Shared collaborative information production method and production system for discrete manufacturing systems

Abstract

A shared collaborative information production method and production system for discrete manufacturing systems organizes production through a production management system based on shared collaborative information and at least one group of production lines that implement different manufacturing methods for part A. The shared collaborative information includes part order information and cross-department user terminal decision information. Part order information includes current part order information, mergeable order information, and delivered order information used to generate derivative orders. Cross-department user terminal decision information includes decision priority information and production scheduling decision information for different user terminals. In the production management system, data sharing and collaboration in the order analysis process is achieved through data entry and reading, and different part order information is planned in a coordinated manner, and part processing methods are optimized. Furthermore, through multi-user terminal collaborative decision-making based on shared collaborative information, multi-user terminals can be interfaced and programmed to communicate, enhance condition identification and constraints, and improve the accuracy of system push solutions.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing platforms, and in particular to a shared collaborative information production method and a production system for discrete manufacturing systems. Background Art

[0002] The production system of the machinery manufacturing industry is mostly a discrete manufacturing system. In order to adapt to lean scale production, production enterprises of a certain scale all use a unified production management system to organize production, production lines and supply ends. When the production method is single, no matter how many orders are scheduled, they can be included in the unified production management system to organize production. The production management system is based on the current order scheduling, and different orders can also be simply superimposed or integrated. However, when the production method needs to be selected according to the size of the order scheduling quantity, the current production management system has no ability to judge the selection of the production method, and the production management system will lose its function.

[0003] The most typical situation is that when factories are currently producing customized reduction machinery, small batches of customized parts in the mechanical system are produced using trial production mode production lines, and large batches of customized parts are produced using traditional assembly line mode production lines. The current production management system only divides trial production mode production lines and traditional assembly line mode production lines into two different production modes, based on their respective order management. This leads to information lags and the production department's separate management of its own orders. As a result, many orders that could have been integrated from trial production mode production lines to traditional assembly line mode production lines are still produced under the trial production mode. The trial production mode is generally a high-cost production mode with a low degree of operational standardization. It cannot guarantee product consistency and affects production capacity and efficiency.

[0004] In response to the above problems, we have preliminarily introduced a supply chain allocation system and method specifically adapted to the discrete manufacturing needs of transmission systems in patent CN202210127529.4, and have made certain breakthroughs in the analysis and selection of order-based production lines. The system and method can also be extended to general discrete manufacturing needs. However, when building a production system for discrete manufacturing systems based on the operating principles of this system, it is limited by the communication limitations of multiple user terminals participating in scheduling decisions and the identification and constraints of scheduling data conditions. The probability of pushing out a scheduling plan that meets the overall needs of discrete manufacturing at one time is still not high enough. Summary of the invention

[0005] In order to solve the problems in the background technology, the present invention provides a shared collaborative information production method and production system for discrete manufacturing systems. Based on the early stage of collaborative planning and optimizing the selection of part processing methods by entering and reading data in the production management system based on the characteristics of part processing, the accuracy of the system push plan is further improved through multi-user terminal collaborative decision-making based on shared collaborative information.

[0006] The objective of the present invention is achieved through the following technical solutions:

[0007] A shared collaborative information production method for a discrete manufacturing system, which organizes production through a production management system based on shared collaborative information and at least one group of part A production lines that implement different manufacturing methods for the same part A, wherein the shared collaborative information includes part order information and cross-department user terminal decision information;

[0008] The parts order information includes: current order information containing part A, mergeable order information containing parts identical or similar to part A, and delivered order information containing parts identical or similar to part A;

[0009] The delivered order information containing the same or similar parts as part A is pre-stored in the database of the production management system, and each piece of delivered order information includes different production schedules at different times. The different production schedules at different times in each piece of delivered order information are marked as source orders or derived orders by manual identification. The derived orders are spare parts or repair parts orders added after the source order is delivered;

[0010] The cross-department user terminal decision information includes decision priority information and production scheduling decision information of different user terminals;

[0011] The production management system obtains the production scheduling data in the following ways:

[0012] The current production quantity M1 of part A is obtained by reading the current order information including part A;

[0013] The mergeable scheduling quantity M2 of part A is obtained by reading the mergeable order information containing the same or similar parts as part A;

