Textile flexible production industry chain digital collaborative management system

Abstract

This invention discloses a digital collaborative management system for the flexible textile production chain, relating to the field of textile production technology. The invention includes a data acquisition module, a data analysis module, a batch management module, a production module, and a database. First, based on sales information, return information, and remaining inventory of each flexible product, it determines whether each flexible product needs to be produced. The flexible products requiring production are referred to as "marked flexible products." Second, the raw materials required for each marked flexible product are acquired. The requirements of the raw materials for each marked flexible product on the production process and the mutual influence between the raw materials required for each marked flexible product are analyzed. Then, based on the analysis results, production batches for each marked flexible product are set, and finally, production is carried out. This reduces the frequency of inventory backlog and ensures the quality and production rate of flexible products.

Description

Technical Field

[0001] This invention relates to the field of textile production technology, specifically to a digital collaborative management system for the flexible textile production supply chain. Background Technology

[0002] As a traditional pillar industry of the national economy, an important industry for people's livelihood, and an industry with international competitive advantage, the textile industry has long played a key role in ensuring people's livelihood, boosting consumption, and promoting international trade. In recent years, with the upgrading of the consumer market, the intensification of industry competition, and the transformation of the global consumer market due to technological innovation, the traditional textile production model and management system have become difficult to adapt to the development needs of the new era.

[0003] Traditional digital collaborative management systems for flexible textile production supply chains operate the warehousing, sales, returns, and production systems for flexible products independently. They determine whether production is needed based on the remaining inventory and sales volume of flexible products, and randomly set production batches for flexible products. Obviously, this type of digital collaborative management system for flexible textile production supply chains has at least the following shortcomings: 1. When producing flexible products, traditional digital collaborative management systems for flexible textile production supply chains only rely on the remaining inventory and sales volume to determine whether production is needed, ignoring the return rate of flexible products, which can easily lead to inventory backlog.

[0004] 2. When the raw materials used in adjacent production batches of flexible products are different, the residual raw materials on the production line will have a certain impact on the quality of the next production batch of flexible products, making it impossible to guarantee the quality of flexible products. In addition, different flexible products have different functions, and consequently, different process parameter values. If the adjustment range of the process parameter values ​​is too large, it may have a certain impact on the production equipment on the production line and affect the production rate. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a digital collaborative management system for the flexible textile production industry chain.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a digital collaborative management system for the flexible textile production industry chain, including: a data acquisition module, a data analysis module, a batch management module, a production module, and a database.

[0007] The data acquisition module is used to obtain sales information, return information and remaining inventory of each flexible product from the database.

[0008] The data analysis module is used to determine whether the inventory of each flexible product is sufficient based on the sales information, return information and remaining inventory of each flexible product. Flexible products with insufficient inventory are referred to as marked flexible products, and the raw materials required for the production of each marked flexible product are obtained.

[0009] The batch management module is used to obtain the production raw materials required for each marked flexible product, and to obtain the information on the production raw materials required for each marked flexible product, and to determine the production batch of each marked flexible product based on the information on the production raw materials required for each marked flexible product.

[0010] The production module is used to produce each marked flexible product in accordance with the production batch of each marked flexible product.

[0011] The database is used to store sales information, return information, remaining inventory, required quality grade, and historical production information for each flexible product.

[0012] The beneficial effects of this invention are as follows: 1. This invention provides a digital collaborative management system for the flexible textile production chain. First, based on the sales information, return information, and remaining inventory of each flexible product, it determines whether each flexible product needs to be produced. The flexible products that need to be produced are referred to as marked flexible products. Second, the raw materials required for each marked flexible product are obtained. The requirements of the raw materials required for each marked flexible product on the production process and the mutual influence between the raw materials required for each marked flexible product are analyzed. Then, based on the analysis results, the production batches of each marked flexible product are set, and finally, production is carried out. This reduces the frequency of inventory backlog and ensures the quality and production rate of flexible products.

