CN113052435A - Production scheduling method, equipment and storage medium - Google Patents

Production scheduling method, equipment and storage medium Download PDF

Info

Publication number
CN113052435A
CN113052435A CN202110220413.0A CN202110220413A CN113052435A CN 113052435 A CN113052435 A CN 113052435A CN 202110220413 A CN202110220413 A CN 202110220413A CN 113052435 A CN113052435 A CN 113052435A
Authority
CN
China
Prior art keywords
production
product
production line
scheduling
line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110220413.0A
Other languages
Chinese (zh)
Inventor
李卫国
陈凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Aolipu Automation and Control System Co Ltd
Original Assignee
Qingdao Aolipu Automation and Control System Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Aolipu Automation and Control System Co Ltd filed Critical Qingdao Aolipu Automation and Control System Co Ltd
Priority to CN202110220413.0A priority Critical patent/CN113052435A/en
Publication of CN113052435A publication Critical patent/CN113052435A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316Sequencing of tasks or work
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

In the embodiment of the application, when a product to be scheduled is scheduled, a scheduling mode adapted to each product category can be determined to schedule the product based on the demand information, the production information of a client and the attribute of the product to be scheduled. In the production scheduling process, other constraint conditions can be combined to perform balanced production scheduling on the production quantity of each production line and among the production lines, so that the whole production efficiency is improved, and the waste of time and material resources is reduced.

Description

Production scheduling method, equipment and storage medium
Technical Field
The present disclosure relates to the field of device manufacturing technologies, and in particular, to a method, a device, and a storage medium for production scheduling.
Background
In the production process of the equipment, in order to accelerate the production efficiency and ensure that the production task is completed on time, before production, a production scheduling worker can make a production scheduling plan according to the production order information by experience so as to realize reasonable production.
However, in the actual production process, the production process of many devices is complicated, the requirements of different types of devices and the requirements of the same type of devices with different models are different in the production process, and the speed of the production progress is limited by various factors such as production devices and labor. Therefore, it is difficult to satisfy these uncertainties and irregularities by simply manually planning a scheduling plan, which easily causes disorder of production order, resulting in waste of various resources and low production efficiency.
Disclosure of Invention
Aspects of the application provide a production scheduling method, equipment and storage medium, which are used for improving the rationality of a scheduling plan, reducing resource waste in a production process and improving production efficiency.
The embodiment of the application provides a production scheduling method, which comprises the following steps: generating production order information based on the customer order information, wherein the production order information at least comprises product types related to the products to be produced, product models under the product types, and production lines and production shifts thereof corresponding to the product types; aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category; for each production line allocated to a product to be produced, with the production shift of the production line as a constraint, performing production scheduling on the production amount allocated to the production line according to a production scheduling mode matched with the model of the product allocated to the production line to obtain production scheduling plan information of the production line; and carrying out production control on at least one production line according to the scheduling plan information of at least one production line distributed to the products to be produced corresponding to each product category.
The embodiment of the present application further provides a production scheduling device, including: a processor and a memory storing a computer program; the processor to execute the computer program to: according to the generated production order information, aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category; for each production line allocated to a product to be produced, with the production shift of the production line as a constraint, performing production scheduling on the production amount allocated to the production line according to a production scheduling mode matched with the model of the product allocated to the production line to obtain production scheduling plan information of the production line; according to the scheduling plan information of at least one production line allocated to the products to be produced corresponding to each product category, carrying out production control on the at least one production line; the production order information at least comprises product types related to the products to be produced, product models under the product types, production lines corresponding to the product types and production shifts of the production lines.
Embodiments of the present application also provide a computer readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the steps in the method implementation of the present application.
Embodiments of the present application also provide a computer program product, which includes a computer program/instruction, and when the computer program/instruction is executed by a processor, the processor is caused to implement the steps in the method provided by the embodiments of the present application.
In the embodiment of the application, when the product to be scheduled is scheduled, the scheduling mode adapted to each product category can be determined for scheduling based on the requirement information and the production information of the client and the attribute of the product to be scheduled. In the production scheduling process, other constraint conditions can be combined to perform balanced production scheduling on the production quantity of each production line and among the production lines, so that the whole production efficiency is improved, and the waste of time and material resources is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1a is a schematic structural diagram of a production system according to an embodiment of the present disclosure;
FIGS. 1 b-1 d are schematic diagrams of scheduling process data tables according to embodiments of the present application;
FIG. 2 is a flow chart of a method for scheduling production according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a production scheduling apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
An embodiment of the present application provides a production system, and fig. 1a is a schematic structural diagram of the production system according to the embodiment of the present application. As shown in fig. 1a, the production system includes a resource processing device 10 and a production scheduling device 20, where the resource processing device 10 is a platform having planning and management for enterprise resources, and may be implemented, for example, by using an enterprise management solutions System (SAP); the production Scheduling facility 20 is a control system that solves the production Scheduling problem and the production resource Scheduling problem, and may be implemented by an Advanced Planning and Scheduling (APS), for example.
In an embodiment of the present application, a production system may provide production services to customers based on their needs. As shown in fig. 1a, a customer may provide a customer order required for producing a product to the resource processing device 10 through a client, where the customer order may include information such as a product category, a product model under the product category, a quantity, and a corresponding order date and delivery date required for the customer to specify a production plant to produce the product. Further, as shown in fig. 1a, the resource processing device 10 may determine production information corresponding to specific information in the customer order according to the specific information, and generate production order information based on the customer order information.
