CN109615165B - Flexible processing scheduling method based on ERP and MES data interaction technology - Google Patents
Flexible processing scheduling method based on ERP and MES data interaction technology Download PDFInfo
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Abstract
The invention discloses a flexible processing scheduling method based on an ERP and MES data interaction technology, wherein planned information data in an ERP system and information data of products in process in an MES system are interacted in a two-way mode, and all products take unique figure numbers as product numbers; when order information in an ERP system is changed or work-in-process information in an MES system is changed, the processing schedule is readjusted according to the new order information and the work-in-process information and the matching strategy, the production scheduling of the work-in-process is dynamically adjusted, and products in each order which are not certified can be delivered on time. The invention realizes the bidirectional intercommunication between the data in the ERP system and the data in the MES system, and dynamically adjusts the processing scheduling so as to simultaneously meet the requirements of the order product types and delivery dates in each order.
Description
Technical Field
The invention relates to the technical field of workshop scheduling, in particular to a flexible processing scheduling method based on an ERP and MES data interaction technology.
Background
At present, the production plan integration management and control function of a large-scale manufacturing enterprise can only track the exchange data among departments, and the execution condition inside a workshop still belongs to a blank window period. Particularly, the special conditions of the products in process are more and are likely to change at any time, so that the production management department cannot know the conditions of the products in process in time, and the problems of part shortage, material shortage, resource shortage and the like need to be reported layer by layer, and the problems cannot be found and solved quickly and efficiently. Meanwhile, after the production management part finds that the production arrangement needs to be adjusted and the production instruction is issued again, the execution condition of the change instruction is difficult to track, and whether the change instruction is executed and zeroed or not cannot be known in time, so that the conditions of problem lifting every day, instruction sending every day and untimely processing can be caused.
ERP: acronym for Enterprise Resource Planning System.
MES: an abbreviation of Manufacturing Execution System.
The ERP system can reflect the real-time requirements of customer orders related to products and delivery periods, and the MES system can reflect the real-time information of work-in-process products of different processing departments in the flexible production line and the real-time information of unfinished products of the customer orders in a planning period. The ERP system and the MES system have advantages, but for the conditions of a large-scale manufacturing enterprise, multiple orders, variable processing plans, variable production progress and the like, a single ERP system or a single MES system cannot meet the requirements of the large-scale manufacturing enterprise, and how to dynamically allocate the overall product requirements of different customer orders of a flexible production line in a current planning period in real time becomes one of research directions.
Disclosure of Invention
Aiming at the problems and the defects in the prior art, the invention aims to provide a flexible processing scheduling method based on an ERP and MES data interaction technology, which is used for bidirectionally communicating data in an ERP system and data in an MES system, simultaneously obtaining an order plan and a work-in-process processing condition, regularly adjusting the processing arrangement corresponding to a work-in-process queue according to the order plan and the work-in-process processing condition, and dynamically adjusting the processing scheduling so as to simultaneously meet the requirements of order product types and delivery dates in various orders.
The invention is realized by the following technical scheme: a flexible processing scheduling method based on ERP and MES data interaction technology is characterized in that planned information data in an ERP system and information data of products in the MES system are interacted in a two-way mode, wherein all the products take unique figure numbers as product numbers; when order information in an ERP system is changed or work-in-process information in an MES system is changed, the processing schedule is readjusted according to the new order information and the work-in-process information and the matching strategy, the production scheduling of the work-in-process is dynamically adjusted, and products in each order which are not certified can be delivered on time.