[0014] By reading the delivered order information containing the same or similar parts as part A, the proportional factor k of the number of production of the derived orders in the delivered orders relative to the number of production of the original order or the total number of production is obtained, and then the derived production quantity M3 of part A is obtained through the new production quantity base and the proportional factor k, wherein the total production quantity = the number of production of the original order + the number of production of the derived orders;

[0015] The production management system presets a part A conversion parameter K according to production requirements, and the part A conversion parameter K serves as the basis for the production management system to select which manufacturing method of the part A production line. The production management system selects part A production lines with different manufacturing methods by numerically comparing the current scheduling volume M1 of part A with the part A conversion parameter K, or by numerically comparing the comprehensive scheduling volume of the current scheduling volume M1 of part A and the combinable scheduling volume M2 of part A with the part A conversion parameter K, or by numerically comparing the comprehensive scheduling volume of the current scheduling volume M1 of part A, the combinable scheduling volume M2 of part A, and the derived scheduling volume M3 of part A with the part A conversion parameter K, and pushes the scheme to be confirmed to multiple user terminals for production scheduling decision, determines the production scheduling scheme according to the decision priority information and production scheduling decision information of the multiple user terminals, and sends the production scheduling plan or instruction to the selected part A production line according to the determined production scheduling scheme.

[0016] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, the scheme to be confirmed is pushed to multiple user terminals for production scheduling decision-making, the scheme to be confirmed includes scheduling volume composition information and part A production line recommendation information corresponding to the scheduling volume composition information, and the production scheduling decision includes the following multiple interface operation items executed by the user terminal:

[0017] Confirmation of the validity of the combined output M2;

[0018] The modification of the output M2 can be merged;

[0019] Confirmation of validity of the conditions for the combined production volume M2;

[0020] The conditions for the combined production volume M2 can be modified;

[0021] Confirmation of the validity of the derived output M3;

[0022] Derivative displacement M3 modification;

[0023] Confirmation of validity of derived discharge volume M3 condition;

[0024] Modification of the conditions for the derived output M3;

[0025] The scheme is to be confirmed;

[0026] Plan modification pending confirmation.

[0027] Furthermore, the above-mentioned shared collaborative information production method for discrete manufacturing systems includes the following steps:

[0028] Step 1, the production management system based on shared collaborative information generates the current scheduled production volume M1 of part A according to the input part order;

[0029] Step 2, the production management system compares the current production volume M1 of part A with the production conversion parameter K of part A. When the current production volume M1 of part A reaches the production conversion parameter K of part A, a production line of part A that is favorable for mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the current production volume M1 of part A does not reach the production conversion parameter K of part A, step 3 is entered;

[0030] Step 3, the production management system reads the information of the mergeable orders containing the same or similar parts as part A to obtain the mergeable scheduling volume M2 of part A, and then compares the sum of the current scheduling volume M1 of part A and the mergeable scheduling volume M2 of part A with the aforementioned production conversion parameter K. When the sum reaches the aforementioned production conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the sum does not reach the production conversion parameter K of part A, step 4 is entered;

[0031] Step 4, the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the number of derived order production schedules relative to the number of original order production schedules or the total number of production schedules in the delivered order, and then obtains the derived production schedule M3 of part A through the new production schedule base and the proportional factor k, and then compares the sum of the current production schedule M1 of part A, the mergeable production schedule M2 of part A, and the derived production schedule M3 of part A with the aforementioned production conversion parameter K. When the sum reaches the aforementioned production conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the sum does not reach the production conversion parameter K of part A, the production management system directly selects the production line of part A that is conducive to scattered or small-batch production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle, and pushes the to-be-confirmed solution to multiple user terminals;

[0032] Step 5: Multiple user terminals make independent production scheduling decisions by executing one or more operation items in the multiple interface operation items in the management interface of the production management system. The production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of the multiple user terminals, and determines the production scheduling plan according to the production scheduling decision information of the multiple user terminals;

[0033] Step 6, the production management system returns the production scheduling plan determined in step 5 to each user terminal for secondary confirmation;

[0034] Step 7: The production management system sends a production schedule or instruction to the selected part A production line according to the production schedule confirmed for the second time in step 6.