The production order information at least comprises the product type related to the product to be produced, the product model under the product type, the delivery date, each production line corresponding to each product type and the production shift thereof. For example, if the product category in the customer order is refrigerator, the resource processing device 10 may determine each production line and production shift that can produce refrigerator according to the refrigerator category, and if the product category in the customer order is washing machine, the resource processing device 10 may determine each production line and production shift that can produce washing machine according to the washing machine category. In an alternative embodiment of the present application, the customer orders of the same batch may be provided by the same customer or different customers, and the resource processing apparatus 10 may generate one piece of production order information for the customer orders of the same batch when generating the production order information, or may generate corresponding production order information for the customer orders of the same batch according to different customers, which is not limited herein.
Further, as shown in fig. 1a, the production scheduling device 20 may obtain the production order information from the resource processing device 10, and the scheduling staff may confirm the obtained production order information, and in the case of no error, the production scheduling device 20 may allocate the total production amount of the products to be produced in the product category to at least one production line corresponding to the product category for each product category in the production order information, with the product quantity balance of each production line as a target. The aim of balancing the product quantity of each production line is to ensure that the production quantity in charge of each production line is not different when the production quantity is distributed to at least one production line corresponding to the type of the product to be produced, for example, the production quantities can be the same or almost the same, so as to ensure that the workload of staff corresponding to each production line is not different, the production progress among the production lines is not different too much, and further, the coordination of the overall production progress is ensured.
Alternatively, the production scheduling facility 20 may obtain the production order information from the resource processing facility 10 by means of an interface interaction, for example, the resource processing facility 10 may be provided with a production order interface, and the production scheduling facility 20 may obtain the production order information by calling the production order interface. In the implementation manner of data transmission, database interaction, file interaction, information interaction based on a TCP/IP protocol, information interaction based on an HTTP protocol, or information interaction based on a WebService protocol may be adopted, and a specific transmission manner may be flexibly selected according to actual requirements, which is not limited herein.
Further, in the case of determining the production amount corresponding to each production line, the production scheduling apparatus 20 may schedule the production amount allocated to the production line according to a scheduling manner adapted to the model of the product allocated to the production line, with the production shift of the production line as a constraint, for each production line allocated to the product to be produced, to obtain scheduling plan information of the production line. Each production line allocated to the to-be-produced product is a production line selected for producing the to-be-produced product, in the actual production process, the production shift corresponding to each production line may be different, and the production shift may also be adjusted according to specific conditions in the production process, so that when each production line is scheduled, the selected production line can be scheduled based on the production shift currently corresponding to the selected production line.
In addition, because products distributed to the same production line may include multiple models, and the generation processes corresponding to products of different models are also different, based on the constraints of the production shift, a production scheduling manner adapted to the model of the product distributed to the production line can be determined by combining the model of the product distributed to each production line, and the production capacity distributed to the production line is scheduled according to the determined production scheduling manner, so that the production scheduling plan information of the production line is obtained.
Under the condition of obtaining the scheduling plan information, as shown in (c) and (c) in fig. 1a, the production workshop may perform production control on at least one production line according to the scheduling plan information of at least one production line allocated to the product to be produced corresponding to each product category, and produce the corresponding product according to the scheduling plan information. Alternatively, the production scheduling device 20 may output the obtained scheduling plan information in the form of a table or a text for use by the production shop. Further, in case that the production workshop completes the production task, as shown in fig. 1a and ((b)) the produced product can be shipped according to the delivery date and delivered to the customer for the customer to accept and use the produced product.
In an actual production plant, the equipment used by each production line may be different, and the production progress of the production line in the production process is faster, i.e., the corresponding production capacity is higher, the better the equipment is used, so that different levels can be determined for each production line without different production capacity, and the preferred order of the production capacity of the distributed products of each production line can be determined based on the levels of the production lines. Optionally, when the production scheduling device 20 allocates the total production amount of the to-be-produced products in the product category to at least one production line corresponding to the product category with the product number balance of each production line as a target for each product category, the priority of each production line corresponding to the product category may be determined according to the current production progress information and the production capacity information of each production line corresponding to each product category, and the total production amount of the to-be-produced products in the product category may be allocated to at least one production line corresponding to the product category with the product number balance of each production line as a target in combination with the priority of each production line corresponding to the product category and/or the priority of the product model related to the to-be-produced products.
In an optional embodiment, when determining the priority of each production line corresponding to each product category, the production scheduling apparatus 20 may determine the production line with higher production capacity as higher priority, and further optionally, may also determine the corresponding priority in combination with the current production schedule of the production line. For example, if the production capacities of a plurality of production lines provided with the same equipment are almost the same, the priorities of the production lines are also the same, and in order to determine which production line to assign the production amount of the product to preferentially from among the production lines having the same production capacity, which production line is higher in priority may be further determined according to the progress of the product currently being produced by each production line. Optionally, the production line that completes the currently produced product first may be determined to be of higher priority, that is, the production line with higher priority can be vacated in advance to produce the next product, and the overall production progress is improved.
In the embodiment of the present application, the priority of the product model related to the product to be produced may be specified by the customer, or may be determined by the production scheduling apparatus 20 according to delivery dates or production attributes corresponding to various models of products. For example, when a customer submits a customer order, some product models can be designated to be produced first, and the product models designated to be produced first have higher priority than the product models not designated; or, products of certain product types need to be produced by using special equipment, and when the products of the types are distributed to various production lines, the products of the types can be preferentially distributed to the production lines configured with the corresponding special equipment; alternatively, in the case where the customer does not specify the product type priority and does not need special equipment for dedicated production, the production scheduling equipment 20 may determine, according to the delivery date sequence corresponding to the product of each product type, the product type number delivered first as the highest priority and the product type number delivered latest as the lowest priority in the order from the morning to the evening.