Further, in order to better implement the present invention, the matching strategy includes the following steps:
step S100: extracting order product information groups in the order information of each unchecked order in the ERP system;
the order product information set comprises a product number, a delivery date, a product quantity and an order number which are in one-to-one correspondence, and the order product information set is represented in the form of a product number, a product quantity, a delivery date and an order number; one order corresponds to one order information, and one order information corresponds to one or more incompletely identical order product information groups;
step S200: splitting each order information according to the order product information group extracted in the step S100 and recombining the order information into a daily order product information group according to the delivery date;
the reorganization of the daily order product information groups specifically means that the total number of products is obtained by summing the product numbers in the order product information groups with the same product numbers and delivery dates, and then one or more daily order product information groups are formed according to different product numbers, wherein the daily order product information groups are represented in the form of (product numbers, total product numbers and order numbers);
step S300: setting the priority levels of the daily orders according to the corresponding delivery dates of the daily order product information group, namely the earlier the delivery date is, the higher the priority level of the daily order is, the later the delivery date is, the lower the priority level of the daily order is, and the same the delivery date is, the same the priority level of the daily order is;
step S400: and processing scheduling is carried out according to the order of the priority of the daily order from high to low and the processing scheduling strategy.
Further, in order to better implement the invention, the processing scheduling strategies are divided into a first type of processing scheduling strategies, a second type of processing scheduling strategies and a third type of processing scheduling strategies, the first type of processing scheduling strategies, the second type of processing scheduling strategies and the third type of processing scheduling strategies are all premised on prior inventory information checking, namely, the quantity of products needing to be newly processed is calculated according to inventory information in an ERP system or an MES system, and then processing scheduling is carried out according to the relevance of the products needing to be newly processed;
in the step S400, when the processing schedule is performed, there may be a case where the same delivery date corresponds to only one order product or the same delivery date corresponds to only a plurality of order products: if the same delivery date only corresponds to one order product, processing scheduling is carried out according to a first type of processing scheduling strategy; if the same delivery date corresponds to only a plurality of ordered products, there may be one or more of the following three situations.
The first condition is as follows: multiple order products corresponding to the same delivery date are unrelated, parallel to each other and not crossed in the processing procedure, namely, the multiple order products are independently processed; at the moment, each order product is processed and scheduled according to the first type of processing scheduling strategy.
Case two: some or all order products in a plurality of order products corresponding to the same delivery date are related and have precedence in the processing procedure, namely one order product can be continuously processed only by taking another order product as a component, and the component and component relation exists; at this time, the order products with component-to-component relationship among the plurality of order products are processed and scheduled according to the second type of processing scheduling strategy.
Case three: some or all order products in a plurality of order products corresponding to the same delivery date are related and have cross but no composition relation on the processing procedures, namely, the order products with the same processing procedures respectively have different processing procedures but not the relation between components and parts; at this time, the order products which do not have the component-to-component relation but have the association among the plurality of order products are processed and scheduled according to the third type of processing scheduling strategy.
And processing and scheduling unrelated order products in the order products according to a first type of processing scheduling strategy, processing and scheduling order products with component-to-component relation in the order products according to a second type of processing scheduling strategy, and processing and scheduling related order products without component-to-component relation in the order products according to a third type of processing scheduling strategy.
Furthermore, in order to better implement the invention, the product priorities of the unrelated order products in the first type of processing scheduling strategy are equal and the product queues are independent; the first type of processing scheduling strategy specifically means that the processing scheduling information of all the processing procedures of each order product is arranged from front to back according to the sequence of the processing procedures.
Further, in order to better implement the present invention, the product priority of the order product as a component in the second type of process scheduling strategy is higher than the product priority of the order product as a component; the second type of processing scheduling strategy specifically refers to summing the quantity of the order products of the component serving as the order product of the other component with the quantity of the order products sold directly, calculating the total number to be processed of the order products capable of serving as the component, arranging the processing queues capable of serving as the order products of the component according to the first type of processing scheduling strategy, and adding subsequent processing of the order products of the other component into arrangement when the quantity of the order products capable of serving as the component meets the assembly requirement of the order products of the other component.
Further, in order to better implement the present invention, the third type of processing scheduling policy only needs to adopt the processing time optimal policy to arrange the processing sequence when the ordered products enter the same processing procedure at the same time.