[0035] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, in step 5, the production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of multiple user terminals, including allocating executable permissions for interface operation items of each user terminal.

[0036] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, in step 5, the production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of multiple user terminals, including allocating sequential authority for each user terminal to execute one or more interface operation items.

[0037] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, when the production management system reads the combinable order information containing the same or similar parts as part A, the same delivery cycle is used as the basis for order screening, and the delivery cycle is limited by date. The validity confirmation of the combinable scheduling volume M2 condition includes the validity confirmation of the combinable order cycle, and the modification of the combinable scheduling volume M2 condition includes the modification of the combinable order cycle.

[0038] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, the validity confirmation of the derived scheduling output M3 condition includes the validity confirmation of the derived scheduling output M3 base and the validity confirmation of the proportional factor k, and the modification of the derived scheduling output M3 condition includes the modification of the derived scheduling output M3 base and the modification of the proportional factor k.

[0039] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, when the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the number of derived order production schedules in the delivered orders relative to the number of original order production schedules or the total number of production schedules, it only accumulates the number of derived order production schedules within the preset economic cycle, and the validity confirmation of the derived production schedule M3 condition also includes the validity confirmation of the preset economic cycle of the derived orders, and the modification of the derived production schedule M3 condition also includes the modification of the preset economic cycle of the derived orders.

[0040] Furthermore, in the above-mentioned shared collaborative information production method for discrete manufacturing systems, the new production volume base described in step 4 is the current production volume M1 of part A or the sum of the current production volume M1 of part A and the combinable production volume M2 of part A.

[0041] The present invention also provides a shared collaborative information production system for discrete manufacturing systems, the system comprising:

[0042] Production management system based on shared collaborative information;

[0043] At least one set of part A production lines implementing different manufacturing methods for the same part A;

[0044] By means of the production management system based on shared collaborative information and the at least one group of part A production lines implementing different manufacturing methods for the same part A, a shared collaborative information production method for discrete manufacturing systems as described above is executed.

[0045] The beneficial effects of the present invention are:

[0046] The shared collaborative information production method and production system for discrete manufacturing systems provided by the present invention can be applied in the field of mechanical processing. On the one hand, according to the characteristics of the parts processing technology, data sharing and collaboration in the order analysis process can be achieved through data entry and reading in the production management system, and the current order information of the parts and the mergeable order information and the derived order information are planned in a coordinated manner to optimize the selection of part processing methods. More importantly, through multi-user terminal collaborative decision-making based on shared collaborative information, multi-user terminals can be further involved in production scheduling decision-making. Interface-based and programmatic communication can be achieved, thereby enhancing the recognition and constraints of production scheduling data conditions and improving the accuracy of system push solutions.

[0047] The goal that is expected to be achieved in the industry through the solution of the present invention is to give full play to the advantages of the production management system and the intelligent manufacturing platform in the selection of component manufacturing processes based on production batches, establish cross-departmental and cross-cycle production coordination, and when the production method needs to be selected based on the size of the order scheduling quantity, be able to choose the component manufacturing process that is beneficial to the production department in terms of product quality or economy as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A workflow diagram of a shared collaborative information production method for discrete manufacturing systems provided in an embodiment of the present invention.

[0049] Figure 2 for Figure 1 One of the schematic diagrams of the production schedule to be confirmed (pending decision) is generated by using the information of M1 (current production schedule), M2 (combinable production schedule) and M3 (derived production schedule).

[0050] Figure 3 for Figure 1 The second schematic diagram of the production schedule to be confirmed (pending decision) is generated by using the information of M1 (current schedule), M2 (combinable schedule) and M3 (derived schedule). DETAILED DESCRIPTION

[0051] Exemplary embodiments of the present disclosure will be described below in more detail with reference to the accompanying drawings.

[0052] Example

[0053] The shared collaborative information production method and production system for discrete manufacturing systems provided in this embodiment organize production through a production management system based on shared collaborative information and at least one group of part A production lines that implement different manufacturing methods for the same part A.

