A method of providing optimal production path equipment selection

Abstract

The application relates to the technical field of product process management, and discloses a method for providing optimal production path equipment selection, which comprises the following steps: establishing a process equipment constraint configuration table, a process equipment constraint maintenance table and a product implementation table in a process equipment database; when a product enters a product process flow, corresponding process equipment is configured for the product, and the equipment constraint maintenance table is maintained; the product specification of the product entering the product process flow is acquired, all production paths of the product are acquired, the equipment constraint maintenance table and the product implementation table are updated; an optimal path algorithm is preset, the weights of time and efficiency in the production specification of the product are configured, each item of a deviation value list and the process time of each process equipment required by the process equipment corresponding to the product are configured, the production path score of each product is calculated, the path with the highest score is obtained as the optimal path, and the product implementation table is updated. The application provides a method for realizing optimal paths of products in the process of passing through multiple devices.

Description

Technical Field

[0001] The present invention relates to the technical field of product process management, and in particular to a method for providing optimal production path equipment selection, which is used to provide a method for achieving an optimal path for a product during its passage through multiple devices. Background Art

[0002] In existing technologies, each process involves multiple devices, and products flow between processes. Essentially, products are moving between devices. The commonly used MES product process management method, when the processing standard deviation of each process equipment is known, cannot plan routes or determine the optimal selection of equipment for different processes.

[0003] In the manufacturing process with multiple processes, multiple steps and multiple techniques, especially taking LCD panel production as an example, the present invention provides a method for achieving the optimal path of a product during its passage through multiple devices, which can reduce the quality problems caused by the accumulation of manufacturing errors of multiple process equipment before and after, and can not only improve the product yield, but also improve production efficiency and increase production capacity while ensuring a certain quality. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for selecting equipment for an optimal production path, realizing the function of selecting the optimal path during the movement of multiple devices, and having the effect of improving production efficiency and increasing production capacity while ensuring a certain quality.

[0005] The present invention is implemented through the following technical solution: A method for providing optimal production path equipment selection, comprising the following steps:

[0006] Step S1. Establish a process equipment constraint configuration table, a process equipment constraint maintenance table, and a product implementation table in the process equipment database;

[0007] Step S2. After the product enters the product process flow, configure the corresponding process equipment for the product, maintain the production specifications, production process, and production site corresponding to the process equipment in the process equipment constraint configuration table, and maintain it in the process equipment constraint maintenance table;

[0008] Step S3. Obtain product specifications for products entering the product process flow, obtain all production paths for the product based on the process equipment constraint configuration table, process equipment constraint maintenance table, and product implementation table, and update the process equipment constraint maintenance table and product implementation table;

[0009] Step S4. Preset the optimal path algorithm, configure the weights of time and efficiency in the product production specifications, configure the list of deviation values ​​that need to be referenced and the process time required for each process equipment in the process equipment corresponding to the product, calculate the production path score of each product, obtain the path with the highest score as the optimal path, and update the product implementation table.

[0010] In order to better implement the present invention, further, the method of establishing the process equipment constraint configuration table, the process equipment constraint maintenance table and the product implementation table in step S1 includes:

[0011] Create a process equipment constraint configuration table based on the factory name, process equipment, production specifications, production flow, production site, and event ID in the process equipment database;

[0012] Create a process equipment constraint maintenance table based on the event ID, event name, production process, production site, process equipment, and deletion site in the process equipment database;

[0013] A product implementation table is created using the product, production site, event ID, and event process equipment in the process equipment database.

[0014] This technical solution is divided into three parts: process equipment constraints (EQConstraint), process equipment balance (EQBanlance), and process equipment skip (EQSkip). It includes the process equipment constraint configuration table, process equipment constraint maintenance table, and product implementation table, which serve as the data center of this technical solution.

[0015] In order to better implement the present invention, further, the method for maintaining the process equipment constraint maintenance table in step S2 includes:

[0016] In the process equipment constraint maintenance table, each event ID is maintained according to the production process, production site and process equipment corresponding to the product.