Further, in order to better implement the present invention, the processing time optimization strategy specifically includes:
first, a scheduling problem is set: n workpieces are processed on m machines, each workpiece comprises one or more same working procedures, and each working procedure can be processed by any one machine in the optional machines;
secondly, setting a scheduling target: selecting a proper processing machine for each procedure and arranging the processing sequence of the procedures;
then, a constraint is selected: in the working procedure, the front and back sequence of the processing stations are restricted, the same machine can only process G workpieces at the same time, the same station can only process H workpieces at the same time, and G, H are natural numbers;
and arranging a plurality of groups of scheduling schemes by an ERP system or an MES system self-contained module according to the regularly updated process sequence, the processing time of each process, the processing time of each station in one process, the number of workpieces, the number of machines, the number of stations and the constraint in the ERP system and the MES system.
Further, in order to better implement the present invention, the ordered product may be an integrally formed part, may be a component composed of a plurality of parts, may be an assembly or an integral device composed of a plurality of components; when the ordered product is sold as a component, the process scheduling strategy is the same as the application method of the process scheduling strategy in step S400 when parts, components, assemblies or parts in the whole equipment are the same during the process scheduling.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the invention realizes the bidirectional intercommunication of data in an ERP system and data in an MES system, simultaneously obtains an order plan and the processing conditions of work-in-process, regularly adjusts the processing arrangement corresponding to a work-in-process queue according to the order plan and the processing conditions of work-in-process, and dynamically adjusts the processing scheduling so as to simultaneously meet the requirements of order product types and delivery dates in each order.
(2) The flexible processing scheduling method provided by the invention is based on an ERP system and an MES system of bidirectional interactive data, optimizes the processing schedule of the products in process again before the beginning of each set production cycle by using periodically updated data and a matching strategy, namely dynamically adjusts the processing plan and the processing schedule, and forms an optimization scheme according to the processing conditions capable of processing the products in process so as to meet the order requirements of all orders which are not checked and sold currently.
(3) The invention meets the conditions of production resource association or conflict such as machine coincidence, process coincidence and the like in the process of processing and scheduling, and under the condition of limited processing resources, the processing scheduling strategy is used for overall arrangement and coordination of a work-in-process processing queue and the like.
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FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
Example 1:
a flexible processing scheduling method based on ERP and MES data interaction technology is characterized in that planned information data in an ERP system and information data of products in the MES system are interacted in a two-way mode, wherein all the products take unique figure numbers as product numbers; when order information in an ERP system is changed or work-in-process information in an MES system is changed, the processing schedule is readjusted according to the new order information and the work-in-process information and the matching strategy, the production scheduling of the work-in-process is dynamically adjusted, and products in each order which are not certified can be delivered on time.
The matching strategy comprises the following steps:
step S100: extracting order product information groups in the order information of each unchecked order in the ERP system;
the order product information group comprises a product number, a delivery date, a product quantity and an order number which are in one-to-one correspondence, and is represented in a form of (the product number, the product quantity, the delivery date and the order number); one order corresponds to one order information, and one order information corresponds to one or more incompletely identical order product information groups;
step S200: splitting each order information according to the order product information group extracted in the step S100 and recombining the order information into a daily order product information group according to the delivery date;
the reorganization of the daily order product information groups specifically means that the product quantity in the order product information groups with the same product number and delivery date is summed to obtain the total product number, and then one or more daily order product information groups are formed according to different product numbers, wherein the daily order product information groups are represented in the forms of (product number, total product number and order number);
step S300: setting the priority levels of the daily orders according to the corresponding delivery dates of the daily order product information group, namely the earlier the delivery date is, the higher the priority level of the daily order is, the later the delivery date is, the lower the priority level of the daily order is, and the same the delivery date is, the same the priority level of the daily order is;
step S400: and processing scheduling is carried out according to the order of the priority of the daily order from high to low and the processing scheduling strategy.
The processing scheduling strategies are divided into a first type processing scheduling strategy, a second type processing scheduling strategy and a third type processing scheduling strategy, the first type processing scheduling strategy, the second type processing scheduling strategy and the third type processing scheduling strategy are all based on the premise of checking inventory information preferentially, namely, the quantity of products needing to be newly processed is calculated according to the inventory information in an ERP system or an MES system, and then the processing scheduling is carried out according to the relevance of the products needing to be newly processed.