[0013] 2. This invention obtains the current sales season of each flexible product, the time period of each flexible product within its sales season, and its sales volume. It retrieves the sales volume of each flexible product within each time period of its historical sales seasons from the database. For a specific flexible product, it obtains its historical sales information, predicts the sales volume of the flexible product for the following week, and refers to this as the marked sales volume of the flexible product. It also obtains the remaining inventory, return rate, and time required to receive returns for the flexible product. If the time required to receive returns exceeds one week, it determines whether the inventory of the flexible product is sufficient based on the remaining inventory and marked sales volume. If the time required to receive returns is less than one week, it determines the return volume of the marked product based on the return rate and the sales volume of the past week. Based on the return volume, remaining inventory, and marked sales volume of the flexible product, it determines whether the inventory of the flexible product is sufficient. This method of determining whether the inventory of each flexible product is sufficient reduces the frequency of inventory backlog.

[0014] 3. This invention retrieves the required quality level of each marked flexible product during the current production from the database, and simultaneously retrieves historical production information for each marked flexible product from the database. It analyzes the required values ​​of process parameters for each marked flexible product during the current production, using these values ​​as the production process requirements for each marked raw material. The invention also analyzes the mutual influence between each marked raw material in a simulation platform, and then retrieves the required values ​​of process parameters for each marked flexible product during the current production and the mutual influence between each marked raw material. Furthermore, it retrieves the production raw materials and process parameter values ​​used in the most recent flexible product production from the database, determines the production batch of each marked flexible product, and ensures the quality and production rate of the flexible products. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0017] Figure 2 This is a schematic diagram of the unit connections of the batch management module in this invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Please see Figure 1 As shown, the present invention provides a digital collaborative management system for the flexible textile production industry chain, including: a data acquisition module, a data analysis module, a batch management module, a production module, and a database.

[0020] The data acquisition module is connected to the data analysis module, the data analysis module is connected to the batch management module, the batch management module is connected to the production module, and the database is connected to the data acquisition module, the data analysis module, and the batch management module.

[0021] The data acquisition module is used to obtain sales information, return information and remaining inventory of each flexible product from the database.

[0022] It should be noted that flexible products include flexible sensors, flexible batteries, and textile materials with special functions. Among them, textile materials with special functions include thermoregulatory materials, soft and wrinkle-resistant materials, and flame-retardant materials.

[0023] It should also be noted that the sales information for each flexible product includes the current sales season for each flexible product, the time period within that sales season for each flexible product, and the sales volume.

[0024] The sales season includes peak season and off-season.

[0025] It's important to know that merchants divide the sales season into multiple time periods, and the specific division of these time periods is determined by the merchants themselves.

[0026] It should also be noted that the return information for each flexible product includes the return rate and the time required to receive returns.

[0027] The data analysis module is used to determine whether the inventory of each flexible product is sufficient based on the sales information, return information and remaining inventory of each flexible product. Flexible products with insufficient inventory are referred to as marked flexible products, and the raw materials required for the production of each marked flexible product are obtained.

[0028] In a specific embodiment, the process of determining whether the inventory of each flexible product is sufficient is as follows: obtain the current sales season of each flexible product, the time period of each flexible product within its sales season, and the sales volume; and obtain the sales volume of each flexible product within each time period of its historical sales seasons from the database.

[0029] For a specific flexible product, the sales volume of the flexible product in each period of each historical sales season is obtained. The sales volume of the flexible product in the following week is predicted and referred to as the marked sales volume of the flexible product. The remaining inventory, return rate, and time required to receive returns of the flexible product are obtained. If the time required to receive returns exceeds one week, the inventory level of the flexible product is judged to be sufficient based on the remaining inventory and marked sales volume. If the time required to receive returns is less than one week, the return volume of the marked product is determined based on the return rate and the sales volume of the past week. The inventory level of the flexible product is judged to be sufficient based on the return volume, remaining inventory, and marked sales volume. This method is used to determine whether the inventory level of each flexible product is sufficient.