[0017] In order to better implement the present invention, further, the method for updating the process equipment constraint maintenance table includes:

[0018] Maintain process equipment in the process equipment constraint configuration table, and classify the process equipment's billing type into process equipment constraint type, process equipment balance type, and process equipment skip type based on the event ID;

[0019] When a process equipment is billed out with a process equipment constraint type, multiple records are generated in the product implementation table based on the production specifications, production process, and production site corresponding to the maintained process equipment. The process then determines whether the product billed out from the process equipment is in the product implementation table. If so, the product can be put into production. If not, the product is determined not to be in the production path of the product to be acquired, and the process returns to the production process. The process equipment constraint maintenance table is then updated.

[0020] When a process equipment is issued as a process equipment balancing type, a record is generated in the product implementation table based on the production specifications, production process, and production site corresponding to the maintained process equipment. A check is performed to determine whether the product issued from the process equipment is included in the product implementation table. If so, the product can be put into production. If not, the product is determined not to be in the production path of the product to be acquired and the process is returned to the production process. The process equipment constraint maintenance table is then updated.

[0021] When a process equipment is billed as a skip type, one or more records are generated in the product implementation table based on the production specifications, production flow, and production site corresponding to the maintained process equipment. When a product site reaches the site where the process equipment skipped the previous site, the site is automatically skipped. Consecutive sites are skipped consecutively. The process equipment constraint maintenance table is updated.

[0022] In order to better implement the present invention, further, when the process equipment is billed as a process equipment balance type, the operation further includes:

[0023] When the process equipment is billed as the process equipment balance type, it is determined that multiple data are maintained for the same event ID in the process equipment constraint maintenance. According to the uniform distribution principle, after the previous process equipment is produced, the next process equipment will be selected as the process equipment to be put into use.

[0024] In order to better implement the present invention, further, the method of updating the product implementation table includes:

[0025] When a product site is deleted from the process equipment constraint maintenance table, the data in the product implementation table of the product is deleted and the product implementation table is updated.

[0026] In order to better implement the present invention, further, the optimal path algorithm preset in step S4 includes a path scoring algorithm, a single deviation value scoring algorithm and a total score algorithm.

[0027] In order to better implement the present invention, the path scoring algorithm further includes:

[0028] The path score algorithm is expressed as: path score = 100 / (time weight × path time cost + quality weight × total deviation score);

[0029] Among them, the time weight and quality weight are obtained through equipment parameters, the time cost is the average time required for a product to be manufactured in the equipment, and the deviation value is the value of one of the items between the actual value of the parameter that determines the product quality and the parameter value preset by the standard model.

[0030] In order to better implement the present invention, further, the single deviation value scoring algorithm includes:

[0031] The single deviation value scoring algorithm is expressed as: single deviation value score = |sum of single deviation values|×100;

[0032] The sum of the individual deviation values ​​is the sum of the differences between all parameters of a device and the standard values.

[0033] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0034] (1) The present invention solves the impact of differences in process technology and precision on product completion rate caused by different process equipment (Machine), formulates the process routes required for products with different processes and precision, and improves production efficiency;

[0035] (2) Manage through configuration to reduce the risks brought by personnel operations and reduce labor costs;

[0036] (3) Flexible configuration can cope with different process equipment (Machine). Different process equipment (Machine) maintains specific process equipment constraints (EQConstraint), process equipment balance (EQBanlance), and process equipment skip (EQSkip) according to its own process, wear, aging and other external factors;

[0037] (4) Through this invention, some special products can be maintained to achieve specific shipping methods by only performing certain tasks or skipping certain processes. For example, if time is limited and the maximum shipment quantity is desired, some unnecessary processes can be reduced by appropriately using process equipment skipping (EQSkip). Alternatively, some process quality can be sacrificed by using process equipment constraints (EQConstraint) to achieve the fastest shipping speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention is further described in conjunction with the following drawings and embodiments, and all concepts and innovations of the present invention should be regarded as disclosed contents and the protection scope of the present invention.

[0039] Figure 1 This is a flow chart of a method for selecting equipment for an optimal production path provided by the present invention.

[0040] Figure 2 A schematic diagram of the equilibrium state of process equipment in a method for selecting equipment for an optimal production path provided by the present invention.

[0041] Figure 3 A schematic diagram of the process equipment constraint status of a method for selecting equipment for an optimal production path provided by the present invention.

[0042] Figure 4A schematic diagram of the skipping state of process equipment in a method for providing optimal production path equipment selection provided by the present invention.