The product priorities of the unrelated order products in the first type of processing scheduling strategy are equal and the product queues are mutually independent; the first type of processing scheduling strategy specifically means that the processing scheduling information of all the processing procedures of each order product is arranged from front to back according to the sequence of the processing procedures.
The product priority of the order product as the component in the second type of processing scheduling strategy is higher than the product priority of the order product as the component; the second type of processing scheduling strategy specifically refers to summing the number of order products of a component, which is used as an order product of another component, with the number of order products sold directly, calculating the total number to be processed of the order products which can be used as the component, arranging the processing queues of the order products which can be used as the component according to the first type of processing scheduling strategy, and adding subsequent processing of the order products of another component to the arrangement when the number of the order products which can be used as the component meets the assembly requirement of the order products of another component.
In the third type of processing scheduling strategy, only the processing sequence needs to be arranged by adopting the optimal processing time strategy when the order products enter the same processing procedure at the same time.
In the step S400, when the processing schedule is performed, there may be a case where the same delivery date corresponds to only one order product or the same delivery date corresponds to only a plurality of order products: if the same delivery date only corresponds to one order product, processing scheduling is carried out according to a first type of processing scheduling strategy; if the same delivery date only corresponds to multiple ordered products, there are one or more of the following three situations:
the first condition is as follows: multiple order products corresponding to the same delivery date are unrelated, parallel to each other and not crossed in the processing procedure, namely, the multiple order products are independently processed;
case two: some or all order products in a plurality of order products corresponding to the same delivery date are related and have precedence in the processing procedure, namely one order product can be continuously processed only by taking another order product as a component, and the component and component relation exists;
case three: some or all order products in a plurality of order products corresponding to the same delivery date are related and have cross but no composition relationship on the processing procedures, namely, the order products with the same processing procedures respectively have different processing procedures but not the relationship between assemblies and parts.
And processing and scheduling unrelated order products in the order products according to a first type of processing scheduling strategy, processing and scheduling order products with component-to-component relation in the order products according to a second type of processing scheduling strategy, and processing and scheduling related order products without component-to-component relation in the order products according to a third type of processing scheduling strategy.
Further, in order to better implement the present invention, the processing time optimization strategy specifically includes:
first, a scheduling problem is set: n workpieces are processed on m machines, each workpiece comprises one or more same procedures, and each procedure can be processed by any one of optional machines;
secondly, setting a scheduling target: selecting a proper processing machine for each procedure and arranging the processing sequence of the procedures;
then, a constraint is selected: in the working procedure, the front and back sequence of the processing stations are restricted, the same machine can only process G workpieces at the same time, the same station can only process H workpieces at the same time, and G, H are natural numbers;
and arranging a plurality of groups of scheduling schemes by an ERP system or an MES system self-contained module according to the regularly updated process sequence, the processing time of each process, the processing time of each station in one process, the number of the processes, the number of machines, the number of the stations and the constraint in the ERP system and the MES system.
The order product can be an integrally formed part, a component consisting of a plurality of parts, an assembly consisting of a plurality of components or integral equipment; when the ordered product is sold as a component, the process scheduling strategy is the same as the application method of the process scheduling strategy in step S400 when parts, components, assemblies or parts in the whole equipment are the same during the process scheduling.
In the step S400, if the same delivery date corresponds to a second case of a plurality of ordered products: some or all order products in a plurality of order products corresponding to the same delivery date are related and have precedence in the machining process, namely one order product can be continuously machined only by taking another order product as a part, and the relation between the part and the part exists. At this time, the order products with the relationship between the parts in the order products are processed and scheduled according to the second type of processing scheduling strategy.