[0030] It should be noted that when the time required to receive returns exceeds one week, the remaining inventory of flexible products is compared with the marked sales volume. If the remaining inventory of flexible products is greater than the marked sales volume, it means that the inventory of flexible products is sufficient; otherwise, it means that the inventory of flexible products is insufficient. When the time required to receive returns is less than one week, the remaining inventory of flexible products is added to the returned quantity to obtain the remaining quantity of flexible products. If the remaining quantity is greater than the marked sales volume, it means that the inventory of flexible products is sufficient; otherwise, it means that the inventory of flexible products is insufficient.

[0031] The specific process for predicting the sales volume of the flexible product next week is as follows: Based on the historical sales volume of the flexible product in each sales season and time period, determine the sales volume trend of the flexible product in different sales seasons, and construct a sales season-sales volume trend table for the flexible product. Match the current sales season of the flexible product with the sales season-sales volume trend table to obtain the current sales volume trend of the marked flexible product. Based on the current sales volume trend of the marked flexible product and the sales volume of the flexible product in its current sales season and time period, predict the sales volume of the flexible product next week.

[0032] It should be noted that, within a specific historical sales season for this flexible product, the sales volume of the flexible product for each time period within that sales season is obtained. An RNN (Recurrent Neural Network) is used to determine the trend of sales volume changes within that sales season. The RNN is an existing technology. The specific process is as follows: First, the sales volume of the flexible product for each time period within the historical sales season is normalized. Then, a time-series sample is constructed using a sliding window. Next, an LSTM model is constructed, including a first LSTM layer, a second LSTM layer, and a fully connected layer. The LSTM model is trained using a set training set, a test set, and a validation set. After training, the processed sales volume of the flexible product for each time period within the historical sales season is input into the LSTM model, and the trend of sales volume changes within that sales season is output. This method is used to determine the trend of sales volume changes of the flexible product in different sales seasons.

[0033] The batch management module is used to obtain the production raw materials required for each marked flexible product, and to obtain the information on the production raw materials required for each marked flexible product, and to determine the production batch of each marked flexible product based on the information on the production raw materials required for each marked flexible product.

[0034] It should be noted that the information on the raw materials required for each flexible marking product refers to the requirements of the raw materials required for each flexible marking product on the production process and the influence between the raw materials required for each flexible marking product.

[0035] It should also be noted that the raw materials used in production include natural flexible fibers, chemically-based flexible fibers, bio-based flexible fibers, and conductive flexible materials. The specific raw materials required for each flexible marking product are determined by the supplier.

[0036] Please see Figure 2 As shown, in a specific embodiment, the batch management module includes a raw material analysis unit and a production batch setting unit.

[0037] The raw material analysis unit is used to refer to the production raw materials required for each labeled flexible product as the labeling raw materials for each labeled flexible product, analyze the requirements of each labeling raw material on the production process, and analyze the mutual influence between each labeling raw material.

[0038] In a specific embodiment, the analysis of the production process requirements of each marking raw material is carried out as follows: the required quality level of each marked flexible product during this production is obtained from the database, and the historical production information of each marked flexible product is also obtained from the database. Based on the required quality level of each marked flexible product during this production, the historical production of each marking of each marked flexible product is determined. Based on the information of the historical production of each marking of each marked flexible product, the required values ​​of the process parameters of each marked flexible product during this production are analyzed and used as the production process requirements of each marking raw material.

[0039] It should be noted that the required quality level for each marked flexible product during this production process was set by the supplier.

[0040] It should also be noted that the historical production information for each labeled flexible product includes the quality grade of the labeled flexible product at each historical production, the quality compliance rate of the labeled flexible product, and the values ​​of the process parameters used.

[0041] It should be explained that the quality grade of the flexible marking product is set by the staff based on the quality inspection of the flexible marking product. The higher the quality grade, the better the quality of the flexible marking product.

[0042] The quality testing requirements may differ for different flexible products. For example, when a flexible product is labeled as a temperature-regulating material, the quality testing includes temperature regulation response time testing, temperature regulation cycle stability testing, flexibility and softness testing, and water wash resistance stability testing. This example is for illustrative purposes only and is not the only valid approach.

[0043] It should also be explained that the process parameters for flexible products include fiber ratio, twist, temperature and humidity, warp tension, weft insertion speed, dyeing temperature, sewing pressure, and flexible circuit soldering temperature, etc.