[0054] As mentioned above, the present invention implements different manufacturing methods for the same part A in order to adapt to the parts manufacturing process based on the production batch. For example, when producing a customized reducer including a housing and a gear transmission system, if one of the parts is a standard part or is not a standard part but is a part that has been produced by the production department for a long time, it can be directly produced according to the existing large-scale production line of the production department. If one of the parts needs to be verified and produced according to a new design, it is necessary to select a production method based on the part batch.

[0055] Taking special-shaped shaft / rod parts as an example, mass production generally uses ordinary round steel for hot forging and then cutting and finishing. In this production model, hot forging is the front-end process and the main process. The whole process requires the development of more than four sets of production molds. Once the mold is developed and manufactured, its service life is usually nominal based on the batch of products that can be produced. This batch is at least measured in tens of thousands or hundreds of thousands, and the mold cost can be seen. However, small-batch production can use large-sized special round steel to start directly from cutting, and finally get the same parts. Although the raw material cost is higher than mass production, and certain special heat treatment processes may need to be added to ensure that the product quality is comparable to hot forging quality, but for small-batch production, this is the preferred high-efficiency and low-cost production model.

[0056] The shared collaborative information production method and production system for discrete manufacturing systems in this embodiment are based on the above-mentioned parts processing technology characteristics. Through data entry and reading in the production management system, data sharing and collaboration in the order analysis process are achieved, and the current order information of the parts is planned in a coordinated manner with the mergeable order information and the derived order information, and the parts processing method is optimized. Furthermore, through collaborative decision-making by multiple user terminals based on shared collaborative information, the interface and programmatic communication of multiple user terminals participating in production scheduling decisions are realized, the identification and constraints of production scheduling data conditions are enhanced, and the accuracy of the system push plan is improved. In this embodiment, in the production line of part A that implements different manufacturing methods for the same part A, different manufacturing methods may have large or small differences in raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle.

[0057] Specifically, the shared collaborative information described in this embodiment includes parts order information and cross-departmental user terminal decision information.

[0058] Among them, the above-mentioned parts order information includes: current order information containing part A, mergeable order information containing parts that are the same or similar to part A, and delivered order information containing parts that are the same or similar to part A.

[0059] The delivered order information containing the same or similar parts as part A is pre-stored in the database of the production management system. Each piece of delivered order information includes different production schedules at different times. The different production schedules at different times in each piece of delivered order information are marked as original orders or derived orders through manual identification. The derived orders are spare parts or repair parts orders added after the original order is delivered.

[0060] The above-mentioned cross-department user terminal decision information includes decision priority information and production scheduling decision information of different user terminals.

[0061] Next, you can first see Figure 1 , Figure 1 The workflow diagram of the shared collaborative information production method for discrete manufacturing systems provided by the embodiment of the present invention is as follows: According to the workflow, the production management system should be able to obtain the production data in the following ways in sequence:

[0062] The current production quantity M1 of part A is obtained by reading the current order information containing part A;

[0063] The mergeable scheduling quantity M2 of part A is obtained by reading the mergeable order information containing the same or similar parts as part A;

[0064] By reading the delivered order information containing the same or similar parts as part A, the proportional factor k of the derived order production quantity in the delivered order relative to the original order production quantity or the total production quantity (original order production quantity + derived order production quantity) is obtained, and then the derived production quantity M3 of part A is obtained through the new production quantity base and the proportional factor k.

[0065] See further below Figure 2 or Figure 3 , Figure 2 and Figure 3 Indicated in two different ways Figure 1The principle of generating a production schedule to be confirmed (to be decided) by using M1 (current scheduling volume), M2 (combinable scheduling volume), and M3 (derived scheduling volume) information, the production management system presets the part A conversion parameter K according to the production requirements, and the part A conversion parameter K is used as the basis for the production management system to select which manufacturing method of the part A production line, the production management system selects the part A production line of different manufacturing methods by numerically comparing the current scheduling volume M1 of part A with the part A conversion parameter K, or by numerically comparing the comprehensive scheduling volume of the current scheduling volume M1 of part A and the combinable scheduling volume M2 of part A with the part A conversion parameter K, or by numerically comparing the comprehensive scheduling volume of the current scheduling volume M1 of part A, the combinable scheduling volume M2 of part A, and the derived scheduling volume M3 of part A with the part A conversion parameter K, and pushes the to-be-confirmed plan to multiple user terminals for scheduling decision, determines the scheduling plan according to the decision priority information and scheduling decision information of the multiple user terminals, and sends the scheduling plan or instruction to the selected part A production line according to the determined scheduling plan.