In the step S400, if the same delivery date corresponds to a third situation of a plurality of ordered products: some or all order products in a plurality of order products corresponding to the same delivery date are related and have cross but no composition relation on the processing procedures, namely, the order products with the same processing procedures respectively have different processing procedures but not part-to-part relation. At this time, the order products which do not have the relationship between the components and parts but have the relationship among the plurality of order products are processed and scheduled according to a third type of processing scheduling strategy.
The process of the invention is shown in fig. 1, and the invention carries out bidirectional interaction based on the planned information data in the ERP system and the work-in-process information data in the MES system, obtains the order plan and the work-in-process conditions at the same time, regularly adjusts the processing arrangement corresponding to the work-in-process queue according to the order plan and the work-in-process conditions, and dynamically adjusts the processing scheduling so as to simultaneously meet the requirements of order product types and delivery dates in each order.
Example 2:
the present embodiment describes the matching strategy and the processing scheduling strategy in detail based on embodiment 1.
The matching strategy comprises the following steps:
step S100: extracting order product information groups in the order information of each unchecked order in the ERP system;
the order product information group comprises a product number, a delivery date, a product quantity and an order number which are in one-to-one correspondence, and is represented in a form of (the product number, the product quantity, the delivery date and the order number); one order corresponds to one order information, and one order information corresponds to one or more incompletely identical order product information groups;
step S200: splitting each order information according to the order product information group extracted in the step S100 and recombining the order information into a daily order product information group according to the delivery date;
the reorganization of the daily order product information groups specifically means that the total number of products is obtained by summing the product numbers in the order product information groups with the same product numbers and delivery dates, and then one or more daily order product information groups are formed according to different product numbers, wherein the daily order product information groups are represented in the form of (product numbers, total product numbers and order numbers);
step S300: setting the priority levels of the daily orders according to the corresponding delivery dates of the daily order product information group, namely the earlier the delivery date is, the higher the priority level of the daily order is, the later the delivery date is, the lower the priority level of the daily order is, and the same the delivery date is, the same the priority level of the daily order is;
step S400: and processing scheduling is carried out according to the order of the priority of the daily order from high to low and the processing scheduling strategy.
The step S100: extracting an order product information group in the order information of each unchecked order in the ERP system, wherein the specific contents are as follows:
date XX year 01 month 01 day 08: 00: orders which are not checked and sold on the ERP system currently comprise NO.1#, NO.2#, NO.3#, NO.4#, and NO.5 #; data related to the product number, delivery date, product quantity and order number in the original order information corresponding to each order are shown in table 1.
TABLE 1
Corresponding to the whole equipment A, A1, A2 and A3 are parts of the whole equipment A, the number of A1, A2 and A3 is one respectively, a1 and a2 are parts of the part A2, and the number of a1 and a2 is one respectively;
corresponding to the whole equipment B, B1 and B2 are parts of the whole equipment B, and the number of B1 and B2 is one respectively;
corresponding to the whole equipment C, the C1 and the C2 are parts of the whole equipment C, the number of the C1 is two, and the number of the C2 is one;
corresponding to the whole device D, D1, D2 and D3 are parts of the whole device D, and the number of D1, D2 and D3 is one respectively;
corresponding to the component Y, the whole device A and the whole device B form the component Y, and the number of the component Y is A, B.
Any one component or unitary apparatus or component or part may be sold as a product.
The step S200: splitting each order information according to the order product information group extracted in the step S100 and recombining the order information into a daily order product information group according to the delivery date, wherein the specific content is as follows;
the daily order product information set is regenerated from the order product information set for the unchecked order as shown in table 2.