[0044] The specific process for analyzing the required process parameters of each marked flexible product during this production is as follows: For a certain marked flexible product, obtain the quality grade of the marked flexible product in each historical production. The historical productions with the same quality grade as the required quality grade of the marked flexible product in this production are called each marked historical production. Obtain the quality compliance rate of the marked flexible product in each marked historical production and compare them. The marked historical production with the highest quality compliance rate is called the secondary marked historical production. The process parameter values ​​used in the secondary marked historical production are used as the required process parameter values ​​of the flexible product in this production. This method is used to obtain the required process parameter values ​​of each marked flexible product in this production.

[0045] In another specific embodiment, the analysis of the mutual influence between the labeled raw materials is carried out as follows: the labeled raw materials are randomly combined in pairs to obtain the raw material combinations, and a simulation platform is built to simulate the production of flexible products. Several simulation groups are set in the simulation platform, and the raw material combinations are applied in each simulation group.

[0046] It should be noted that the simulation platform is built using simulation simulation software, and the specific simulation simulation software used is selected by the designer.

[0047] In a certain simulation group, two labeled raw materials used in the raw material combination of the simulation group are used to produce corresponding labeled flexible products in sequence. The last labeled flexible product produced is called the flexible product to be analyzed. The quality grade of the flexible product to be analyzed is obtained by quality inspection, and the return value of the flexible product to be analyzed is determined. If the return value is 1, it means that the influence between the two labeled raw materials used in the raw material combination of the simulation group is small. If the return value is 0, it means that the influence between the two labeled raw materials used in the raw material combination of the simulation group is large. This method is used to analyze the mutual influence between the labeled raw materials.

[0048] The specific process for determining the return value of the flexible product to be analyzed is as follows: The quality grade of the flexible product to be analyzed is compared with the quality grade required for the flexible product to be analyzed during this production. If the quality grade of the flexible product to be analyzed is greater than or equal to the quality grade required for the flexible product to be analyzed during this production, the return value of the flexible product to be analyzed is 1; otherwise, the return value of the flexible product to be analyzed is 0.

[0049] The production batch setting unit is used to obtain the requirements of each marking raw material for the production process and the mutual influence between each marking raw material, and to set the production batch of each marked flexible product according to the requirements of each marking raw material for the production process and the mutual influence between each marking raw material.

[0050] In a specific embodiment, the process of setting the production batch of each marked flexible product is as follows: A11. Obtain the required values ​​of the process parameters of each marked flexible product during this production and the mutual influence between each marking raw material. Obtain the production raw materials and process parameter values ​​used in the most recent production of flexible products from the database and refer to them as the adjacent raw materials and adjacent process parameter values. Based on the adjacent raw materials and adjacent process parameter values, determine the production batch as the first batch of marked flexible products.

[0051] A12. The required values ​​of the marking raw materials and process parameters for the first batch of marked flexible products are called the adjacent raw materials and adjacent process parameters. Other marked flexible products are called each flexible product to be allocated. Repeat step A11 to determine the marked flexible products for the second batch from each flexible product to be allocated.

[0052] A13. The required values ​​of the marking raw materials and process parameters for the second batch of the marked flexible products are called the adjacent raw materials and process parameters adjacent values. Repeat steps A11-A12 until the production batches of each marked flexible product are all set.

[0053] The process for determining the first batch of labeled flexible products in the above-mentioned production batch is as follows: Analyze the influence of adjacent raw materials on each labeled raw material, and refer to each labeled raw material with a small influence as each secondary labeled raw material. Obtain the required values ​​of the process parameters for each secondary labeled raw material, calculate the difference between the required values ​​of the process parameters for each secondary labeled raw material and the adjacent values ​​of the process parameters, and refer to this difference as the labeled value of each secondary labeled raw material. Compare the labeled values ​​of each secondary labeled raw material, and select the secondary labeled raw material with the smallest labeled value as the first batch of labeled flexible products in the production batch.

[0054] It should be noted that the analytical method for the influence of adjacent raw materials on each labeled raw material is the same as the analytical method for the mutual influence between each labeled raw material.

