Industrial product supply chain collaborative management method

Abstract

The invention discloses an industrial product supply chain collaborative management method, which relates to a collaborative management technology, is used for improving problems and comprises the following steps: identifying and marking by calling marks of industrial products in a factory, acquiring supply chain information of marked product materials, setting supply weights for supply chains according to the supply chain information of the factory, and dividing metering time. The method comprises the following steps: collecting product supply quantity and product return quantity of a marked product, calculating a product return rate, setting a production scale value of the marked product, setting analysis time to detect a supply chain change condition of a factory, and analyzing adjustment track characteristics of the marked product in combination with a supply chain weight; and processing and detecting the returned marked product, calculating the production adjustment proportion of the marked product, setting a production update value according to the production adjustment proportion of the marked product, and selectively providing the production scale value or the production update value of the marked product.

Description

Technical Field

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

[0002] The collaborative management technology in industrial products is a management method aiming to optimize the entire production process of industrial products from raw material procurement to final delivery. When the collaborative management technology is applied to the industrial product supply chain, it can optimize the entire supply chain process of industrial products from raw material procurement to final delivery and improve management efficiency. The existing technology has the following deficiencies: In the past, the production base of industrial products was evaluated and set together with the product supply and after-sales processing efficiency, without considering the supply changes of the original material supply chain and the collaborative production problems caused by the supply changes of different supply chains, thus reducing the output of industrial products. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the existing technology, an embodiment of the present invention provides a collaborative management method for the industrial product supply chain, which sets the product output of the corresponding supply products by evaluating the supply impacts of different supply chains of industrial products and detecting the supply change situations of the supply chains to solve the problems raised in the above-mentioned background art.

[0004] To achieve the above object, the present invention provides the following technical solutions: A collaborative management method for the industrial product supply chain, comprising the following steps: Step S1: Call the labels of industrial products in the factory for identification and marking, access the industrial information of the factory's cooperative industries to obtain the supply chain information of the marked product materials, and set the supply weights for each supply chain according to the supply chain information of the factory; Step S2: Divide the measurement time, collect the product supply volume and product return volume of the marked products within the measurement time, calculate the product return rate according to the product return volume, and set the production standard value of the marked products by integrating the product supply volume and the product return rate; Step S3: Set the analysis time to detect the supply chain change situation of the factory, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weights, detect the processing speed of the returned marked products and calculate the production adjustment ratio of the marked products; Step S4: Set the production update value according to the production adjustment ratio of the marked products and select to provide the production standard value or the production update value of the marked products.

[0005] In a preferred embodiment, in step S1, by calling the labels on the industrial products in the factory, the corresponding product codes 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 cooperation years.

[0006] In a preferred embodiment, in step S1, supply weights are set for each supply chain according to the supply chain information of the factory. The specific steps are as follows: Quantitatively analyze the supply chain information of the labeled product materials, and set the supply weights of the corresponding suppliers. The calculation formula is: , where is the total supply volume of the i-th supply chain, is the cooperation years of the i-th supply chain, is the preset weight coefficient, n is the total number of supply chains of the labeled product, is the supply weight of the supply chain.

[0007] In a preferred embodiment, in step S2, by counting the product supply volume and product return volume of the labeled product within the pre-designed measurement time and calculating the production standard value of the labeled product, the specific steps are as follows: Select a period of time as the division time, and obtain the product supply volume and product return volume of the labeled product within the division time, which are respectively marked as , and take the ratio of to as the product return rate.

[0008] In a preferred embodiment, in step S2, combine the product supply volume and the product return rate to set the production standard value of the labeled product for subsequent judgment of whether production strategy adjustment is needed. The calculation formula is: , where P is the production standard value; The production standard value reflects the comprehensive performance of the supply chain in supplying goods within the division time.

[0009] In a preferred embodiment, in step S3, when setting the analysis time, divide the past period of time into multiple consecutive and equal-length analysis cycles, and obtain the supply volume and supply weight of the supply chain corresponding to the labeled product within the current analysis cycle and the previous analysis cycle; The supply volume of the supply chain is used as the change amount of the supply chain. The calculation formula is: , where is the supply volume of the current analysis cycle, is the supply volume of the previous analysis cycle, is the change amount of the supply chain; The difference in the supply weight of the supply chain between the current analysis cycle and the previous analysis cycle is marked as the supply chain weight change rate , and the average value of the supply chain weight change rate corresponding to the labeled product is used as the average change degree of the weight.