TABLE 2
The step S300: and setting the priority level of the daily order according to the delivery date of the daily order product information group. At present, according to the delivery date, the order corresponding to XX year, 04 month and 01 day with the earliest time has the highest priority, namely 1; the order corresponding to XX year, 08 month and 01 day has the lowest priority of 6; as shown in table 2. If the orders are completely completed and the orders are checked out or new orders are added, the order priority is recalculated.
| Product weavingNumber (C) | Stock quantity | Time of information update |
| CF-(a1) | 2000 pieces | XX year 01 month 01 day 08:00 |
| CF-A3 | 400 pieces | XX year 01 month 01 day 08:00 |
| CF-B-(B1-B2) | 500 pieces | XX year 01 month 01 day 08:00 |
| CF-C-(2C1-C2) | 200 pieces | XX year 01 month 01 day 08:00 |
| CF-C1 | 100 pieces | XX year 01 month 01 day 08:00 |
| CF-D1 | 200 pieces | XX year 01 month 01 day 08:00 |
| CF-D2 | 400 pieces | XX year 01 month 01 day 08:00 |
| CF-D3 | 200 pieces | XX year 01 month 01 day 08:00 |
| CF-D-(D1-D2-D3) | 100 pieces | XX year 01 month 01 day 08:00 |
TABLE 3
Date XX year 01 month 01 day 08: 00: inventory information on the current MES system or ERP system relating to the product corresponding to the product number in Table 1 is shown in Table 3.
The step S400: and processing scheduling is carried out according to the order of the priority of the daily order from high to low and the processing scheduling strategy. The processing scheduling strategy is based on the premise of preferentially checking inventory information, namely, the quantity of products needing to be newly processed is calculated according to the inventory information in an ERP system or an MES system, and then the processing scheduling is carried out according to the relevance of the products needing to be newly processed. The related inventory information of the order product is checked according to the data of the tables 2 and 3 to obtain the updated type and quantity of the workpieces to be processed, which is specifically shown in the table 4.
TABLE 4
After data interaction between the ERP system and the MES system in the table 4, the order products corresponding to XX year 04, month 01 can be stored sufficiently and can wait for being delivered from the warehouse at any time, and the order products corresponding to the rest delivery dates need to be processed and scheduled.
a. Taking 100 pieces of integral equipment A as an example, the sequence of processing and arranging according to the sequence of parts, integral equipment and assemblies is described as follows:
firstly, processing 100 parts of a1 and a2 respectively, and then processing 100 parts of A2 by the parts a1 and a 2; machining 100 parts a 1; machining 100 parts a 3;
② the whole equipment A is processed by 100 parts A1, A2 and A3.
b. Taking 100 pieces of integral equipment B as an example, the sequence of processing and arranging according to the sequence of parts, integral equipment and components is described as follows:
processing 100 parts B1 and 100 parts B2;
② the whole equipment B is processed by 100 parts B1 and B2.
c. Taking 100 pieces of integral equipment C as an example, the sequence of processing and arranging according to the sequence of parts, integral equipment and assemblies is described as follows:
firstly, processing 200 parts of C1 and 100 parts of C2;
② the whole equipment C is processed by 200 parts C1 and 100 parts C2.
d. Taking the processing of 100 pieces of integral equipment D as an example, the order of processing arrangement according to the order of parts, components, integral equipment and assemblies is as follows:
processing 100 parts D1; machining 100 parts D2; machining 100 parts D3;
② the whole equipment D is processed by 100 parts D1, D2 and D3.
e. Taking the example of processing 100 components Y, the order of processing arrangement according to the sequence of parts, components, overall equipment, and components is described as follows:
firstly, processing 100 pieces of integral equipment A and 100 pieces of integral equipment B;
② the assembly Y is processed by 100 pieces of the whole equipment A, B.
Wherein the integrated apparatus A, B refers to a.
The specific types and numbers of the workpieces to be processed are shown in table 5, and the workpieces to be processed are rearranged according to the sequence of parts, components, overall equipment and assemblies.
TABLE 5
And checking the data of the inventory information in the ERP system and the MES system again to realize first-in first-out. After the stock product is extracted, the stock product is directly delivered out of the warehouse, and is listed in the work-in-process queue when the stock is insufficient, namely, the condition of the workpiece to be processed is changed according to the content of the table 5, as shown in the table 6.
TABLE 6
The processing schedule is performed according to the list of the parts to be processed on each date in table 6. The processing schedule can be realized by an ERP system or an MES system, which does not belong to the innovation content of the invention and belongs to the prior art, so the details are not repeated.
