CN118313593A - Workshop production scheduling method and system - Google Patents
Workshop production scheduling method and system Download PDFInfo
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- CN118313593A CN118313593A CN202410405154.2A CN202410405154A CN118313593A CN 118313593 A CN118313593 A CN 118313593A CN 202410405154 A CN202410405154 A CN 202410405154A CN 118313593 A CN118313593 A CN 118313593A
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Abstract
The invention belongs to the technical field of intelligent manufacturing, and provides a workshop production scheduling method and system, wherein the workshop production scheduling method comprises the following steps: maintaining basic information of a workshop model, wherein the basic information comprises production resource information, time resource information and process model information; acquiring real-time inventory information, production orders and purchase orders of all sub-items of materials; adjusting basic information of a workshop model according to a production order to be produced; according to a preset optimization target, solving the production order in the workshop model to obtain a production scheduling result and a complete set analysis result, wherein the complete set analysis result is also used for forming constraint conditions of the workshop model. The method has the advantages that material data of multiple sources are integrated, a material alignment analysis model combined with a production plan is constructed, the material alignment is used as a constraint condition for model solving, and the material alignment is dynamically analyzed in the solving process, so that the plan creation efficiency is improved, and the production scheduling scheme is optimized.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to a workshop production scheduling method and system.
Background
In conventional production modes, production planning and scheduling typically relies on human labor for management and operation. This approach is not only inefficient, but also difficult to accommodate in large-scale, complex production environments. As technology advances, more and more businesses begin to introduce planning and scheduling systems as an aid to address planning and scheduling issues in an automated manner.
In the actual production process, besides the capacity limitation of equipment and personnel, the material nesting property is also required to be considered. Most of the current planning and scheduling systems only take material alignment sleeves as a pre-inspection item, and after inspection, only plan and schedule production of aligned production orders, and update no alignment sleeve results later. When there is a dependency between production orders, different production plans can obtain different material alignment analysis results, and it can be seen that this manner cannot accurately reflect the material alignment in the production process.
Disclosure of Invention
The invention aims to provide a workshop production scheduling method and system for solving the problems.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
A workshop production scheduling method comprises the following steps:
Maintaining basic information of a workshop model, wherein the basic information comprises production resource information, time resource information and process model information;
acquiring real-time inventory information, production orders and purchase orders of all sub-items of materials;
adjusting basic information of a workshop model according to a production order to be produced;
According to a preset optimization target, solving the production order in the workshop model to obtain a production scheduling result and a complete set analysis result, wherein the complete set analysis result is also used for forming constraint conditions of the workshop model.
Further, the method further comprises the steps of, before solving the production order:
And carrying out material alignment feasibility pre-checking on the production order to be produced by using the quantity of sub-items of the real-time stock, the production order and the purchase order.
Further, when solving the production order, if the inventory information of the sub-item materials cannot meet the production order, taking the finishing time of the associated production plan as the nesting time of the sub-item materials; or the scheduled delivery time of a production order or a purchase order is taken as the nesting time of the sub-items.
Further, the scheduling information includes shop operation schedule and purchase delivery schedule; the workshop operation plan is used for determining the required production quantity, production time information and production process information of the sub-items; the purchase delivery schedule is used to determine a purchase quantity of the sub-item material and a purchase schedule time.
The invention also provides a workshop production scheduling system, which comprises the following steps:
an order management module configured to construct a production order and a purchase order, and adjust a planned completion time of the production order and a priority of the production order as required;
The material management module is configured to construct material information and BOM information and determine material information participating in material packing calculation;
A workshop model management module configured to determine production time and production flow of the production order according to workshop resources to form a workshop model for solving production information, wherein the workshop model comprises a plurality of constraint conditions;
The production scheduling module is configured to solve the production order in the workshop model according to a preset optimization target to obtain a production scheduling result and a complete set analysis result; the nested analysis results are also used to form constraints for the plant model.
