A multi-process coordination method for discrete manufacturing
By implementing unique coding management for factories and specialized process categories and compiling process routes, the problem of data silos in multi-process collaboration in discrete manufacturing has been solved, achieving clarity and efficiency improvement in process flow.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DONGFANG TURBINE CO LTD
- Filing Date
- 2026-01-29
- Publication Date
- 2026-06-19
AI Technical Summary
In discrete manufacturing, multi-process collaboration often relies on manual integration, leading to data silos and information gaps, which affect manufacturing efficiency and increase costs.
By adopting a data-driven production management model, unique coding management is implemented for factories and professional process categories, process routes are compiled, and process tasks are decomposed and connected to form a complete process flow centered on the product.
It achieves clarity and standardization of the process flow, eliminates data silos and information gaps, improves manufacturing efficiency and reduces costs.
Smart Images
Figure SMS_1 
Figure SMS_2 
Figure SMS_3
Abstract
Description
Technical Field
[0001] This invention relates to the field of process design technology, specifically a multi-process collaborative method for discrete manufacturing. Background Technology
[0002] Process design refers to the process of developing a reasonable technological flow and operating methods during product manufacturing, based on the product's functional, performance, and quality requirements, and taking into account production equipment, materials, and technology. Therefore, industrial design is a highly specialized technical field.
[0003] Most companies categorize their process design by specialized processes, such as machining, welding, heat treatment, and casting. When a product's manufacturing process involves the intersection of multiple specialized processes, certain rules are needed to connect these different processes—that is, multi-process collaboration—to form a complete process flow centered on the product. This includes the product's manufacturing steps, the factory, workshop, equipment, and working hours, as well as all necessary resources such as tooling, auxiliary materials, and raw materials, all stored as structured data. This is particularly prominent in large discrete manufacturing enterprises. In discrete manufacturing, multi-process collaboration environments are commonly found in: - The same product involves multiple specialized processes within a factory, such as welding and machining processes running in parallel; - The same product is processed in different factories, such as welding in one factory, processing in another factory, and then returning to the first factory for welding. - The same product is produced in different factories, and one or more of these factories involve multiple specialized processes.
[0004] For a long time, multi-process collaboration has typically been achieved through manual integration by professionals based on subjective experience. This approach clearly fails to meet the current technical requirements for enterprise intelligence and digitalization. Moreover, due to the data silos and information gaps inherent in manual integration, processes are prone to stalling and unclear collaborative responsibilities, directly impacting manufacturing efficiency and increasing manufacturing costs. Summary of the Invention
[0005] The technical objective of this invention is to provide a multi-process collaboration method for discrete manufacturing, which is based on the special characteristics of multi-process collaboration in discrete manufacturing and the shortcomings of existing technologies. This method is conducive to the intelligent and digital construction of enterprises and can improve manufacturing efficiency and reduce manufacturing costs.
[0006] The technical objective of this invention is achieved through the following technical solution: a multi-process collaborative method for discrete manufacturing, comprising the following steps: S1. Implement unique coding management for each factory involved in the enterprise; Each category of specialized manufacturing process is uniquely coded and managed. S2. Based on the current product structure, determine the factory and required professional process categories to meet the manufacturing needs of the product, and complete the process route compilation using the factory and professional process category codes; S3. According to the process route, decompose the process tasks of each factory's professional process category and assign them sequence segment numbers; S4. According to the process route and the sequence number of the process steps of the professional process categories involved in each factory, connect the processes of all professional process categories of all factories to form a complete process flow with the product as the object.
[0007] Furthermore, in S1, the factory's coding is independent of the coding of the specialty process category.
[0008] Furthermore, in S2, if the current factory has multiple professional process categories, the process route is compiled by combining the main professional process category and the auxiliary professional process category.
[0009] Furthermore, in S2, if the current factory has multiple professional process categories, the professional process category number is carried in brackets by the factory number in the process route compilation.
[0010] Furthermore, in S3, if the current factory has multiple professional process categories, then in the process decomposition of the main professional process category, identifiable process positions are reserved for insertion into external professional process categories or auxiliary professional process categories.