[0010] In a preferred embodiment, in step S3, the number of multiple analysis periods into which a past period is divided is denoted as m, and the average value of all supply chain change amounts within the m analysis periods is denoted as , and the average value of the weighted average change degree is denoted as , respectively reflecting the long-term average characteristics of the supply chain change amount and the weighted average change degree; The Pearson coefficient calculation formula is: , where r is the adjustment trajectory feature.

[0011] In a preferred embodiment, in step S3, the production adjustment ratio is dynamically calculated according to the following rules by integrating the adjustment trajectory feature and the return product processing rate: Rule 1: If the adjustment trajectory feature 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 feature exceeds the preset adjustment threshold and the product processing rate is less than the processing rate threshold, then the formula for calculating the production adjustment ratio is: , where, is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio; Rule 3: If the adjustment trajectory feature is less than the adjustment threshold, then the formula for calculating the production adjustment ratio is: , where, is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio.

[0012] In a preferred embodiment, in step S4, by integrating the production adjustment ratio and 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: The generated update value is the dynamic correction of the production standard value by the production adjustment ratio, and the calculation formula is: , where, is the production adjustment ratio, is the generated update value; Determine whether to correct and adjust the current production standard value according to the production adjustment ratio: When the production adjustment ratio is 0, the production standard value is not adjusted and directly provided; When the production adjustment ratio is greater than 0, the production standard value is adjusted to the generated update value for providing.

[0013] The technical effects and advantages of an industrial product supply chain collaborative management method of the present invention: The present invention identifies and marks by calling the marks of industrial products in the factory, obtains the supply chain information of the marked product materials, sets supply weights for each supply chain according to the supply chain information of the factory, divides the measurement time, collects the product delivery volume 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 change situation of the factory, analyzes the adjustment trajectory characteristics of the marked products in combination with the supply chain weights, conducts processing detection on 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 selects to provide the production standard value or production update value of the marked products, thereby reducing the loss of overproduction and improving the management efficiency of industrial products. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is the overall flowchart of the industrial product supply chain collaborative management method of the present invention.

[0015] Figure 2 It is the schematic diagram of the supply chain structure and weight change of the present invention.

[0016] Figure 3 It is the relationship diagram of the production standard value and adjustment ratio of the present invention.

[0017] Figure 4 It is the schematic diagram of the returned product processing rate and supply chain response ability of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] The present invention identifies and marks by calling the marks of industrial products in the factory, obtains the supply chain information of the marked product materials, sets supply weights for each supply chain according to the supply chain information of the factory, divides the measurement time, collects the product delivery volume 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 change situation of the factory, analyzes the adjustment trajectory characteristics of the marked products in combination with the supply chain weights, conducts processing detection on 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 selects to provide the production standard value or production update value of the marked products, thereby reducing the loss of overproduction and improving the management efficiency of industrial products.

[0020] Embodiment, an industrial product supply chain collaborative management method, as Figures 1 to 4 shown, includes the following steps: Step S1: Call the labels of industrial products in the factory for identification and marking, access the supply chain information of the marked product materials by obtaining the cooperative industrial information of the factory, and set the supply weights for each supply chain according to the supply chain information of the factory; Step S2: Divide the measurement time, collect the product supply volume and product return volume of the marked products within the measurement time, calculate the product return rate based on the product return volume, and set the production standard value of the marked products by integrating the product supply volume and the product return rate; Step S3: Set the analysis time to detect the supply chain change situation of the factory, analyze the adjustment trajectory characteristics of the marked products in combination with the supply chain weights, detect the processing speed of the returned marked products and calculate the production adjustment ratio of the marked products; Step S4: Set the production update value according to the production adjustment ratio of the marked products and select to provide the production standard value or the production update value of the marked products.

[0021] The specific implementation is as follows: In step S1, by calling the labels on the industrial products in the factory from the product database, the unique code of the corresponding product is identified and marked, and the supply chain information platform of the cooperative industry accessed by the factory is visited to obtain the supply chain information of the marked product materials, including the total supply volume of each material and the cooperation years.