In this embodiment, when the production scheduling apparatus 20 allocates the total production amount of the to-be-produced products in the product category to at least one production line corresponding to the product category by using the product quantity balance of each production line as a target and combining the priorities of each production line corresponding to the product category, the total production amount of the to-be-produced products in the product category may be allocated to at least one production line according to the order from high to low of the priorities of each production line corresponding to the product category, with the goal that the allocated production amount of each production line does not exceed a preset production line quantity threshold and the difference between the allocated production amounts of any two production lines does not exceed a set production line difference threshold. Alternatively, the production scheduling apparatus 20 may allocate the production amount of the to-be-produced product to each production line in units of at least one time granularity when allocating the production amount of the to-be-produced product to each production line. Wherein the allocated production capacity of each production line refers to the allocated production capacity of each production line in unit time granularity; the preset production line quantity threshold value is the maximum value of the production quantity distributed to each production line in unit time granularity; the set line difference threshold is the maximum value of the difference between the production volumes allocated to any two production lines in the unit time granularity.
Alternatively, the production scheduling apparatus 20 may determine the corresponding production time period according to the total production amount and delivery date of the product corresponding to each model under each product category and determine the production amount of the product corresponding to each model within the unit time granularity according to the unit time granularity when distributing the production amount of the product to at least one production line corresponding to each product category. Further, in the case where the production amount of the at least one production line corresponding to each category of products within the unit time granularity is determined, then for the at least one production line corresponding to each product category, the production scheduling apparatus 20 may preferentially allocate the production amount of the product with the higher product model priority to the production line with the higher priority in order of the priority of the at least one production line from high to low. And if the distributed production capacity of the current production line reaches the preset production line quantity threshold value of the production line in unit time granularity and does not reach the distributed production total quantity, distributing the residual production capacity corresponding to the distributed to-be-produced product to the production line with the priority lower than the priority of the current production line by one level, and so on until the distribution of the residual production capacity corresponding to the distributed to-be-produced product is finished.
Optionally, when the production scheduling apparatus 20 allocates the production amount of the to-be-produced product to at least one production line within the unit time granularity, if the remaining production amount of the to-be-produced product allocated last is very different from the production amount of the to-be-produced product already allocated, and the difference value exceeds the set production line difference threshold, the amount of the to-be-produced product allocated to each production line is readjusted according to the balance of the amount of the to-be-produced product allocated to each production line as the target, so that the difference between the production amounts allocated to any two production lines within the unit time granularity after adjustment is smaller than the set production line difference threshold.
For example, the production amount of the product to be produced is allocated to each production line in units of weeks, and if the total production amount of a certain product type is 1200 pieces, wherein there are 3 production lines that can produce the type of product, and the 3 production lines are 4 weeks from the date when the production is possible to the date of delivery of the type of product, the production amount per week of the 3 production lines can be determined to be 300 pieces. If the threshold value of the number of the production lines corresponding to one week of each production line is 100, 100 production lines with the first priority in the three production lines can be allocated, then 100 production lines with the second priority can be allocated, and finally 100 production lines with the lowest priority can be allocated.
For another example, if the total amount of production of the product of the above-mentioned product model is 900 pieces, it can be determined that the 3 lines produce 250 pieces per week, and then 100 pieces can be allocated to the first-priority line, then 100 pieces can be allocated to the second-priority line, and finally 50 pieces can be allocated to the lowest-priority line among the three lines. Since the difference between the production capacity of the line of the third priority and the production capacities of the lines of the first and second priorities is greater than the set line difference threshold (assuming that the line difference threshold set for the line producing the product of the model is 30), the distributed production capacities of the 3 lines can be adjusted to 90, 85, or 90, 80, specifically according to the actual demand, with the goal of balancing the distributed product quantities of the respective lines.
Further optionally, if the total production amount of the product is uniformly distributed into each unit time granularity according to the determined production time length, and the production amount distributed to at least one production line in each unit time granularity is the case that the difference between the production amounts distributed to the two production lines in the unit time granularity is greater than the set production line difference threshold, the production time length may be readjusted according to the preset production line number threshold of each production line in the unit time granularity to redistribute the production amount to at least one production line.
For example, in the above embodiment, when the products with the total production amount of 900 pieces are evenly distributed to 4 weeks for production, and there is a case where the difference between the production amounts corresponding to the two production lines is greater than 30 in each week, the production time period may be adjusted to 3 weeks and the production amount of each production line may be redistributed according to the condition that each production line can produce 100 pieces of the product of the model at most in one week. Further, if the production volume in the adjusted last unit time granularity is very small, the part of the production volume is produced together with the products in other production orders. For example, if the total production amount of the above products is 950 pieces, after 900 pieces are distributed in the first three weeks, the remaining 50 pieces may be distributed to a production line of the next week, which may produce other products in addition to the 50 pieces.
In the embodiment of the present application, when the production amount is allocated to each production line, since each product category may include multiple product models, and the number of products corresponding to each model may also be different, the allocation may be performed with the product number balance of each production line as a target, and there may be a case where one production line is allocated to only the same model of product within a unit time granularity, or a case where one production line is allocated to different models of products within a unit time granularity. Because the production time of the products with the same model is uniform, and the production time of the products with different models may be different, the production scheduling device 20 may determine the scheduling manner corresponding to the production line according to the type of the product model allocated to the production line, and perform scheduling on the production amount allocated to the production line according to the scheduling manner corresponding to the production line by using the production shift of the production line as a constraint, so as to obtain the scheduling plan information of the production line.