[0043] Figure 5 This is a flow chart of an optimal path calculation method for a method for selecting optimal production path equipment provided by the present invention. DETAILED DESCRIPTION

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It should be understood that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments, and therefore should not be regarded as limiting the scope of protection. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical personnel in this field without making creative work are within the scope of protection of the present invention.

[0045] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "disposed," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections; direct connections, indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0046] The terms in this invention are explained as follows: EQConstraint: process equipment constraint

[0047] EQBanlance: Process Equipment Balance

[0048] EQSkip: Process equipment skip

[0049] Factory: Factory name

[0050] Machine: Process equipment

[0051] Spec: production specifications

[0052] Flow: Production process

[0053] Operation: Production site

[0054] ActionID: event ID

[0055] ActionCode: event name

[0056] Delete Operation: Delete a site

[0057] Line: production line name

[0058] Example 1:

[0059] This embodiment provides a method for selecting equipment for an optimal production path, such as Figure 1-Figure 5 As shown, the process equipment database in this embodiment uses a user-defined database, a common technical approach in product process management. This embodiment establishes a process equipment constraint configuration table, a process equipment constraint maintenance table, and a product implementation table. Products are configured based on these configurations. Based on these configurations, personnel pre-configure the necessary process steps according to the product specifications. The system then generates all possible paths. While the processes are the same, the deviation values ​​for the same process vary between different equipment. Then, based on the aforementioned optimal path algorithm, the weights assigned to time and efficiency are configured in the production specifications (Spec), along with a list of deviation values ​​to be referenced for process equipment (Machine) configuration and the process time required for each equipment. Finally, the deviation values ​​are summed to obtain a list of deviation values. This list is then fed into Algorithm 1 to calculate the scores for each pre-defined path. The path with the highest score is ultimately the optimal path. When a process equipment (Machine) is billed, it is of the EQConstraint type. Due to maintenance, multiple records are generated in the Implementation table. Glass billed from the Machine can only be put into production if it is in the Machine table generated. When a process equipment (Machine) is billed, it is of the EQBanlance type. Due to maintenance, a single record is generated in the Implementation table. Glass billed from the Machine can only be put into production if it is in the Machine table generated. If multiple records of the EQBanlance type are maintained in the maintenance table for the same Action ID, the uniform distribution principle applies. After a production run by Machine 1, the next machine, Machine 2, will be selected as the next machine to be put into production. When a process machine is billed, it is assigned the EQSkip type. This generates one or more records in the implementation table, based on maintenance. When a glass station reaches the station immediately preceding the EQSkip, it is automatically skipped. Consecutive stations are automatically skipped. Finally, when a glass station reaches the Delete Operation in the maintenance table, typically set to the penultimate or second-to-last station in the production flow, the implementation table data for that glass item is deleted. This ensures that any residual data is deleted after the glass is shipped.

[0060] Taking a panel manufacturer as an example, initially, a configuration table and a maintenance table must be created in the database to configure and maintain the equipment paths, with LotFutureAction serving as the implementation table. Equipment parameters such as time weight (longer time, higher weight), quality weight (lower quality, higher weight), time cost, and deviation (the larger the difference from the standard, the worse) are maintained in the configuration table. For each piece of equipment, the maintenance table maintains all possible relationships between the next available process equipment. For example, process equipment (Machine) 1 can then proceed to process equipment (Machine) 2 or (Machine) 3. Now, there are product Spec 1, Flow 1, bonding equipment (Machine) 1, and similar testing equipment (Machines) 2 and 3. Spec 1 determines the required process for this batch of products, and Flow 1 determines the types of equipment this batch of products must undergo. Assuming that these products require bonding, they must pass through bonding equipment and testing equipment. During the calculation, a maximum of two paths are obtained: Path 1: Process Equipment 1 -> Process Equipment 2, and Path 2: Process Equipment 1 -> Process Equipment 3. Machine 1 has a time weight of 5, a quality weight of 5, a time cost of 20, and two deviations (-1 and 3). Machine 2 has a time weight of 3, a quality weight of 5, a time cost of 30, and one deviation (2). Machine 1 has a time weight of 5, a quality weight of 5, a time cost of 20, and two deviations (3 and 2). The total scores of the two paths are 0.0227 and 0.0135, respectively. Therefore, Path 1 is the optimal path for only bonding and inspection processes. This is maintained in the configuration table according to the production specifications and flow. When this batch of products is officially received and processing begins, the machines and their relationships are inserted into the implementation table according to the optimal path in the maintenance table.