[0066] In the present invention, the ratio factor k of the number of production schedules of derived orders in delivered orders relative to the number of production schedules of original orders or the total number of production schedules (the number of production schedules of original orders + the number of production schedules of derived orders) is used as the factor multiplied by the new production base because the number of production schedules of derived orders with different production bases cannot be directly added together, but the proportion of newly added spare parts or repair parts in their corresponding number of production schedules of original orders or the total number of production schedules is stable and has reference significance. The ratio factor k extracted from the experience order can be directly multiplied by the new production base to obtain the derived production M3 of part A. Since the derived orders in the present invention are based on the idea of ​​estimated integration and introduce forward-looking considerations, the derived production M3 should be a parameter that can be manually modified. Similarly, the merged production M2 is also preferably a parameter that can be manually modified. The modification of these two parts of the parameters can also be integrated into the production scheduling decision process, which will be mentioned in the introduction of the production scheduling decision process below.

[0067] Specifically, the aforementioned plan to be confirmed is pushed to multiple user terminals for production scheduling decision-making, the plan to be confirmed includes production scheduling composition information and part A production line recommendation information corresponding to the production scheduling composition information, and the production scheduling decision includes the following multiple interface operation items executed by the user terminal:

[0068] Confirmation of the validity of the combined output M2;

[0069] The modification of the output M2 can be merged;

[0070] Confirmation of validity of the conditions for the combined production volume M2;

[0071] The conditions for the combined production volume M2 can be modified;

[0072] Confirmation of the validity of the derived output M3;

[0073] Derivative displacement M3 modification;

[0074] Confirmation of validity of the derived discharge volume M3 condition;

[0075] Modification of the conditions for the derived output M3;

[0076] The scheme is to be confirmed;

[0077] Plan modification pending confirmation.

[0078] The whole process above is Figure 1 Based on the combination Figure 2 or Figure 3 The following steps are used to illustrate:

[0079] First, in step 1, the production management system based on shared collaborative information generates the current scheduled production volume M1 of part A according to the entered part order.

[0080] Next is step 2, in which the production management system makes a numerical comparison between the current production volume M1 of part A and the conversion parameter K of part A. When the current production volume M1 of part A reaches the conversion parameter K of part A, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the pending confirmation plan is pushed to multiple user terminals. When the current production volume M1 of part A does not reach the conversion parameter K of part A, step 3 is entered.

[0081] Next is step 3, the production management system reads the information of the mergeable orders containing the same or similar parts as part A to obtain the mergeable scheduling volume M2 of part A (the scheduling plan of the part in the merged order scheduling plan is cleared), and then compares the sum of the current scheduling volume M1 of part A and the mergeable scheduling volume M2 of part A with the aforementioned production conversion parameter K. When the sum reaches the aforementioned production conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the pending confirmation plan is pushed to multiple user terminals. When the sum does not reach the production conversion parameter K of part A, go to step 4.

[0082] In actual production, when the production management system reads the information of the mergeable orders containing the same or similar parts as part A, it generally uses the same delivery cycle as the basis for order screening, and the delivery cycle can be limited by date. Therefore, in this case, the validity confirmation of the mergeable scheduling volume M2 condition mentioned above at least includes the validity confirmation of the mergeable order cycle, and the modification of the mergeable scheduling volume M2 condition at least includes the modification of the mergeable order cycle.

[0083] Next is step 4, the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the derived order production number in the delivered order relative to the original order production number or the total production number, and then obtains the derived production volume M3 of part A through the new production volume base and the proportional factor k, and then compares the sum of the current production volume M1 of part A, the combinable production volume M2 of part A, and the derived production volume M3 of part A with the aforementioned conversion parameter K. When the sum reaches the aforementioned conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the plan to be confirmed is pushed to multiple user terminals. When the sum does not reach the conversion parameter K of part A, the production management system directly selects the production line of part A that is conducive to scattered or small batch production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle, and pushes the plan to be confirmed to multiple user terminals.