Further, the workshop model at least comprises four parts of production resources, time resources, a process model and a flush model; the production resource is used for determining artificial information and equipment information of workshop internal reference production; the time-side resources are used to determine factory production time information; the process model is used to determine the relationship between the production process flow and the production resource; the fit model is used to determine order fit time information.
Further, the order nesting time information is determined by the last nesting time of all the sub-item materials, and the nesting time of each sub-item material is determined by the inventory information of the sub-item material.
Further, when the inventory information of any sub-item cannot meet the production order, determining the time-to-fit according to the production plan, the production order or the purchase order of the sub-item.
Further, the preset optimization objective includes production cycle priority or meeting intersection priority.
Compared with the prior art, the invention at least comprises the following beneficial effects:
(1) Integrating material data of a plurality of sources, further perfecting a production problem model, and simultaneously constructing a material alignment analysis model combined with a production plan so as to quickly and accurately solve the material alignment;
(2) And the material alignment is used as a constraint condition for algorithm solving, the material alignment is dynamically analyzed in the algorithm solving process, the workload of planning personnel is effectively reduced, and the working efficiency is improved.
Drawings
FIG. 1 is a flow chart showing the steps of a method for scheduling production according to a first embodiment of the present invention;
FIG. 2 is a frame diagram of a plant model in accordance with a first embodiment of the present invention;
FIG. 3 is a block diagram of a production scheduling system in accordance with an embodiment of the present invention.
Detailed Description
It should be noted that the description as it relates to "first", "second", "a", etc. in the present invention is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In addition, the technical solutions of the embodiments of the present invention may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the technical solutions, and when the technical solutions are contradictory or cannot be implemented, the combination of the technical solutions should be considered as not existing, and not falling within the scope of protection claimed by the present invention.
The following are specific embodiments of the present invention, and the technical solutions of the present invention are further described with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
Example 1
In this embodiment, a workshop production scheduling method is provided, as shown in fig. 1, which includes the following steps:
s1, maintaining basic information of a workshop model, wherein the basic information comprises production resource information, time resource information and process model information;
S2, acquiring real-time inventory information, production orders and purchase orders of all sub-items of materials;
S3, adjusting basic information of a workshop model according to a production order to be scheduled;
and S4, solving the production order in the workshop model according to a preset optimization target to obtain a production scheduling result and a complete set analysis result, wherein the complete set analysis result is also used for forming constraint conditions of the workshop model.
As shown in fig. 2, the shop model is composed of a production resource, a time resource, a process model, and a flush model. The production resources, time resources and process models in the shop model belong to static resources and therefore require maintenance in advance.
The production resource information comprises the quantity and state information of personnel, groups, equipment, dies and the like participating in production in a workshop. The time resource information includes factory production time and shift information corresponding to the production resource. The process model information is used to describe the relationship of the process route to the production resources, such as specifying which production resources a process can be produced from.
The nesting model is used to calculate the nesting time of a production order to be placed, which relates to all real-time inventory, production plans, production orders, purchase orders, etc. information of sub-items associated with the production order to be placed. The content related to the alignment model has timeliness, belongs to dynamic resources, and needs to acquire the latest information in real time during scheduling.
The complete set of single sub-item materials is based on stock, and when the stock quantity cannot be satisfied, the production plan, the production order and the purchase order are considered in sequence. If the production order has created a production plan, then the production plan is validated. Thus, the entire order flush time is the last flush time for all sub-items.
After the basic information of the workshop model and the complete set information (real-time inventory information, production orders and purchase orders) of all sub-items of materials are determined, the production priority is required to be adjusted according to the production orders to be produced, and meanwhile, the basic information of the workshop model is further adjusted according to actual conditions such as temporary abnormality of equipment, so that information collection before production is completed, namely constraint conditions of the workshop model for calculation and solution are determined.
And then, according to the selected optimization target, solving the selected production order by utilizing an algorithm, thereby obtaining production scheduling result information and a complete set of analysis result.