[0022] Conduct a quantitative analysis of the supply chain information of the marked product materials, and set the supply weights of the corresponding suppliers. The calculation formula is: , where is the total supply volume of the i-th supply chain, the cooperation years of the i-th supply chain, is the weight coefficient, n is the total number of supply chains of the marked products, is the supply weight of the supply chain.

[0023] By calling the label information of industrial products in the factory and combining the supply chain data of the cooperative industry, it is possible to systematically identify and classify the sources and paths of various levels of materials relied on by products in the manufacturing process, set supply weights based on the actual supply chain data, so that the 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.

[0024] It should be noted that the product database is a structured data system for storing and managing the information of the entire life cycle of industrial products. Its core is to associate the attributes, dynamic status, and supply chain data of products through a unique code; the supply weight coefficient is dynamically adjusted by professionals according to the actual situation. For example, if the importance of the long-term cooperation relationship is emphasized, the corresponding weight coefficient is increased. If the supply volume of the supply chain is emphasized, the corresponding weight coefficient is increased. The setting method is not unique and will not be elaborated here; In step S2, by counting the product supply volume and product return volume of the marked product within the pre-designed measurement time, the stability of the marked product and the execution efficiency of the production plan in the current production process are measured, and the production standard value of the marked product is comprehensively calculated. The specific implementation steps are as follows: Taking the pre-designed measurement time as the time unit, the product supply volume and product return volume of the marked product within the time unit are obtained through the product database and are respectively 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; The production standard value reflects the comprehensive performance of the supply chain in supplying goods within the time unit. Combining the product supply volume and the product return rate, the production standard value of the marked product is set, which is used to judge whether production strategy adjustment is needed in the follow-up. The calculation formula is: , where P is the production standard value; When the production standard value is high, it indicates that the supply chain performs excellently in this cycle; when the production standard value is low, it indicates that there are risks in the supply chain.

[0025] By collecting the supply volume and return volume of the marked product within the set measurement time, the quality feedback information in the current production process can be dynamically obtained. By calculating the return rate and combining the actual supply volume 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 ability and quality management efficiency.

[0026] It should be noted that the pre-designed measurement time is set by professionals, such as daily, weekly, monthly, etc., to count the product flow data; In step S3, a past period of time is divided into multiple consecutive and equal-length analysis periods denoted as t, and the adjustment trajectory characteristics of the supply chain of the marked product in the past period of time are analyzed to dynamically monitor the changes in the supply chain and optimize the production strategy. The specific content is as follows: Through the product database, the supply volume and supply weight of the supply chain corresponding to the marked product in the current analysis period and the previous analysis period are obtained.

[0027] The supply volume of the supply chain is used as the change amount of the supply chain, and the calculation formula is: , where is the supply quantity in the current analysis period, is the supply quantity in the previous analysis period, is the supply chain change amount; The difference in the supply weights of the supply chain between the current analysis period and the previous analysis period is used as the supply chain weight change rate, and the calculation formula is: , where 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; In the current analysis period, the average value of the supply chain weight change rates corresponding to the marked products reflects the fluctuation of the overall supply structure of the factory, and 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; The adjustment trajectory feature is used to measure whether the supply change amount of the marked product can respond to the change of the supply chain structure in a timely and effective manner. The Pearson coefficient is used to comprehensively analyze the adjustment trajectory feature through the supply chain change amount and the weighted average change degree.

[0028] The number of dividing the past period of time into multiple analysis periods is denoted as m, and the average value of all supply chain change amounts within m analysis periods is denoted as , and the average value of calculating the weighted average change degree is denoted as , which respectively reflect the long-term average characteristics of the supply chain change amount and the weighted average change degree; the Pearson coefficient calculation formula is: , where r is the adjustment trajectory feature.

[0029] If the adjustment trajectory feature is large, it indicates that the product supply behavior can better adapt to the change of the supply chain structure; if the adjustment trajectory feature is small, it indicates that there are problems with the response of the product supply behavior to the change of the supply chain structure.

[0030] Obtain the information of the marked products returned in the current analysis period through the product database, including the completion time of the return product processing and the return quantity of the return product processing completed, which are respectively marked as and , and the return product processing rate is used as a quantitative index of the processing speed, and the calculation formula is: , where V is the return product processing rate.