Optionally, if the production scheduling device 20 determines that the product model allocated to a production line is one, it determines that the scheduling manner corresponding to the production line is a sequential production manner; if the production scheduling device 20 determines that the product types allocated to a production line are at least two, it determines that the scheduling mode corresponding to the production line is a mixed production mode. Wherein the sequential production mode refers to a mode of arranging production according to delivery date of the product to be produced; the mixed production mode refers to a mode of performing production arrangement according to delivery date of the product to be produced and mold constraint conditions corresponding to at least two product types, and the production arrangement processes of the normal production mode and the mixed production mode are described in detail below.
In this embodiment, if the scheduling manner corresponding to the production line is a sequential manner, the production scheduling apparatus 20 may allocate the production amount allocated to the production line to the production shift of the production line on the corresponding time granularity according to the delivery date of the to-be-produced product allocated to the production line and by combining the upper threshold corresponding to each of the at least two time granularities, so as to obtain the scheduling plan information of the production line on the at least two time granularities. The at least two time granularities may include two time granularities of week and day, and the respective upper threshold values thereof are respectively the maximum production capacity corresponding to the week granularity and the maximum production capacity corresponding to the day granularity. The online threshold corresponding to each time granularity can be determined according to various limiting conditions such as the shift corresponding to the production line, personnel configuration, equipment production capacity and mold supply conditions, and the specific determination mode can be flexibly set by workers according to actual requirements and is not limited again.
Optionally, when allocating the total production amount corresponding to a certain type of product to a certain production line, the production scheduling device 20 may schedule the production at two time granularities of week and day according to the principle of product quantity balance, and the production amount of the allocation production line in each time granularity is not greater than the online threshold corresponding to the current time granularity. For example, if the total production amount for a certain type of product is 700 pieces, if the online threshold value for the production line capable of producing the type of product on the day granularity is 2 weeks from the date that the production line can produce to the delivery date of the type of product, the production amount per week of the production line can be determined to be 350 pieces according to the principle of product quantity balance, and if the production line can produce all the products in 7 days per week, the production amount per day is 50 pieces.
Further alternatively, if the current production line produces no product waiting for production after the production of the product of the model is finished, the production scheduling manner may be used as the target production scheduling plan. If the current production line needs to produce other products after the production of the product of the model is finished, the production scheduling device 20 can flexibly adjust the scheduling plan according to the online threshold value corresponding to the production line in the day granularity. For example, if the online threshold value of the production line on the day granularity is 60, the production scheduling plan may be adjusted to have 60 production volumes per day according to the production line, that is, the production volume in the first week is 420, the production volume in the second week is 280, and the production of the model product is finished on the fifth day in the second week, and the remaining time is available for producing other products.
In the embodiment of the application, when a scheduling plan is prepared, in order to ensure that the production schedule is reasonably arranged and flexibly adjust the scheduling plan according to actual requirements, scheduling can be performed on the next time granularity at the current time granularity. For example, the next week is scheduled on the day specified in the week, so that the scheduling can be made in advance for the next week's production tasks, and the scheduling can be flexibly adjusted in case of sudden changes. When the production is carried out on each time granularity, the default is that the upper yield in the unit time granularity is uniformly distributed to the smaller time granularity according to the principle of product quantity balance, and if the uniform distribution result does not meet the actual requirement, the adjustment can be carried out according to the actual requirement.
In an alternative embodiment, when allocating the total production amount corresponding to a certain type of product to a certain production line, if the production amount on the week granularity in the production line scheduling information on the week granularity is smaller than the upper threshold corresponding to the day granularity, the production scheduling device 20 allocates the production amount on the week granularity of the production line to the production shift on the same day next to the week granularity. For example, a production line that can produce a certain model of product has a total production amount of 450 pieces, and if the production line has an online threshold of 60 pieces at a day granularity, the production line has an online threshold of 420 pieces at a week granularity. When the production scheduling apparatus 20 schedules the production of the product of the model, the production is first scheduled for the first week, and the production of the first week is determined to be 420 pieces per 60 pieces per day. Further, if the second week is scheduled, but the remaining product throughput is less than the upper threshold of the current production line on the day granularity as well as the upper threshold of the current production line on the week granularity, then the remaining 30 products may be allocated to the production shift within one day of the second week when scheduled for the second week.
In another optional embodiment, when allocating the total production amount corresponding to a certain type of product to a certain production line, the production scheduling device 20 merges the production scheduling information of at least two days into the production scheduling information of one day if the sum of the production amounts of the production line on at least two days in the same week is smaller than the upper limit threshold corresponding to the day granularity. For example, if the total production amount corresponding to a certain model of product is 200, and the online threshold value corresponding to the day granularity of the production line capable of producing the model of product is 60, the production line is scheduled on the week granularity according to the principle of product quantity balance, the daily production amount is not more than 30, and the sum of the two-day production amounts is less than the upper threshold value 60 corresponding to the day granularity of the production line. The production capacity of every second day can be adjusted to be allocated to the shift of one day, and the product of the model can be produced on the fourth day of the current week.
Further optionally, when allocating the total production amount corresponding to a certain type of product to a certain production line, if there are cases in the production schedule information of the production line on the week granularity that the production amount on the week granularity is smaller than the upper limit threshold corresponding to the day granularity, and there are cases in the last week that the production amount on the day granularity is smaller than the upper limit threshold corresponding to the day granularity, and both are smaller than the upper limit threshold corresponding to the day granularity, the production scheduling device 20 may allocate the weekly production amount smaller than the upper limit threshold corresponding to the day granularity to the shift of the same day in the last week that is smaller than the upper limit threshold corresponding to the day granularity. For example, if the total amount of production of the product in the current week is 30 pieces and the amount of production in the last week is 380 pieces, and the online threshold value of the production line capable of producing the product of the model on the day granularity is 60 pieces, the amount of production in the last week can be ranked according to 60 pieces produced per day, and the amount of production in the current week is 30 pieces distributed to the shift on the last day of the last week, and the amount of production in the last day of the last week is 50 pieces.