Optimization objectives include production cycle priorities or meeting traffic cycle priorities. Production cycle first refers to the minimum time for the latest production order to complete. Meeting the priority of the delivery period refers to meeting the delivery period of all the orders to be placed for producing the production orders, and if the delivery period cannot be fully met, the production orders with high priority are prioritized.
In the specific solving process, firstly, the material alignment feasibility pre-checking is carried out on the production order to be produced according to the quantity of sub-items of real-time stock, the production order and the purchase order, and the production order with the uneven sleeve is directly eliminated.
Meanwhile, the rest to-be-arranged production orders are distinguished from each other in order that the production orders can be directly produced according to the stock, the production can be carried out after the purchase orders are nested, and the production of the materials related to the production orders can be carried out after the production plan of the materials related to the to-be-produced orders is completed. The following logic processes:
(1) Can be directly produced according to the stock: the inventory quantity of the sub materials is enough to be produced, and the production starting time is unlimited;
(2) After the purchase orders are nested, the production can be carried out: taking the planned delivery time of the purchase order as the nesting time of the sub-item materials, thereby carrying out scheduling;
(3) After the production order related material production plan is finished, the production can be carried out: and taking the finishing time of the associated production plan as the nesting time of the sub-item materials, thereby carrying out production scheduling.
After solving, the scheduling information output by the shop model includes a shop operation plan and a procurement delivery plan. The plant operation plan contains production orders, procedures, production resources used, production quantities, production start and end times, etc. The purchasing delivery schedule comprises production orders, sub-item materials, schedule quantity and schedule time, so that purchasing personnel can communicate with suppliers based on the production orders, the sub-item materials, and the materials can be delivered in time.
The complete set analysis result is used for checking the complete set conditions of all production orders related to the current production, so as to obtain corresponding material shortage information, and the corresponding material shortage information can be referred to and used by purchasing personnel.
According to the embodiment, the material alignment model is built by combining the production plan, the material alignment is used as a constraint condition for algorithm solution when the production scheduling solution is carried out, the material alignment performance is dynamically analyzed in the algorithm solution process, namely, the output production scheduling information is adjusted in real time when the model solution calculation is carried out by the alignment analysis result, so that the production scheduling problem model which is more in line with the actual production is obtained, and the discharged plan is more executable.
Example two
In this embodiment, as shown in fig. 3, there is provided a workshop production scheduling system, including the following:
an order management module configured to construct a production order and a purchase order, and adjust a planned completion time of the production order and a priority of the production order as required;
The material management module is configured to construct material information and BOM information and determine material information participating in material packing calculation;
A workshop model management module configured to determine production time and production flow of the production order according to workshop resources to form a workshop model for solving production information, wherein the workshop model comprises a plurality of constraint conditions;
The production scheduling module is configured to solve the production order in the workshop model according to a preset optimization target to obtain a production scheduling result and a complete set analysis result; the nested analysis results are also used to form constraints for the plant model.
The order management module can manually create or synchronize the production order and the purchase order in the ERP system under manual operation, and can adjust the planned completion time and priority of the production order.
The material management module is used for manually creating or synchronizing material information and BOM information in the ERP system, and can set whether sub-items in the BOM participate in material complete set calculation.
The workshop model management module comprises: a production resource unit, a time resource unit and a process model unit. The production resource unit is used for maintaining basic information such as personnel, teams, equipment, molds and the like;
the time resource unit is used for maintaining factory calendar information for distinguishing working days from rest days and production shift information for specifying which time periods of the working days are normal production. The process model unit is used for setting the relation between the process route and the production resources, including the production time of the working procedures, the front-back relation among the working procedures and the processable production resources associated with each working procedure.
The scheduling module comprises a planning scheduling unit and a scheduling information output unit. The planning scheduling unit is used for selecting a production order to be scheduled, further modifying order priority and adjusting basic information of the workshop model, and inputting the information into an algorithm of the workshop model by selecting an optimization target so as to solve scheduling information and a complete set of analysis result. The scheduling information output unit is used for checking scheduling information and complete set analysis results obtained after solving, and the scheduling information comprises a workshop operation plan and a purchase delivery plan.