Example 3:
this example will be described in detail based on example 1 or 2.
The optimal processing time strategy specifically comprises the following steps:
first, a scheduling problem is set: n workpieces are processed on m machines, each workpiece comprises one or more same working procedures, and each working procedure can be processed by any one machine in the optional machines;
secondly, setting a scheduling target: selecting a proper processing machine for each procedure and arranging the processing sequence of the procedures;
then, a constraint is selected: in the working procedure, the front and back sequence of the processing stations are restricted, the same machine can only process G workpieces at the same time, the same station can only process H workpieces at the same time, and G, H are natural numbers;
and arranging a plurality of groups of scheduling schemes by an ERP system or an MES system self-contained module according to the regularly updated process sequence, the processing time of each process, the processing time of each station in one process, the number of the processes, the number of machines, the number of the stations and the constraint in the ERP system and the MES system.
An enterprise manager collects data in a flexible job shop by using advanced technologies such as the Internet of things and the like in a manufacturing shop, the method is used for driving and realizing scheduling and scheduling scheme adjustment by using the acquired data of a response scheduling shop, and aiming at different schemes, an optimal scheme, namely the maximum completion time minimum value, is determined by a scheduling rule placed on a server, so that high-level production operation is maintained for the job shop.
The flexible job shop scheduling problem is a typical NP-Hard problem, and the scheduling scheme can be changed due to various accidents in the production process. Manufacturing enterprises generate different types of data all the time, whether the manufacturing condition is good or not can be known by collecting and analyzing the data, and meanwhile, problems possibly occurring in the manufacturing process can be predicted and regulated in real time, so that the production efficiency is improved. The dynamic flexible job shop scheduling can effectively allocate processing resources, shorten the processing period and better adapt to increasingly intense competition of the market.
According to the invention, a dynamic flexible job shop scheduling model is established according to the actual situation of the manufacturing shop, the maximum completion time target is optimized by using data drive when the scheduling situation changes, and the dynamic adjustment of the scheduling scheme with the minimum maximum completion time is realized. The method and the system have the advantages that the possible situations of the scheduling scheme are predicted by utilizing the past manufacturing data of the enterprise and the data generated synchronously, the data are changed when the workshop production environment is about to change according to different situations, and then the scheduling scheme is readjusted by using the scheduling rule placed on the server, so that high-level production operation is maintained.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (3)
1. A flexible processing scheduling method based on ERP and MES data interaction technology is characterized in that: bidirectional interaction is carried out on planned information data in the ERP system and information data of products in process in the MES system, wherein all products take unique figure numbers as product numbers; when order information in an ERP system is changed or work-in-process information in an MES system is changed, readjusting the processing schedule according to the new order information and the work-in-process information and a matching strategy, dynamically adjusting the production scheduling of the work-in-process, and ensuring that products in each order which are not checked and sold can be delivered on time; the matching strategy comprises the following steps:
step S100: extracting order product information groups in the order information of each unchecked order in the ERP system;
the order product information group comprises a product number, a delivery date, a product quantity and an order number which are in one-to-one correspondence, and is represented in a form of (the product number, the product quantity, the delivery date and the order number); one order corresponds to one order information, and one order information corresponds to one or more incompletely identical order product information groups;
step S200: splitting each order information according to the order product information group extracted in the step S100 and recombining the order information into a daily order product information group according to the delivery date;
the reorganization of the daily order product information groups specifically means that the total number of products is obtained by summing the product numbers in the order product information groups with the same product numbers and delivery dates, and then one or more daily order product information groups are formed according to different product numbers, wherein the daily order product information groups are represented in the form of (product numbers, total product numbers and order numbers);
step S300: setting the priority levels of the daily orders according to the corresponding delivery dates of the daily order product information group, namely the earlier the delivery date is, the higher the priority level of the daily order is, the later the delivery date is, the lower the priority level of the daily order is, and the same the delivery date is, the same the priority level of the daily order is;