[0084] In this step, the derived production volume M3 is obtained based on the derived production volume M3 base and the proportional factor k. Therefore, the aforementioned validity confirmation of the derived production volume M3 condition includes the validity confirmation of the derived production volume M3 base and the validity confirmation of the proportional factor k, and the modified derivative production volume M3 condition includes the modified derivative production volume M3 base and the modified proportional factor k. In addition, when the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the derived order production number relative to the original order production number or the total production number in the delivered order, it only accumulates and calculates the derived order production number within the preset economic cycle. The preset economic cycle is a cycle parameter defined by the production management personnel in combination with the spare parts cost and the cooperation cycle of different terminal suppliers in the supply chain. It can be limited by the time length, the unit is day, month or year, preferably month. In the programmatic execution interface, it can also be generated by intercepting a period of start and end dates in the system. The cycle length ensures that the risk of early investment can be controlled on the basis of obtaining overall effectiveness. This cycle parameter can be changed at any time by a specific user terminal, especially a user terminal with a higher decision priority, according to the judgment of production cost. Therefore, in this case, the aforementioned confirmation of the validity of the derivative scheduling volume M3 condition should also preferably include the confirmation of the validity of the derivative order preset economic cycle, and the aforementioned modification of the derivative scheduling volume M3 condition should also include the modification of the derivative order preset economic cycle.

[0085] After understanding the working process of steps 1 to 4, you can further combine Figure 2 and Figure 3 To understand the selection basis of the "new production base" in this embodiment, Figure 2In step 4, the "new production base" is the current production M1 of part A. Figure 3 In step 4, the "new production volume base" is the sum of the current production volume M1 of part A and the combinable production volume M2 of part A. According to the concept of the present invention, the latter implementation method belongs to a more comprehensive consideration.

[0086] Next is step 5, where multiple user terminals make independent production scheduling decisions in the management interface of the production management system by executing one or more operation items among the multiple interface operation items. The production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of the multiple user terminals, and determines the production scheduling plan based on the production scheduling decision information of the multiple user terminals.

[0087] In this step, the production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of multiple user terminals, including: allocating executable permissions for interface operation items to each user terminal, and allocating sequential permissions for each user terminal to execute one or more interface operation items.

[0088] For example, since the validity confirmation mentioned in this embodiment can be either a "release" confirmation or a "disable" confirmation, for the interface operation items, at least the two main operation items of the validity confirmation of the scheduling output M2 and the validity confirmation of the derived scheduling output M3 can be combined and can be operated through the "release" confirmation and the "disable" confirmation. The operation authority of the "disable" confirmation is only granted to a specific one or several user terminals with higher decision-making priorities among multiple user terminals, rather than all of them. This control method belongs to the allocation of executable permissions for the interface operation items of each user terminal according to the decision priority.

[0089] Another way is to grant the "disable" confirmation operation authority to each of multiple user terminals. However, once a user terminal with a higher decision priority performs the "disable" confirmation operation, user terminals with a lower decision priority than the user terminal with a higher decision priority will only be able to make production scheduling decisions and generate production scheduling decision information under the condition that the combinable scheduling volume M2 and / or the derived scheduling volume M3 are disabled. This control method is to allocate sequential authority to each user terminal to execute one or more interface operation items according to the decision priority.

[0090] In addition, the above-mentioned sequential authority is not only reflected in the restriction on the operation sequence of each user terminal to execute the interface operation items, but also in the user terminal with a higher decision priority having the right to forcefully change the production scheduling decision information generated by the user terminal with a lower decision priority when the operation sequence restriction is lifted. Specifically, if the user terminal with a lower decision priority first generates the production scheduling decision information for "releasing" the combinable scheduling volume M2 and / or the derived scheduling volume M3 by executing the interface operation item, the user terminal with a higher decision priority can forcefully refresh the production scheduling decision information by performing the operation of "disabling" the combinable scheduling volume M2 and / or the derived scheduling volume M3.

[0091] It should be noted that the production management system based on shared collaborative information in this embodiment can bypass the disabled items or assign the disabled items to 0 (preferably the latter) when the combineable scheduling volume M2 and / or the derived scheduling volume M3 are "disabled", thereby generating refreshed scheduling decision information.