The plant operation plan contains production orders, procedures, production resources used, production quantities, production start and end times. The purchasing delivery schedule comprises production orders, sub-item materials, schedule quantity and schedule time, and purchasing personnel communicate with suppliers according to the production orders, the sub-item materials, and the materials can be delivered in time. The complete set analysis result is used for checking the complete set conditions of all production orders related to the current production, so as to obtain corresponding material shortage information, and the corresponding material shortage information can be referred to and used by purchasing personnel.
In the system provided by the embodiment, material data of a plurality of sources are integrated, a scheduling problem model is further improved, meanwhile, a material alignment analysis model combined with a production plan is constructed, so that the material alignment performance is quickly and accurately solved, the material alignment performance is dynamically analyzed in the solving process by taking the material alignment as a constraint condition of model solving, the efficiency of plan creation is improved, and a scheduling scheme is optimized.
The specific embodiments described herein are offered by way of example only to illustrate the spirit of the invention. Those skilled in the art may make various modifications or additions to the described embodiments or substitutions thereof without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.
Claims (9)
1. The workshop production scheduling method is characterized by comprising the following steps of:
Maintaining basic information of a workshop model, wherein the basic information comprises production resource information, time resource information and process model information;
acquiring real-time inventory information, production orders and purchase orders of all sub-items of materials;
adjusting basic information of a workshop model according to a production order to be produced;
According to a preset optimization target, solving the production order in the workshop model to obtain a production scheduling result and a complete set analysis result, wherein the complete set analysis result is also used for forming constraint conditions of the workshop model.
2. The method of shop production scheduling of claim 1, further comprising the steps of, prior to solving the production order:
And carrying out material alignment feasibility pre-checking on the production order to be produced by using the quantity of sub-items of the real-time stock, the production order and the purchase order.
3. The workshop production scheduling method according to claim 2, wherein when solving the production order, if the inventory information of the sub-item cannot meet the production order, the finishing time of the associated production plan is taken as the nesting time of the sub-item; or the scheduled delivery time of a production order or a purchase order is taken as the nesting time of the sub-items.
4. The plant production scheduling method of claim 1, wherein the scheduling information includes a plant operation plan and a procurement delivery plan; the workshop operation plan is used for determining the required production quantity, production time information and production process information of the sub-items; the purchase delivery schedule is used to determine a purchase quantity of the sub-item material and a purchase schedule time.
5. A plant production scheduling system, according to claim 1, characterized by comprising the following steps:
an order management module configured to construct a production order and a purchase order, and adjust a planned completion time of the production order and a priority of the production order as required;
The material management module is configured to construct material information and BOM information and determine material information participating in material packing calculation;
A workshop model management module configured to determine production time and production flow of the production order according to workshop resources to form a workshop model for solving production information, wherein the workshop model comprises a plurality of constraint conditions;
The production scheduling module is configured to solve the production order in the workshop model according to a preset optimization target to obtain a production scheduling result and a complete set analysis result; the nested analysis results are also used to form constraints for the plant model.
6. The plant production scheduling system of claim 5, wherein the plant model comprises at least four parts of a production resource, a time resource, a process model, and a flush model; the production resource is used for determining artificial information and equipment information of workshop internal reference production; the time-side resource is used to determine factory production time information; the process model is used to determine a relationship between a production process flow and a production resource; the fit model is used to determine order fit time information.
7. The plant production scheduling system of claim 6, wherein the order set time information is determined by a last set time of all sub-items, and wherein the set time of each sub-item is determined by inventory information of the sub-item.
8. The plant production scheduling system of claim 7, wherein when the inventory information of any sub-item cannot satisfy the production order, the time to fit is determined by a production plan, a production order, or a purchase order of the sub-item.
9. The plant production scheduling system of claim 5, wherein the predetermined optimization objective comprises production cycle priority or meeting lead time priority.
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