It should be noted that, in the above embodiment, the upper threshold corresponding to the throughput of each production line on the granularity per unit time refers to the throughput threshold of the number of currently used molds of each production line on the granularity per unit time. Since the types of products distributed to each production line are the same in the production scheduling process in the downstream manner, and the molds do not need to be replaced for the products of the same type in the continuous production process, the relationship between the production capacity of each production line in the unit time granularity and the producible production capacity of a single mold in the unit time granularity is not described in detail. Optionally, in a case that the production duration cannot be changed or shortened, if the production capacity of the current production line cannot complete the corresponding production amount within the specified production duration, a mold may be added to the production line, and new production scheduling information may be formed by performing new production scheduling based on the production amount corresponding to the increased number of molds.
In the embodiment of the present application, if the types of products allocated to each production line are different, the molds corresponding to the respective types of products need to be used in the continuous production process for the products of different types, and if the production volumes corresponding to the products of different types vary in the granularity class per unit time, the problem of mold replacement is involved. In an actual production process, the number of products that can be produced in a unit time using each type of mold is constant, and when the production volumes corresponding to at least two types of products are allocated to a production line, the productivity of the mold corresponding to each type of product needs to be considered.
Therefore, in the scheduling process of the mixed production mode, the production scheduling apparatus 20 may obtain the output thresholds of the at least two types of molds, which are allocated by the production line to correspond to the at least two types of products, on the at least two time granularities, respectively, and allocate the outputs of the at least two types of products to the production shift of the production line on the corresponding time granularity according to the priorities of the at least two types of products by combining the delivery dates of the products to be produced under the at least two types of products, the output thresholds of the at least two types of molds, which are on the at least two time granularities, and the upper limit thresholds, which are corresponding to the at least two types of products, on the at least two time granularities, so as to obtain the scheduling information of the.
In the embodiment of the application, the scheduling process in the mixed production mode is equivalent to scheduling each production line in at least two sequential production modes, wherein the execution sequence of the at least two sequential production modes is the same as the priority sequence of the corresponding product models. For example, when the production volumes corresponding to the 3 models of products are distributed, the production volumes corresponding to the first priority model of products are firstly scheduled on at least two time granularities in a per-production manner; then the production capacity corresponding to the product model of the second priority is scheduled on at least two time granularities according to a production-per-process mode; and finally, scheduling the production capacity corresponding to the product model of the third priority on at least two time granularities according to a production-per-pass mode. That is, when the horizontal axis represents the time granularity and the vertical axis represents the product model, the production line is scheduled in a plurality of production methods on the horizontal axis, and the vertical axis represents the "ordered mix" of the production methods corresponding to the at least two models of products.
According to the scheduling process of the sequential production mode, aiming at one product type under each product category, the total production amount corresponding to the product is distributed to each unit time granularity according to the principle of product quantity balance. Similarly, in the mixed production mode, for each product model in the same category (i.e. in the horizontal axis direction), the total production amount corresponding to the product of each model is still allocated to each unit time granularity according to the principle of product quantity balance.
In the embodiment of the present application, the at least two time granularities include two time granularities of week and day, and when the production scheduling apparatus 20 distributes the production volumes of the at least two product models to the production shifts of the production line at the corresponding time granularities, the production week number corresponding to each product model can be determined according to the delivery date of the product to be produced of each product model, and the production volume of each product model in each week can be determined according to the production volume of the product to be produced of each product model, the upper threshold value corresponding to each product model at the week granularity, and the production week number corresponding to each product model. The upper threshold corresponding to each product type in the peripheral granularity is a threshold of the production amount of the mold used in the production line to which the production amount is allocated in the peripheral granularity.
In the embodiment of the application, the number of the dies used in the unit time is determined by the production amount in the unit time grain size and the production threshold value of each die in the unit time grain size. Therefore, in the case of determining the production amount of each product model in each week, the production scheduling apparatus 20 may equally divide the production amount of each product model in each week according to the upper threshold corresponding to the daily granularity of each product model to obtain the daily production amount of each product model, and determine the daily mold number of each product model according to the daily production amount of each product model and the daily granularity production threshold of the mold corresponding to each product model. And then, according to the priority of at least two product models in the same week, sequentially distributing the daily production capacity and the used mold quantity of each product model to the daily production shift of the production line to obtain the production line production scheduling information on the day granularity, and further integrating the production line production scheduling information on the day granularity to obtain the production line production scheduling information on the week granularity.
After obtaining the scheduling information of the production line on the day granularity, whether the current scheduling needs to be adjusted can be determined according to the number of moulds used by each model of product every day and the number of moulds of each model actually available every day. Therefore, if the number of dies used is larger than the number of dies that can be actually provided in the scheduling information of the production line on the day-size, the defective production amount corresponding to the number of dies that are missing is specified, and the defective production amount is adjusted to the scheduling information of the production line on the other day-size. If the number of used molds is smaller than the number of actually available molds in the scheduling information of the production line on the day granularity, the number of the molds can be increased in order to accelerate the production progress, the production amount of the production line on the day and week granularities can be determined according to the corresponding yield threshold value of the increased number of the molds on the day granularity, and the scheduling is performed again.