[0011] Furthermore, based on S3, when performing the complete connection of all professional process categories in S4, the externally transferred professional process category or auxiliary professional process category is inserted into the reserved identifiable process position of the main professional process category.
[0012] Furthermore, when forming a complete process flow for a product, the identification process location information used as an insertion point is filtered out, resulting in a complete process flow containing only manufacturing process information.
[0013] Furthermore, the discrete manufacturing refers to large-scale discrete manufacturing involving multiple factories and cross-operations of multiple professional process categories.
[0014] Furthermore, the discrete manufacturing is steam turbine manufacturing.
[0015] The beneficial technical effects of this invention are as follows: Addressing the unique characteristics of multi-process collaboration in discrete manufacturing, the above-mentioned technical measures assign unique identification codes to each factory and each specialized process category involved in discrete manufacturing. Based on these identification codes and the factories and specialized process categories involved in the current product manufacturing, process routes are compiled. Under the process routes, specific specialized process categories are decomposed into steps. Based on the process routes and the decomposed step numbers of each specialized process category, a complete process flow centered on the product is formed. This creates a data-driven production management model, making multi-process collaboration in discrete manufacturing beneficial to the technical requirements of enterprise intelligent and digital construction. It ensures clear and standardized process flows, thereby eliminating data silos and information gaps, improving the efficiency of discrete manufacturing, and reducing its costs. Detailed Implementation
[0016] This invention relates to the field of process design technology, specifically a multi-process collaborative method for discrete manufacturing. The main technical solution of this invention will be described in detail below. Furthermore, the terms "approximately" or "basically" used in the following text regarding quantities or matching relationships mean that reasonable assembly and processing errors are allowed within the industry, and do not literally describe absolute quantities or matching relationships.
[0017] This invention relates to a multi-process collaborative method for large-scale discrete manufacturing involving multiple factories and cross-disciplinary processes—such as steam turbine manufacturing. This multi-process collaborative method includes the following steps: S1. Implement unique coding management for each factory involved in the enterprise, such as factory 01, factory 02, factory 03, etc. based on numerical coding; Each type of specialized process required for manufacturing is uniquely coded and managed, for example, K represents welding process, H represents heat treatment process, A represents machining process, etc. It is evident that the coding logic and sequence of the factory are completely independent of the coding logic and sequence of the professional process categories, which facilitates easy identification and coordination during subsequent process route planning. S2. Based on the coding management of S1 above, determine the factory and professional process category required to manufacture the product according to the current product structure, and complete the process route compilation with the factory and professional process category codes, for example 01-02(K)-03-01; If the current factory has multiple professional process categories, the process route is compiled by combining the main professional process category and the auxiliary professional process category. Specifically, the professional process category number is carried in parentheses by the factory number, for example, 02(K). S3. According to the process route, decompose the process tasks of each factory's professional process category and assign them sequence segment numbers; If the current factory has multiple professional process categories, then in the process decomposition of the main professional process category, reserve identifiable process positions that can be inserted by external or auxiliary professional process categories. For example, the insertion position for external professional process categories can be marked as "intermediate transfer process", and the insertion position for auxiliary professional process categories can be marked as "intermediate process" to facilitate sequential integration. S4. According to the process route and the process sequence number of the professional process categories involved in each factory, insert the external professional process category or auxiliary professional process category into the reserved identifiable process position of the main professional process category process, that is, to completely connect the processes of the professional process categories of all factories. A complete process flow with the product as the object is formed. When forming a complete process flow with the product as the object, the identification process position information used as the insertion position identification is filtered out, and a complete process flow containing only manufacturing process flow information is formed.
[0018] Based on the above-mentioned multi-process collaboration method involving multiple factories and multiple professional process categories, the following example illustrates the approach.