[0031] If the return product processing rate is high, it indicates that the supply chain has a strong response ability to the return products; if the return product processing rate is low, it indicates that the supply chain has insufficient response ability to the returns, and the production strategy is adjusted in combination with the adjustment trajectory feature.

[0032] Dynamically calculate the production adjustment ratio by comprehensively adjusting the trajectory characteristics and the processing rate of returned products according to the following rules: 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; 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: , where is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio; Rule 3: If the adjustment trajectory characteristic is less than the low adjustment threshold, the formula for calculating the production adjustment ratio is: , where is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio; If the production adjustment ratio meets Rule 1, it indicates 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 meets Rule 2, it indicates that the supply chain response is efficient but the processing is lagging, and it is linearly adjusted according to the degree of deviation of the processing rate; if the production adjustment ratio meets Rule 3, it indicates that the supply chain response is lagging, and the adjustment trajectory characteristic and the processing rate of returned products are comprehensively calculated to prevent insufficient adjustment when the processing capacity is extremely low.

[0033] By setting the analysis time to obtain the change situation of the supply chain and combining the weight to analyze the adjustment trajectory characteristic, the fluctuation trend of the supply chain system can be dynamically sensed. At the same time, calculating the production adjustment ratio by comprehensively considering the processing rate of returned products helps to realize the dynamic adjustment of the production plan and the collaborative optimization of the supply chain, and enhances the overall stability and response ability of the system.

[0034] It should be noted that the Pearson correlation coefficient is a statistic used to measure the linear correlation degree between two variables, and its value range is between -1 and 1. It can quantify the linear correlation degree between the supply chain change amount and the average change degree of the weight. By analyzing the adjustment trajectory characteristic through the Pearson coefficient, the response ability of the supply chain strategy and the actual change can be quantified. If the adjustment trajectory characteristic is high, it indicates that the system responds quickly and the strategy is reasonable; if the adjustment trajectory characteristic is 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 amplitude. 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 over-adjustment causing production fluctuations. The preset adjustment experience value is set by professionals, and the method is not unique, so it will not be elaborated here.

[0035] 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: The generated update value is the dynamic correction of the production standard value by the production adjustment ratio. The calculation formula is: , where is the production adjustment ratio, is the generated update value; Different decision rules are set based on the production adjustment ratio to determine whether to adjust the production standard value and select the basis for the final production plan under the adjustment conditions: Determine whether to correct and adjust the current production standard value according to the production adjustment ratio: when the production adjustment ratio is 0, it is judged that the production standard value is not adjusted; when the production adjustment ratio is greater than 0, it is judged that the production standard value is adjusted to the generated update value.

[0036] Furthermore, according to the preset adjustment trigger threshold, select to use the production standard value or the production update value as the basis for the final production plan: when the production adjustment ratio is less than the adjustment trigger threshold, it is judged that the production standard value is used as the basis for the final production plan; when the production adjustment ratio is greater than or equal to the adjustment trigger threshold, it is judged that the generated update value is used as the basis for the final production plan.

[0037] By setting the corresponding production update value through the production adjustment ratio of the marked product and making a choice between the production standard value and the production update value, the dynamic adjustment and control of production parameters can be realized, reducing the loss of overproduction, improving the resource allocation efficiency and the flexibility of production capacity scheduling, and enhancing the adaptive ability and economy of the system.

[0038] It should be noted that the adjustment trigger threshold is set by professionals, and the method is not unique. For example, it is comprehensively set in combination with the marked average return rate, historical data of supply chain fluctuations and factory production capacity redundancy. Products with a high return rate are set with a lower adjustment trigger threshold to trigger production contraction in advance, and products with a low return rate are set with a higher adjustment trigger threshold to avoid production instability caused by frequent adjustments.