Regarding the production scheduling process in the mixed production mode, the content of the embodiment corresponding to the sequential production mode can be referred to in the process of allocating the production capacity on at least one production line for each type of product, and details are not repeated herein. In the mixed production mode, unlike the sequential production mode, the number of molds corresponding to the individual model products may need to be increased or decreased in the process of readjusting the production schedule or performing the production quantity balanced distribution on the day granularity, so as to ensure that the adjusted number of molds meets the production requirement. The following is an example of a process for making a production volume balance distribution on day granularity to change the number of molds.
FIGS. 1 b-1 d are tables showing the cycle-by-cycle scheduling data for 4 models of products in the example of the present application. As shown in fig. 1b, the production threshold (daily capacity of single mold in fig. 1 b) of the mold corresponding to the product with the product model numbers 268, 331, 321 and 328 is 150, 100, 120 and 120 respectively; the upper yields on the weekly particle size were 825, 5000, 1080 and 4440, respectively. According to the above scheduling process, the production capacity of each product is distributed on the production line according to the principle of product quantity balance, the production quantity on the day granularity should be kept as equal as possible, or the difference between the production capacities of any two days should not exceed the set production line difference threshold or the number of the molds used on the day granularity is the same, and the production capacity on the week granularity of each type of product can be distributed as shown in the one week to the six week in fig. 1b according to the principle of product quantity balance on the day granularity, that is, the production capacities per day are 720, 720 and 840 respectively. Furthermore, according to the yield threshold value corresponding to the mould corresponding to each model of product on the day granularity, the quantity of the moulds needed by the 4 models of products can be determined to be 1, 9, 1 and 6 respectively.
In the production scheduling process in the mixed production mode, the principle of product quantity balance is satisfied, and the influence of the time for replacing the mold on the production progress is also required to be considered. Therefore, in order to save the time for replacing the mold, the time for replacing the mold of different types of products should be arranged together as much as possible, so as to avoid influencing the production progress. For example, in the above embodiment, on the premise that the balance of the number of products on the day granularity is satisfied, it is also determined which type of product needs to be increased or decreased according to the number of molds used for each type of product per day. As shown in fig. 1c, model 331 requires a reduction in molds from tuesday to wednesday; the 321 model product needs to increase one mold from Tuesday to Wednesday, and needs to decrease one mold from Friday to Saturday; the 328 version requires the addition of one mold from tuesday to wednesday. In this way, the number of the molds can be uniformly adjusted for the products of the models 331 and 321 during the period from tuesday to wednesday, and the number of the molds can be uniformly adjusted for the products of the models 321 and 328 during the period from friday to saturday, so that the time for changing the molds twice can be reduced.
Furthermore, the production days can be determined according to the production amount corresponding to each type of product and the production threshold value corresponding to the mould corresponding to each type of product on the day granularity and the principle of balanced production amount on the day granularity. Further optionally, under the condition that the number of actually available molds is greater than the number of molds used each day, if there is a demand for accelerating the production progress, the number of molds used by the product of each type may be increased in an equal proportion according to the number of molds corresponding to the product of each type in the day granularity, so as to reduce the number of production days, for example, as shown in fig. 1d, the number of molds in the original day granularity is adjusted to be 3 times the number of molds corresponding to the product of each type in the day granularity. In the actual scheduling process, the multiple can be flexibly set according to the requirement of actual production days and the number of the available moulds.
The above embodiment is an exemplary illustration of the scheduling process in the normal delivery mode and the mixed delivery mode, and the actual production process is affected by various uncertain factors such as equipment failure, shift adjustment, personnel leave requests, urgent order entry and the like. Therefore, under the condition that the existing scheduling plan information does not meet the actual requirement, the scheduling staff can also manually adjust the production order information so as to re-schedule according to the modified production order information. Further alternatively, the generated scheduling plan information may be output, and the production line of the production plant may be subjected to production control according to the scheduling plan information.
It should be noted that, when products of different categories are scheduled, the products of different categories may be scheduled in order according to the order of different categories, and optionally, different priorities may be set for the products of different categories, and the products may be scheduled according to the order of the priority of the product category from high to low; further optionally, the production can be ordered according to the production requirements of the customers for different categories, and the specific implementation manner is not limited.
In addition, the production line in the embodiment of the application refers to each branch in the whole production line for producing a product, in the actual production process, a product can be composed of different parts, each part needs to be separately and independently produced, and finally, the produced parts are assembled into a complete product. As shown in fig. 1a, a production line may include several sub-production lines, wherein each sub-production line is used for producing one part of a product, for example, a production line of a refrigerator includes sub-production lines for respectively producing different parts of a refrigerator body, a refrigerator door, a refrigerator liner, a refrigerator drawer, and the like. Therefore, in the embodiment of the present application, when scheduling each sub-production line, the production schedules of other related sub-production lines also need to be considered, so as to ensure that the production schedules of each sub-production line have no significant difference, and avoid the situation that a certain sub-production line finishes production and waits for the production of other self-production lines for a long time, thereby influencing the schedule of the whole production line of the product.
In the embodiment of the application, when the product to be scheduled is scheduled, the scheduling mode adapted to each product category can be determined for scheduling based on the requirement information and the production information of the client and the attribute of the product to be scheduled. In the production scheduling process, other constraint conditions can be combined to perform balanced production scheduling on the production quantity of each production line and among the production lines, so that the whole production efficiency is improved, and the waste of time and material resources is reduced.