[0061] Example 2:

[0062] This embodiment is further optimized based on embodiment 1. Figure 1-Figure 4As shown, the EQConstraint provides a set of entities associated with preceding and following machines. Simply put, after a product is processed on a specific machine, a subsequent process must be performed on one or more specific machines. The EQConstraint primarily achieves this by using the processing standard deviation of subsequent machines to offset the known processing standard deviation of the current machine, achieving optimal product quality and improving yield.

[0063] EQBanlance provides a machine-level balancing solution. Simply put, after a product is processed by a specific piece of equipment, the subsequent process must be evenly distributed across multiple designated machines. EQBanlance primarily achieves this: given the standard deviation of the current machine's processing, the subsequent machines in a given process can all be processed, offsetting their standard deviations (regardless of optimality). This improves production efficiency while maintaining a certain level of product quality.

[0064] EQSkip provides a solution for skipping machine processes. Simply put, after a product is processed on a specific piece of equipment, a subsequent process must be skipped. When a maintenance table entry is issued, an entry in the implementation table is generated based on the relationship in the maintenance table. Once triggered, the glass station automatically skips to the next machine. This feature primarily involves skipping a process if the standard deviation of the current machine is known and all subsequent machines for a given process cannot offset the standard deviation. This prevents product quality degradation and reduces losses.

[0065] The rest of this embodiment is the same as that of embodiment 1, so it will not be described again.

[0066] Example 3:

[0067] This embodiment is further optimized based on the above embodiment 1 or 2. Figure 1-4As shown, the configuration table is used to maintain the EQConstraint event IDs (ActionIDs) for each process equipment (Machine). The maintenance table determines which specific process equipment (Machine) an event ID (ActionID) can be applied to under which production flow (Flow), production site (Operation), and process equipment (Machine) conditions, generating the implementation table data. Furthermore, the delete operation identifies the final point where the generated implementation table data will be deleted to ensure that no garbage data is generated. The implementation table is used to ensure and verify that the glass manufacturing process is correctly executed based on the maintained configuration and implementation tables.

[0068] The rest of this embodiment is the same as that of the above-mentioned embodiment 1 or 2, and thus will not be described in detail.

[0069] Example 4:

[0070] This embodiment is further optimized based on any one of the above embodiments 1-3. In this embodiment, when the process equipment is billed as a process equipment constraint type, multiple records are generated in the product implementation table. The records include product ID, process equipment ID, specifications, production site, next process equipment ID and next production site. For example, the records generated for a product include site 1, equipment 1, next site 2, next equipment 2, etc.; site 2, equipment 2, next site 3, next equipment 3, etc.

[0071] The process equipment balancing type in this embodiment generates a record in the product implementation table at the same time. For example: there are two identical process equipments, each with a maximum load of 3. Now there are 10 pieces ready to be put into production. This type will proceed in this way: product 1 is put into equipment 1, product 2 is put into equipment 2, product 3 is put into equipment 3, and so on, thereby reducing the burden on each piece of equipment.

[0072] When a process equipment is billed out with the process equipment skip type, one or more records are generated. For products billed out from equipment 1, which originally needed to go to equipment 2 (the next process equipment after equipment 1), after this type of record (product 1, site 1, equipment 1, skip site 1, skip equipment 1) is generated, equipment 2 is skipped and the process is continued with equipment 3.

[0073] The rest of this embodiment is the same as any of the above embodiments 1-3, so it will not be repeated here.

[0074] Example 5:

[0075] This embodiment further optimizes Example 4. The process equipment balancing type in this embodiment provides a process equipment (machine)-level balancing solution. Simply put, after a product is processed by a specific piece of equipment, the subsequent process must be evenly distributed across multiple designated machines. This is achieved by selecting the next process from the maintenance table based on the maintained configuration table for the glass produced by process equipment 1. The delete operation identifies the last node where the generated implementation table data will be deleted, ensuring that no garbage data is generated. Meanwhile, if process equipment 1 continues to produce glass, the maintenance table selects the next process equipment recorded in the implementation table. This ensures that the glass produced by process equipment 1 is evenly distributed across the different process equipment machines according to the maintenance table. The main purpose of process equipment balance (EQBanlance) is to: when the processing standard deviation of the current equipment is known, several subsequent equipment of a certain process can offset their standard deviation (regardless of the optimal one) and can all be processed, so as to achieve improved production efficiency while ensuring a certain product quality.