[0092] Next is step 6, where the production management system returns the production schedule determined in step 5 to each user terminal for secondary confirmation.

[0093] Finally, in step 7, the production management system sends a production schedule or instruction to the selected part A production line based on the production schedule confirmed for the second time in step 6.

[0094] The shared collaborative information production system for discrete manufacturing systems defined in this embodiment should generally include a production management system based on shared collaborative information and at least one group of part A production lines that implement different manufacturing methods for the same part A. The production method described above is performed by the production management system based on shared collaborative information and the at least one group of part A production lines that implement different manufacturing methods for the same part A.

[0095] The goal that is expected to be achieved in the industry through the solution of the present invention is to give full play to the advantages of the production management system and the intelligent manufacturing platform in the selection of component manufacturing processes based on production batches, establish cross-departmental and cross-cycle production coordination, and when the production method needs to be selected based on the size of the order scheduling quantity, be able to choose the component manufacturing process that is beneficial to the production department in terms of product quality or economy as much as possible.

Claims

1. A shared collaborative information production method for discrete manufacturing systems, which organizes production through a production management system based on shared collaborative information and at least one group of part A production lines that implement different manufacturing methods for the same part A. It is characterized in that The shared collaborative information includes parts order information and cross-department user terminal decision information; The parts order information includes: current order information containing part A, mergeable order information containing parts identical or similar to part A, and delivered order information containing parts identical or similar to part A; The delivered order information containing the same or similar parts as part A is pre-stored in the database of the production management system, and each piece of delivered order information includes different production schedules at different times. The different production schedules at different times in each piece of delivered order information are marked as source orders or derived orders by manual identification. The derived orders are spare parts or repair parts orders added after the source order is delivered; The cross-department user terminal decision information includes decision priority information and production scheduling decision information of different user terminals; The production management system obtains the production scheduling data in the following ways: The current production quantity M1 of part A is obtained by reading the current order information containing part A; The mergeable scheduling quantity M2 of part A is obtained by reading the mergeable order information containing the same or similar parts as part A; By reading the delivered order information containing the same or similar parts as part A, the proportional factor k of the number of production of the derived orders in the delivered orders relative to the number of production of the original order or the total number of production is obtained, and then the derived production quantity M3 of part A is obtained through the new production quantity base and the proportional factor k, wherein the total production quantity = the number of production of the original order + the number of production of the derived orders; The production management system presets a part A production conversion parameter K according to production requirements, and the part A production conversion parameter K serves as a basis for the production management system to select which manufacturing method of the part A production line. The production management system selects from the part A production lines of different manufacturing methods by numerically comparing the current scheduling output M1 of part A with the part A production conversion parameter K, or by numerically comparing the comprehensive scheduling output of the current scheduling output M1 of part A and the mergeable scheduling output M2 of part A with the part A production conversion parameter K, or by numerically comparing the comprehensive scheduling output of the current scheduling output M1 of part A, the mergeable scheduling output M2 of part A, and the derived scheduling output M3 of part A with the part A production conversion parameter K, and pushes the scheme to be confirmed to multiple user terminals for production scheduling decision, determines the production scheduling scheme according to the decision priority information and production scheduling decision information of the multiple user terminals, and sends the production scheduling plan or instruction to the selected part A production line according to the determined production scheduling scheme; The scheme to be confirmed is pushed to multiple user terminals for production scheduling decision, the scheme to be confirmed includes production scheduling composition information and part A production line recommendation information corresponding to the production scheduling composition information, and the production scheduling decision includes the following multiple interface operation items executed by the user terminal: Confirmation of the validity of the combined output M2; The modification of the output M2 can be merged; Confirmation of validity of the conditions for the combined production volume M2; The M2 condition modification of the combined output can be achieved; Confirmation of the validity of the derived output M3; Derivative displacement M3 modification; Confirmation of validity of the derived discharge volume M3 condition; Modification of the conditions for the derived output M3; The scheme is to be confirmed; Plan modification awaiting confirmation; The production method comprises the following steps: Step 1, the production management system based on shared collaborative information generates the current scheduled production volume M1 of part A according to the input part order; Step 2, the production management system compares