[0055] The production module is used to produce each marked flexible product in accordance with the production batch of each marked flexible product.

[0056] The database is used to store sales information, return information, remaining inventory, required quality grade, and historical production information for each flexible product.

[0057] This invention first determines whether each flexible product needs to be produced based on its sales, return, and remaining inventory information. The flexible products requiring production are designated as "marked flexible products." Next, the raw materials required for each marked flexible product are obtained. The requirements of these raw materials on the production process and the interactions between them are analyzed. Based on the analysis results, production batches for each marked flexible product are set, and production is then carried out. This reduces the frequency of inventory backlog and ensures both the quality and production speed of the flexible products.

[0058] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.

[0059] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A digital collaborative management system for the flexible textile production supply chain, characterized in that, Includes the following modules: The data acquisition module is used to retrieve sales information, return information, and remaining inventory of each flexible product from the database; The data analysis module is used to determine whether the inventory of each flexible product is sufficient based on the sales information, return information and remaining inventory of each flexible product. Flexible products with insufficient inventory are called marked flexible products, and the production raw materials required for each marked flexible product are obtained. The batch management module is used to obtain the production raw materials required for each marked flexible product, and to obtain the information on the production raw materials required for each marked flexible product. Based on the information on the production raw materials required for each marked flexible product, the production batch of each marked flexible product is determined. The production module is used to produce each marked flexible product according to the production batch of each marked flexible product; The database is used to store sales information, return information, remaining inventory, required quality level, and historical production information for each flexible product.

2. The digital collaborative management system for the flexible textile production chain according to claim 1, characterized in that, The specific process for determining whether the inventory of each flexible product is sufficient is as follows: Get the current sales season of each flexible product, the time period of each flexible product within its sales season, and the sales volume. Retrieve the sales volume of each flexible product within each time period of its historical sales seasons from the database. For a specific flexible product, the sales volume of the flexible product in each period of each historical sales season is obtained. The sales volume of the flexible product in the following week is predicted and referred to as the marked sales volume of the flexible product. The remaining inventory, return rate, and time required to receive returns of the flexible product are obtained. If the time required to receive returns exceeds one week, the inventory level of the flexible product is judged to be sufficient based on the remaining inventory and marked sales volume. If the time required to receive returns is less than one week, the return volume of the marked product is determined based on the return rate and the sales volume of the past week. The inventory level of the flexible product is judged to be sufficient based on the return volume, remaining inventory, and marked sales volume. This method is used to determine whether the inventory level of each flexible product is sufficient.

3. The digital collaborative management system for the flexible textile production chain according to claim 2, characterized in that, The specific process for predicting the sales volume of the flexible product next week is as follows: Based on the sales volume of the flexible product in each sales season and time period in history, the trend of sales volume change of the flexible product in different sales seasons is determined, and a sales season-sales volume change trend table of the flexible product is constructed. The current sales season of the flexible product is matched with the sales season-sales volume change trend table of the flexible product to obtain the current sales volume change trend of the marked flexible product. Based on the current sales volume change trend of the marked flexible product and the sales volume of the flexible product in the time period of its sales season, the sales volume of the flexible product next week is predicted.

4. The digital collaborative management system for the flexible textile production chain according to claim 1, characterized in that, The batch management module includes a raw material analysis unit and a production batch setting unit; The raw material analysis unit is used to refer to the production raw materials required for each labeled flexible product as the labeling raw materials for each labeled flexible product, analyze the requirements of each labeling raw material on the production process, and analyze the mutual influence between each labeling raw material. The production batch setting unit is used to obtain the requirements of each marking raw material for the production process and the mutual influence between each marking raw material, and to set the production batch of each marked flexible product according to the requirements of each marking raw material for the production process and the mutual influence between each marking raw material.

5. The digital collaborative management system for the flexible textile production chain according to claim 4, characterized in that, The analysis of the production process requirements for each labeled raw material is as follows: The required quality level for each marked flexible product during this production is obtained from the database. At the same time, information on the historical production of each marked flexible product is also obtained from the database. Based on the required quality level for each marked flexible product during this production, the historical production of each mark for each marked flexible product is determined. Based on the information on the historical production of each mark for each marked flexible product, the required values ​​of the process parameters for each marked flexible product during this production are analyzed and used as the production process requirements for each mark raw material.