[0076] The rest of this embodiment is the same as that of embodiment 4, so it will not be described again.

[0077] Example 6:

[0078] This embodiment further optimizes any of the above-mentioned embodiments 1-5. The product implementation table is updated when the product specifications and optimal path algorithm for the product entering the product process flow are obtained. The process equipment constraint maintenance table is updated after the product enters the product process flow and after the product specifications for the product entering the product process flow are obtained. The product implementation table is updated when the product site is deleted from the process equipment constraint maintenance table. The site is set to the penultimate and penultimate sites in the production process, the data in the product implementation table is deleted, and the product implementation table is updated. The last node of each product's production process (production process (Flow)) is a universal end (End) node, marking the end of the product process. The previous node is the product's last process technology. When these nodes are accounted out, all production path information for this product in the implementation table is deleted. This reduces discarded records while reducing the database burden.

[0079] The rest of this embodiment is the same as any of the above embodiments 1-5, so it will not be repeated here.

[0080] Example 7:

[0081] This embodiment is further optimized based on any one of the above embodiments 1-6. Figure 5 As shown, products prioritize efficiency and quality, with the determining factors being production time and the deviations of various product indicators. The algorithm is based on this idea, with the emphasis on quality or efficiency depending on the factory's needs. Note: A higher path score indicates higher efficiency and quality.

[0082] The rest of this embodiment is the same as any of the above embodiments 1-6, so it will not be repeated here.

[0083] Example 8:

[0084] This embodiment is further optimized based on embodiment 7. Figure 5 As shown, in this example, the time weight (time weighting) indicates that longer time is associated with a higher weight, and the quality weight (quality weighting) indicates that lower quality is associated with a higher weight. Time cost refers to the actual time spent, and the deviation value (deviation from the standard value) indicates that a larger value indicates a worse metric. A larger total score indicates a better path. Assume that the product requires bonding and must pass through bonding equipment and testing equipment. During the calculation, a maximum of two paths are obtained: Path 1: Process Machine 1 -> Process Machine 2, and Path 2: Process Machine 1 -> Process Machine 3. Machine 1 has a time weight of 5, a quality weight of 5, a time cost of 20, and two deviations (deviation -1, deviation 3). Machine 2 has a time weight of 3, a quality weight of 5, a time cost of 30, and one deviation (deviation 2). Machine 1 has a time weight of 5, a quality weight of 5, a time cost of 20, and two deviations (deviation 3, deviation 2). The total scores of the two paths are calculated to be 0.0227 and 0.0135, respectively. Therefore, path one is the optimal path when only bonding and testing processes are performed. The time and quality weights are obtained from equipment parameters and manually maintained by personnel. Time expenditure is the average time required to manufacture a product using this equipment. The individual deviation value is the difference between the actual value of a parameter that determines product quality and the parameter value preset by the standard model.

[0085] The rest of this embodiment is the same as that of Embodiment 7, so it will not be described again.

[0086] Example 9:

[0087] This embodiment further optimizes any one of Examples 1-8, wherein the single deviation value is the value of one of the differences between the actual value of the parameter determining product quality and the parameter value preset in the standard model. The remaining parts of this embodiment are described in Example 8 and will not be repeated here.

[0088] Finally, in the present invention Figure 1-Figure 5 Those skilled in the art can understand the overall operation steps of the present invention by viewing the flow chart.

[0089] Example.

[0090] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification or equivalent change made to the above embodiment based on the technical essence of the present invention falls within the scope of protection of the present invention.