the current production volume M1 of part A with the production conversion parameter K of part A. When the current production volume M1 of part A reaches the production conversion parameter K of part A, a production line of part A that is favorable for mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the current production volume M1 of part A does not reach the production conversion parameter K of part A, step 3 is entered; Step 3, the production management system reads the information of the mergeable orders containing the same or similar parts as part A to obtain the mergeable scheduling volume M2 of part A, and then compares the sum of the current scheduling volume M1 of part A and the mergeable scheduling volume M2 of part A with the aforementioned production conversion parameter K. When the sum reaches the aforementioned production conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the sum does not reach the production conversion parameter K of part A, step 4 is entered; Step 4, the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the number of derived order production schedules relative to the number of original order production schedules or the total number of production schedules in the delivered order, and then obtains the derived production schedule M3 of part A through the new production schedule base and the proportional factor k, and then compares the sum of the current production schedule M1 of part A, the mergeable production schedule M2 of part A, and the derived production schedule M3 of part A with the aforementioned production conversion parameter K. When the sum reaches the aforementioned production conversion parameter K, the production line of part A that is conducive to mass production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle is selected, and the to-be-confirmed solution is pushed to multiple user terminals. When the sum does not reach the production conversion parameter K of part A, the production management system directly selects the production line of part A that is conducive to scattered or small-batch production in terms of raw material status, front-end technology, number of processes, product stability, manufacturing cost and / or manufacturing cycle, and pushes the to-be-confirmed solution to multiple user terminals; Step 5: Multiple user terminals perform independent production scheduling decisions in the management interface of the production management system by executing one or more operation items in the multiple interface operation items. The production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of the multiple user terminals, and determines the production scheduling plan according to the production scheduling decision information of the multiple user terminals; Among them, the production management system manages the production scheduling decision authority of each user terminal according to the decision priority information of multiple user terminals, including allocating the executable authority of the interface operation items of each user terminal and allocating the order authority of each user terminal to execute one or more interface operation items; when the operation sequence restriction is lifted, the user terminal with a higher decision priority has the mandatory modification authority for the production scheduling decision information generated by the user terminal with a lower decision priority; Step 6, the production management system returns the production scheduling plan determined in step 5 to each user terminal for secondary confirmation; Step 7, the production management system sends a production schedule or instruction to the selected production line of part A according to the production schedule confirmed twice in step 6; Among them, when the production management system reads the mergeable order information containing the same or similar parts as part A, the same delivery cycle is used as the basis for order screening, and the delivery cycle is limited by date. The validity confirmation of the mergeable scheduling volume M2 condition includes the validity confirmation of the mergeable order cycle, and the modification of the mergeable scheduling volume M2 condition includes the modification of the mergeable order cycle; the validity confirmation of the derived scheduling volume M3 condition includes the validity confirmation of the derived scheduling volume M3 base and the validity confirmation of the proportional factor k, and the modification of the derived scheduling volume M3 condition includes the modification of the derived scheduling volume M3 base and the modification of the proportional factor k; when the production management system reads the delivered order information containing the same or similar parts as part A to obtain the proportional factor k of the derived order scheduling number relative to the original order scheduling number or the total scheduling number in the delivered order, it only accumulates and calculates the derived order scheduling number within the preset economic cycle, the validity confirmation of the derived scheduling volume M3 condition also includes the validity confirmation of the preset economic cycle of the derived order, and the modification of the derived scheduling volume M3 condition also includes the modification of the preset economic cycle of the derived order. The production management personnel customize the preset economic cycle in combination with the spare parts cost and the cooperation cycle of different terminal suppliers in the supply chain.

2. A method for sharing collaborative information production for discrete manufacturing systems according to claim 1, It is characterized in that The new production volume base in step 4 is the current production volume M1 of part A or the sum of the current production volume M1 of part A and the combinable production volume M2 of part A.

3. A shared collaborative information production system for discrete manufacturing systems. include: Production management system based on shared collaborative information; At least one set of part A production lines implementing different manufacturing methods for the same part A; It is characterized in that, through the production management system based on shared collaborative information and the at least one group of part A production lines that implement different manufacturing methods for the same part A, a shared collaborative information production method for a discrete manufacturing system as described in any one of claims 1-2 is executed.

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