6. The digital collaborative management system for the flexible textile production chain according to claim 5, characterized in that, The specific process for analyzing the required values ​​of the process parameters for each marked flexible product during this production is as follows: In a specific labeled flexible product, the quality grade of the labeled flexible product in each historical production is obtained. Each historical production with the same quality grade as the required quality grade of the labeled flexible product in the current production is called a labeled historical production. The quality compliance rate of the labeled flexible product in each labeled historical production is obtained and compared. The labeled historical production with the highest quality compliance rate is called the secondary labeled historical production. The process parameter values ​​used in the secondary labeled historical production are used as the required process parameter values ​​for the flexible product in the current production. In this way, the required process parameter values ​​for each labeled flexible product in the current production are obtained and analyzed.

7. The digital collaborative management system for the flexible textile production chain according to claim 4, characterized in that, The analysis of the interactions between the labeled raw materials is carried out in the following specific process: Each labeled raw material is randomly combined in pairs to obtain various raw material combinations. A simulation platform is built to simulate the production of flexible products. Several simulation groups are set up in the simulation platform, and each raw material combination is applied to each simulation group. In a certain simulation group, two labeled raw materials used in the raw material combination of the simulation group are used to produce corresponding labeled flexible products in sequence. The last labeled flexible product produced is called the flexible product to be analyzed. The quality grade of the flexible product to be analyzed is obtained by quality inspection, and the return value of the flexible product to be analyzed is determined. If the return value is 1, it means that the influence between the two labeled raw materials used in the raw material combination of the simulation group is small. If the return value is 0, it means that the influence between the two labeled raw materials used in the raw material combination of the simulation group is large. This method is used to analyze the mutual influence between the labeled raw materials.

8. The digital collaborative management system for the flexible textile production chain according to claim 7, characterized in that, The specific process for determining the return value of the flexible product to be analyzed is as follows: The quality grade of the flexible product to be analyzed is compared with the quality grade required for the flexible product to be analyzed during this production. If the quality grade of the flexible product to be analyzed is greater than or equal to the quality grade required for the flexible product to be analyzed during this production, the return value of the flexible product to be analyzed is 1; otherwise, the return value of the flexible product to be analyzed is 0.

9. The digital collaborative management system for the flexible textile production chain according to claim 4, characterized in that, The specific process for setting the production batch of each marked flexible product is as follows: A11. Obtain the required values ​​of process parameters for each marked flexible product during this production and the mutual influence between each marked raw material. Obtain the production raw materials and process parameter values ​​used in the most recent production of flexible products from the database and refer to them as adjacent raw materials and adjacent process parameter values. Based on the adjacent raw materials and adjacent process parameter values, determine the production batch as the first batch of marked flexible products. A12. The required values ​​of the marking raw materials and process parameters for the first batch of marked flexible products are called the adjacent raw materials and adjacent process parameters. Other marked flexible products are called each flexible product to be allocated. Repeat step A11 to determine the marked flexible products for the second batch from each flexible product to be allocated. A13. The required values ​​of the marking raw materials and process parameters for the second batch of the marked flexible products are called the adjacent raw materials and process parameters adjacent values. Repeat steps A11-A12 until the production batches of each marked flexible product are all set.

10. The digital collaborative management system for the flexible textile production chain according to claim 9, characterized in that, The specific process for determining the production batch of the marked flexible products as the first batch is as follows: Analyze the impact of adjacent raw materials on each labeled raw material, and refer to the labeled raw materials with the smallest impact as each secondary labeled raw material. Obtain the required values ​​of the process parameters for each secondary labeled raw material, calculate the difference between the required values ​​of the process parameters for each secondary labeled raw material and the adjacent values ​​of the process parameters, and refer to this difference as the labeled value of each secondary labeled raw material. Compare the labeled values ​​of each secondary labeled raw material, and select the secondary labeled raw material with the smallest labeled value as the first batch of labeled flexible products for production.

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