In addition, an embodiment of the present application further provides a production scheduling method, which may be executed by a production scheduling device, and fig. 2 is a flowchart of a database instance processing method according to an embodiment of the present application, and as shown in fig. 2, the method includes:
s1, generating production order information based on the customer order information, wherein the production order information at least comprises the product type related to the product to be produced, the product model under the product type, each production line corresponding to each product type and the production shift thereof;
s2, aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category;
s3, aiming at each production line distributed to the products to be produced, carrying out production scheduling on the production amount distributed by the production line according to a production scheduling mode matched with the model of the products distributed by the production line by taking the production shift of the production line as constraint to obtain production scheduling plan information of the production line;
and S4, performing production control on at least one production line according to the scheduling plan information of at least one production line allocated to the to-be-produced products corresponding to each product type.
In an optional embodiment, for each product category, the priority of each production line corresponding to the product category may be determined according to the current production progress information and the current production capacity information of each production line corresponding to the product category, and the total production amount of the products to be produced in the product category is allocated to at least one production line corresponding to the product category by taking the product quantity balance of each production line as a target and combining the priority of each production line corresponding to the product category and/or the priority of the product model related to the products to be produced. Wherein, the better the production capacity the higher the corresponding priority of production line, can be assigned the product by priority.
In an optional embodiment, when the total production amount of the to-be-produced products in the product category is allocated to the at least one production line corresponding to the product category, the total production amount of the to-be-produced products in the product category is allocated to the at least one production line according to the sequence from high to low of the priority of each production line corresponding to the product category, with the goal that the production amount allocated to each production line does not exceed a preset production line amount threshold and the difference between the production amounts allocated to any two production lines does not exceed a set production line difference threshold, so as to ensure that the production schedules of the to-be-produced products in the product category do not have a significant difference when the respective production saturation levels of the different production lines are met.
In an optional embodiment, when the production amount allocated to the production line is scheduled according to the scheduling mode adapted to the product model allocated to the production line, for each production line allocated to the product to be produced, the scheduling mode corresponding to the production line may be determined according to the type of the product model allocated to the production line, and the production amount allocated to the production line is scheduled according to the scheduling mode corresponding to the production line with the production shift of the production line as a constraint, so as to obtain scheduling plan information of the production line.
In an optional embodiment, when the scheduling mode corresponding to the production line is determined according to the type of the product model allocated to the production line, if the product model allocated to the production line is one, the scheduling mode corresponding to the production line is determined to be a normal production mode; if the product types distributed by the production line are at least two, determining that the production scheduling mode corresponding to the production line is a mixed production mode; wherein the sequential production mode refers to a mode of arranging production according to delivery date of the product to be produced; the mixed production mode is a mode of scheduling production according to delivery date of the product to be produced and the mold constraint conditions corresponding to at least two product types.
In an optional embodiment, when the production shift of the production line is taken as a constraint and the production amount allocated to the production line is arranged according to the arrangement mode corresponding to the production line, if the arrangement mode corresponding to the production line is a sequential production mode, the production amount allocated to the production line is allocated to the production shift of the production line on the corresponding time granularity according to the delivery date of the to-be-produced product allocated to the production line and the upper limit threshold value corresponding to each of the at least two time granularities, so as to obtain the arrangement planning information of the production line on the at least two time granularities.
In an optional embodiment, the at least two time granularities include two time granularities of week and day, and if the situation that the production capacity of the production line on the week granularity is smaller than the upper limit threshold corresponding to the day granularity exists in the production schedule information of the production line on the week granularity, the production capacity of the production line on the week granularity is distributed to the production shift in the same day under the week granularity; and if the sum of the production quantities of at least two days in the same week is smaller than the upper limit threshold corresponding to the day granularity in the production scheduling information of the production line on the day granularity, merging the production scheduling information of at least two days into the production scheduling information of one day.
In an optional embodiment, when the production shift of the production line is taken as a constraint and the production amount allocated to the production line is arranged according to the arrangement mode corresponding to the production line, if the arrangement mode corresponding to the production line is a mixed production mode, obtaining the production threshold values of at least two types of molds, corresponding to at least two types of product models, allocated to the production line on at least two time granularities respectively; according to the priorities of at least two product models, the delivery dates of products to be produced under the at least two product models, the output thresholds of the at least two molds on at least two time granularities respectively and the corresponding upper limit thresholds of the at least two product models on at least two time granularities respectively are combined, and the output quantities under the at least two product models are distributed to the production shifts of the production line on the corresponding time granularities so as to obtain the scheduling plan information of the production line on the at least two time granularities.
In an optional embodiment, when the production volumes of at least two product models are distributed to production shifts of a production line on corresponding time granularity, the production week number corresponding to each product model can be determined according to delivery date of the to-be-produced product of each product model, and the production volume of each product model in each week can be determined according to the production volume of the to-be-produced product of each product model, the upper limit threshold value corresponding to each product model on the week granularity and the production week number corresponding to each product model; according to the upper limit threshold value corresponding to each product model on the day granularity, the production amount of each product model in each week is divided equally to obtain the production amount of each product model in each day, and the number of the moulds used each day is determined according to the production amount of each product model in each day and the production amount threshold value corresponding to each product model on the day granularity; aiming at the same week, according to the priority of at least two product models, sequentially distributing the daily production capacity and the used mold quantity of each product model to the daily production shift of the production line to obtain the scheduling plan information of the production line on the day granularity; and integrating the scheduling plan information of the production line on the day granularity to obtain the scheduling plan information of the production line on the week granularity.
In an alternative embodiment, after obtaining the scheduling information of the production line on the day granularity, if the number of the used moulds in the scheduling information of the production line on the day granularity is larger than the number of the actually available moulds, the deficient production amount corresponding to the number of the lacking moulds is determined, and the deficient production amount is adjusted to the scheduling information of the production line on other day granularities.