step S400: processing and scheduling according to the order of the priority of the daily order from high to low and a processing and scheduling strategy; the processing scheduling strategies are divided into a first type of processing scheduling strategies, a second type of processing scheduling strategies and a third type of processing scheduling strategies, the first type of processing scheduling strategies, the second type of processing scheduling strategies and the third type of processing scheduling strategies are based on the premise of checking inventory information preferentially, namely, the quantity of products needing to be newly processed is calculated according to the inventory information in an ERP system or an MES system, and then processing scheduling is carried out according to the relevance of the products needing to be newly processed;
in the step S400, when the processing schedule is performed, there may be a case where the same delivery date corresponds to only one order product or the same delivery date corresponds to only a plurality of order products: if the same delivery date only corresponds to one order product, processing scheduling is carried out according to a first type of processing scheduling strategy; if the same delivery date only corresponds to multiple ordered products, there are one or more of the following three situations:
the first condition is as follows: multiple order products corresponding to the same delivery date are unrelated, parallel to each other and not crossed in the processing procedure, namely, the multiple order products are independently processed;
case two: some or all order products in a plurality of order products corresponding to the same delivery date are related and have precedence in the processing procedure, namely one order product can be continuously processed only by taking another order product as a component, and the component and component relation exists;
case three: some or all order products in a plurality of order products corresponding to the same delivery date are related and have cross but no composition relation on the processing procedures, namely, the order products with the same processing procedures respectively have different processing procedures but not the relation between components and parts;
processing and scheduling unrelated order products in the order products according to a first type of processing scheduling strategy, processing and scheduling the order products with component-to-component relation in the order products according to a second type of processing scheduling strategy, and processing and scheduling the order products without component-to-component relation but with relevance in the order products according to a third type of processing scheduling strategy;
the product priorities of the unrelated order products in the first type of processing scheduling strategy are equal and the product queues are mutually independent; the first type of processing scheduling strategy specifically means that processing scheduling information of all processing procedures of each order product is arranged from front to back according to the sequence of the processing procedures;
the product priority of the order product as the component in the second type of processing scheduling strategy is higher than the product priority of the order product as the component; the second type of processing scheduling strategy specifically means that the number of order products of a component, which is used as an order product of another component, is summed with the number of directly sold order products, the total number to be processed of the order products which can be used as the component is calculated, a processing queue of the order products which can be used as the component is arranged according to the first type of processing scheduling strategy, and when the number of the order products which can be used as the component meets the assembly requirement of the order product of another component, the subsequent processing of the order product of another component is added to the arrangement;
in the third type of processing scheduling strategy, only the processing sequence needs to be arranged by adopting the optimal processing time strategy when the order products enter the same processing procedure at the same time.
2. The flexible processing scheduling method based on the ERP and MES data interaction technology as claimed in claim 1, wherein: the optimal processing time strategy specifically comprises the following steps:
first, a scheduling problem is set: n workpieces are processed on m machines, each workpiece comprises one or more same procedures, and each procedure can be processed by any one of optional machines;
secondly, setting a scheduling target: selecting a proper processing machine for each procedure and arranging the processing sequence of the procedures;
then, a constraint is selected: in the working procedure, the front and back sequence of the processing stations are restricted, the same machine can only process G workpieces at the same time, the same station can only process H workpieces at the same time, and G, H are natural numbers;
and arranging a plurality of groups of scheduling schemes by an ERP system or an MES system self-contained module according to the regularly updated process sequence, the processing time of each process, the processing time of each station in one process, the number of the processes, the number of machines, the number of the stations and the constraint in the ERP system and the MES system.
3. The flexible processing scheduling method based on the ERP and MES data interaction technology as claimed in claim 1 or 2, wherein: the order product is an integrally formed part, a part consisting of a plurality of parts, an assembly consisting of a plurality of parts or integral equipment; when the ordered product is sold as a component, the process scheduling strategy is the same as the application method of the process scheduling strategy in step S400 when parts, components, assemblies or parts in the whole equipment are the same during the process scheduling.
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