[0039] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0040] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application of the technical solution and the inventive constraints. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0041] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0042] As mentioned above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0043] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A collaborative management method for an industrial product supply chain, characterized in that, It includes the following steps: Step S1: Call and identify the labels of industrial products in the factory, access the industrial product information of the factory's cooperative industries to obtain the supply chain information of the labeled product materials, and set supply weights for each supply chain according to the factory's supply chain information; Step S2: Divide the measurement time, collect the product supply volume and product return volume of the labeled products within the measurement time, calculate the product return rate based on the product return volume, and set the production standard value of the labeled products by integrating the product supply volume and the product return rate; Step S3: Set the analysis time to detect the supply chain change situation of the factory, analyze the adjustment trajectory characteristics of the labeled products in combination with the supply chain weights, detect the processing speed of the returned labeled products, and calculate the production adjustment ratio of the labeled products; Step S4: Set the production update value according to the production adjustment ratio of the labeled products and select to provide the production standard value or the production update value of the labeled products.

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

3. An industrial product supply chain collaborative management method according to claim 1, characterized in that: In step S1, supply weights are set for each supply chain according to the factory's supply chain information, and the specific steps are as follows: Quantitatively analyze the supply chain information of the labeled product materials, and set the supply weights of the corresponding suppliers. The calculation formula is: , where is the total supply volume of the i-th supply chain, is the cooperation years of the i-th supply chain, is the preset weight coefficient, n is the total number of supply chains of the labeled product, is the supply weight of the supply chain.

4. An industrial product supply chain collaborative management method according to claim 1, characterized in that: In step S2, by counting the product supply volume and product return volume of the labeled products within the pre-designed measurement time and calculating the production standard value of the labeled products, the specific steps are as follows: Select a period of time as the division time, and obtain the quantity of products supplied and the quantity of products returned for the marked products within the division time, which are respectively marked as , and take the ratio of to as the product return rate.

5. An industrial product supply chain collaborative management method according to claim 4, characterized in that: In step S2, a production standard value for marking products is set by combining the product supply volume and the product return rate, which is used to determine whether production strategy adjustment is required subsequently. The calculation formula is as follows: , where P is the production standard value; The production standard value reflects the comprehensive performance of the supply chain in supplying goods within the divided time.

6. An industrial product supply chain collaborative management method according to claim 1, characterized in that: In step S3, when setting the analysis time, a past period of time is divided into multiple consecutive and equal-length analysis periods, and the supply volume and supply weights of the corresponding supply chains of the labeled products in the current analysis period and the previous analysis period are obtained; The supply volume of the supply chain is used as the change volume of the supply chain, and the calculation formula is: , where is the supply volume in the current analysis period, is the supply volume in the previous analysis period, is the change volume of the supply chain; The difference in the supply weights of the supply chain during the current analysis period and the previous analysis period is used as the supply chain weight change rate and marked as , and the average value of the supply chain weight change rate corresponding to the marked products is used as the average degree of weight change.

7. An industrial product supply chain collaborative management method according to claim 6, characterized in that: In step S3, the number of multiple analysis cycles into which a past period is divided is denoted as m, and the average value of all supply chain change amounts within the m analysis cycles is denoted as , and the average value of the weighted average change degree is denoted as , respectively reflecting the long-term average characteristics of the supply chain change amount and the weighted average change degree; The calculation formula of the Pearson coefficient is as follows: , where r is the adjustment trajectory feature.

8. An industrial product supply chain collaborative management method according to claim 7, characterized in that: In step S3, the production adjustment ratio is dynamically calculated according to the following rules by integrating the adjustment trajectory characteristics and the processing rate of the returned products: 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 feature exceeds the preset adjustment threshold and the product processing rate is less than the processing rate threshold, the formula for calculating the production adjustment ratio is: , where is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio; Rule 3: If the adjustment trajectory feature is less than the adjustment threshold, the formula for calculating the production adjustment ratio is: , where is the processing rate threshold, is the preset adjustment experience value, is the production adjustment ratio.

9. An industrial product supply chain collaborative management method according to claim 8, characterized in that: In step S4, by integrating the production adjustment ratio and the production standard value, the production update value of the labeled products 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, and the specific content is as follows: The generated update value is the dynamic correction of the production standard value by the production adjustment ratio, and the calculation formula is: , where is the production adjustment ratio, is the generated update value; Determine whether to correct and adjust the current production standard value according to the production adjustment ratio: when the production adjustment ratio is 0, directly provide the production standard value without adjustment; when the production adjustment ratio is greater than 0, adjust the production standard value to the generated updated value for provision.

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