[0019] Suppose a product needs to be transferred between three factories. In the second factory, two specialized processes are involved: welding and machining, with welding being an auxiliary process. Further assume that the factory coding and specialized process category coding in discrete manufacturing follow the logic of S1 above, meaning the product is transferred between factories 01, 02, and 03, with welding (K) and machining processes performed in factory 02, and welding (K) being a secondary process. Then: According to S2 above, the manufacturing process route for this product is 01-02(K)-03-01; According to S3 above, the professional process categories involved in factories 01, 02, and 03 are decomposed into work processes and assigned sequence segment numbers, as shown in Tables 1 to 4 below: Table 1. Process Task Breakdown and Sequence Numbers for Specialized Processes in Factory 01 Table 2. Process Task Breakdown and Sequence Numbers for Specialized Processes in Factory 02 Table 3. Process Task Breakdown and Sequence Numbers for Specialized Processes in Factory 02 Table 4. Process Task Breakdown and Sequence Numbers for Specialized Processes in Factory 03 According to S4 above, the processes of all the professional process categories of all factories are completely connected in series. In the connection, the welding process of factory 02 is inserted into the "intermediate process" mark of the processing process of factory 02, forming the following Table 5. Table 5. Process Sequencing Results for Specialized Process Categories in Factories 01, 02, and 03 According to S4 above, the concatenation results shown in Table 5 are used to form a complete process flow with the product as the object. When forming a complete process flow with the product as the object, the identification process position information used as the insertion position identification is filtered out, and a complete process flow containing only manufacturing process flow information is formed, as shown in Table 6 below. Table 6 presents the results shown in Table 5, forming a complete process flow for the product. Thus, for cross-operations involving multiple factories and various professional processes, a data-driven multi-process collaboration is formed. Its final release allows managers in each factory to clearly understand the specific procedures to be performed within their factory, thereby enabling each factory to implement product-oriented production and financial management. The above specific technical solutions are only used to illustrate the invention and are not intended to limit it.
[0020] Although the present invention has been described in detail with reference to the specific technical solutions described above, those skilled in the art should understand that modifications can still be made to the specific technical solutions described above, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the present invention.
Claims
1. A multi-process collaborative method for discrete manufacturing, characterized in that, The multi-process collaborative method includes the following steps: S1. Implement unique coding management for each factory involved in the enterprise; Each category of specialized manufacturing process is uniquely coded and managed. S2. Based on the current product structure, determine the factory and required professional process categories to meet the manufacturing needs of the product, and complete the process route compilation using the factory and professional process category codes; S3. According to the process route, decompose the process tasks of each factory's professional process category and assign them sequence segment numbers; S4. According to the process route and the sequence number of the process steps of the professional process categories involved in each factory, connect the processes of all professional process categories of all factories to form a complete process flow with the product as the object.
2. The multi-process collaborative method for discrete manufacturing according to claim 1, characterized in that, In S1, the factory's coding is independent of the coding of the specialty process category.
3. The multi-process collaborative method for discrete manufacturing according to claim 1, characterized in that, In S2, if the current factory has multiple professional process categories, the process route is compiled by combining the main professional process category and the auxiliary professional process category.
4. The multi-process collaborative method for discrete manufacturing according to claim 3, characterized in that, In S2, if the current factory has multiple professional process categories, the professional process category number is carried in parentheses by the factory number when compiling the process route.
5. The multi-process collaborative method for discrete manufacturing according to claim 1, characterized in that, In S3, if the current factory has multiple professional process categories, then in the process decomposition of the main professional process category, a recognizable process position is reserved for insertion into external professional process categories or auxiliary professional process categories.
6. The multi-process collaborative method for discrete manufacturing according to claim 5, characterized in that, Based on S3, when performing the complete connection of all professional process categories in S4, the external professional process category or auxiliary professional process category is inserted into the reserved identifiable process position of the main professional process category.
7. The multi-process collaborative method for discrete manufacturing according to claim 6, characterized in that, When forming a complete process flow for a product, the identification process location information used as an insertion point is filtered out, resulting in a complete process flow containing only manufacturing process information.
8. The multi-process collaborative method for discrete manufacturing according to any one of claims 1 to 7, characterized in that, Discrete manufacturing refers to large-scale discrete manufacturing involving multiple factories and cross-operations of multiple professional process categories.
9. The multi-process collaborative method for discrete manufacturing according to claim 8, characterized in that, The discrete manufacturing refers to steam turbine manufacturing.