Claims

1. A method for providing optimal production path equipment selection, characterized in that: The following steps are involved: Step S1. Establish a process equipment constraint configuration table, a process equipment constraint maintenance table, and a product implementation table in the process equipment database; The method for establishing the process equipment constraint configuration table, the process equipment constraint maintenance table, and the product implementation table in step S1 includes: Create a process equipment constraint configuration table based on the factory name, process equipment, production specifications, production flow, production site, and event ID in the process equipment database; Create a process equipment constraint maintenance table based on the event ID, event name, production process, production site, process equipment, and deletion site in the process equipment database; create a product implementation table based on the product, production site, event ID, and event process equipment in the process equipment database; Step S2. After the product enters the product process flow, configure the corresponding process equipment for the product, maintain the production specifications, production process, and production site corresponding to the process equipment in the process equipment constraint configuration table, and maintain it in the process equipment constraint maintenance table; Step S3. Obtain product specifications for products entering the product process flow, obtain all production paths for the product based on the process equipment constraint configuration table, process equipment constraint maintenance table, and product implementation table, and update the process equipment constraint maintenance table and product implementation table; Step S4. Preset the optimal path algorithm, configure the weights of time and efficiency in the product production specifications, configure the list of deviation values ​​that need to be referenced and the process time required for each process equipment in the process equipment corresponding to the product, calculate the production path score of each product, obtain the path with the highest score as the optimal path, and update the product implementation table.

2. The method for providing optimal production path equipment selection according to claim 1, characterized in that: The method for performing maintenance in the process equipment constraint maintenance table in step S2 includes: In the process equipment constraint maintenance table, each event ID is maintained according to the production process, production site and process equipment corresponding to the product.

3. The method for providing optimal production path equipment selection according to claim 1, characterized in that: The method for updating the process equipment constraint maintenance table includes: Maintain process equipment in the process equipment constraint configuration table, and classify the process equipment's billing type into process equipment constraint type, process equipment balance type, and process equipment skip type based on the event ID; When billing out a process equipment item with a constraint type, multiple records are generated in the product implementation table based on the production specifications, production process, and production site corresponding to the maintained process equipment. The process then determines whether the product billed out from the process equipment item is included in the product implementation table. If so, the product is invested. If not, the product is determined not to be in the production path of the product to be acquired and the process is returned to the production process. The process equipment constraint maintenance table is then updated. When a process equipment is issued as a process equipment balancing type, a record is generated in the product implementation table based on the production specifications, production process, and production site corresponding to the maintained process equipment. A check is performed to determine whether the product issued from the process equipment is included in the record in the product implementation table. If so, the product is invested. If not, the product is determined not to be in the production path of the product to be acquired and the process is returned to the production process. The process equipment constraint maintenance table is also updated. When a process equipment is billed as a skip type, one or more records are generated in the product implementation table based on the production specifications, production flow, and production site corresponding to the maintained process equipment. When a product site reaches the site where the process equipment skipped the previous site, the site is automatically skipped. Consecutive sites are skipped consecutively. The process equipment constraint maintenance table is updated.

4. The method for providing optimal production path equipment selection according to claim 3, characterized in that: When the process equipment is billed as a process equipment balance type, the operations further include: When the process equipment is billed as the process equipment balance type, it is determined that multiple data are maintained for the same event ID in the process equipment constraint maintenance. According to the uniform distribution principle, after the previous process equipment is produced, the next process equipment will be selected as the process equipment to be put into use.

5. The method for providing optimal production path equipment selection according to claim 1, characterized in that: The method of updating the product implementation table includes: when the product site reaches the deletion site in the process equipment constraint maintenance table, deleting the data in the product implementation table of the product and updating the product implementation table.

6. The method for providing optimal production path equipment selection according to claim 1, characterized in that: The optimal path algorithm preset in step S4 includes a path scoring algorithm and a single deviation value scoring algorithm.

7. The method for providing optimal production path equipment selection according to claim 6, characterized in that: The path scoring algorithm includes: The path scoring algorithm is expressed as: path score = 100 / (time weight × path time cost + quality weight × total deviation score); among them, the time weight and quality weight are obtained through equipment parameters, the time cost is the average time required for a product to be manufactured in the equipment process, and the deviation score is the value of one of the items between the actual value of the parameter that determines the product quality and the parameter value preset by the standard model.

8. The method for providing optimal production path equipment selection according to claim 6, characterized in that: The single deviation value scoring algorithm includes: The single deviation value scoring algorithm is expressed as: single deviation value score = |sum of single deviation values| × 100; where the sum of single deviation values ​​is the sum of the differences between all parameters of a device and the standard values.

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