive adjustment trajectory characteristics and the returned product processing rate according to the following rules: Rule 1: If the adjustment trajectory characteristic exceeds the preset adjustment threshold and the product processing rate is greater than or equal to the processing rate threshold, set the production adjustment ratio to 0; Rule 2: If the adjustment trajectory characteristic exceeds the preset adjustment threshold and the product processing rate is less than the processing rate threshold, the production adjustment ratio is calculated as follows: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production; Rule 3: If the adjustment trajectory characteristic is less than or equal to the adjustment threshold, the formula for calculating the production adjustment ratio is: ,in, is the processing rate threshold, Adjust the experience value for the preset, Adjust proportions for production.

7. The collaborative management method for an industrial product supply chain according to claim 6, characterized in that: In step S4, the production adjustment ratio and the production standard value are comprehensively considered to dynamically set the production update value of the marked product, and one of the production standard value and the production update value is selected as the basis for the final production plan according to the decision rule. The specific contents are as follows: The generated update value is a dynamic correction of the production standard value through the production adjustment ratio. The calculation formula is: ,in, Adjust the ratio for production, To generate updated values; Determine whether to modify and adjust the current production standard value based on the production adjustment ratio: when the production adjustment ratio is 0, the production standard value is provided directly without adjustment; when the production adjustment ratio is greater than 0, the production standard value is adjusted to generate an updated value and provided.

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