For the details of the trial-and-error of the production scheduling method, reference may be made to the above-mentioned system embodiments, and no further details are given here. It should be noted that the execution subjects of the steps of the methods provided in the above embodiments may be the same device, or different devices may be used as the execution subjects of the methods. For example, the execution subjects of steps S1 to S4 may be production scheduling apparatuses; for another example, the execution subject of step S1 may be a resource processing device, and the execution subjects of steps S2 to S4 may be production scheduling devices; and so on.
In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations that appear in a specific order are included, but it should be clearly understood that these operations may be executed out of the order they appear herein or in parallel, and the order of the operations, such as S1, S2, etc., is merely used to distinguish between the various operations, and the order itself does not represent any order of execution. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
An embodiment of the present application further provides a production scheduling apparatus, and fig. 3 is a schematic structural diagram of the production scheduling apparatus of the embodiment of the present application, and as shown in fig. 3, the production scheduling apparatus includes: a processor 31 and a memory 32 in which computer programs are stored. The processor 31 and the memory 32 may be one or more.
The memory 32 is mainly used for storing computer programs, and these computer programs can be executed by the processor, so that the processor controls the production scheduling equipment to realize corresponding functions and complete corresponding actions or tasks. In addition to storing computer programs, the memory may be configured to store other various data to support operations on the production scheduling device, examples of which include instructions for any application or method operating on the production scheduling device.
The memory 32, may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In the embodiment of the present application, the implementation form of the processor 31 is not limited, and may be, for example, but not limited to, a CPU, a GPU, an MCU, or the like. The processor 31 may be considered a control system of the production scheduling apparatus, and may be configured to execute a computer program stored in the memory 32 to control the production scheduling apparatus to implement corresponding functions and complete corresponding actions or tasks. It should be noted that, according to the implementation form and the scene of the production scheduling device, the functions, actions or tasks to be implemented may be different; accordingly, the computer programs stored in the memory 32 may vary, and execution of the computer programs by the processor 31 may control the manufacturing facility to perform different functions, perform different actions or tasks.
In some alternative embodiments, as shown in fig. 3, the production scheduling apparatus may further include: display 33, power supply 34 and communication 35. Only some components are schematically shown in fig. 3, which does not mean that the production scheduling apparatus only includes the components shown in fig. 3, and the production scheduling apparatus may further include other components according to different application requirements, depending on the product form of the production scheduling apparatus.
In the embodiment of the present application, when the processor 31 executes the computer program in the memory 32, it is configured to: according to the generated production order information, aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category; aiming at each production line distributed to the products to be produced, carrying out production scheduling on the production amount distributed by the production line according to a production scheduling mode matched with the model of the products distributed by the production line by taking the production shift of the production line as a constraint so as to obtain production scheduling plan information of the production line; performing production control on at least one production line according to the scheduling plan information, corresponding to each product type, of at least one production line allocated to the products to be produced; the production order information at least comprises product types related to the products to be produced, product models under the product types, production lines corresponding to the product types and production shifts of the production lines.
In an optional embodiment, the processor 31, when allocating the total production amount of the to-be-produced products in the product category to at least one production line corresponding to the product category with the goal of balancing the product quantity of each production line for each product category, is configured to: aiming at each product type, determining the priority of each production line corresponding to the product type according to the current production progress information and the current production capacity information of each production line corresponding to the product type; and aiming at the product quantity balance of each production line, and distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category by combining the priority of each production line corresponding to the product category and/or the priority of the product model related to the products to be produced.
In an optional embodiment, the processor 31, when aiming at balancing the product quantity of each production line, and combining the priority of each production line corresponding to the product category, allocates the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category, is configured to: according to the sequence of the priority levels of all production lines corresponding to the product types from high to low, the total production amount of the products to be produced under the product types is distributed to at least one production line by taking the purposes that the production amount distributed by each production line does not exceed a preset production line quantity threshold value, and the difference between the production amounts distributed by any two production lines does not exceed a set production line difference value threshold value.
In an alternative embodiment, the processor 31 is configured to, when, for each production line assigned to a product to be produced, with the production shift of the production line as a constraint, arrange the production volumes assigned to the production lines according to an arrangement manner adapted to the model numbers of the products assigned to the production lines,: determining a scheduling mode corresponding to each production line allocated to the product to be produced according to the type of the product model allocated to the production line; and (4) scheduling the production quantity distributed to the production line according to a scheduling mode corresponding to the production line by taking the production shift of the production line as constraint to obtain scheduling plan information of the production line.
In an alternative embodiment, the processor 31, when determining the scheduling mode corresponding to the production line, is configured to: if the product type distributed by the production line is one, determining that the production scheduling mode corresponding to the production line is a normal production mode; if the product types distributed by the production line are at least two, determining that the production scheduling mode corresponding to the production line is a mixed production mode; wherein the sequential production mode refers to a mode of arranging production according to delivery date of the product to be produced; the mixed production mode is a mode of scheduling production according to delivery date of the product to be produced and the mold constraint conditions corresponding to at least two product types.
In an alternative embodiment, the processor 31 is configured to, when arranging the allocated production capacity of the production line according to the corresponding arrangement mode of the production line by using the production shift of the production line as a constraint: and if the scheduling mode corresponding to the production line is a sequential mode, the production amount allocated to the production line is allocated to the production shift of the production line on the corresponding time granularity according to the delivery date of the to-be-produced product allocated to the production line and the upper limit threshold value corresponding to each of the at least two time granularities, so that the scheduling plan information of the production line on the at least two time granularities is obtained.
In an alternative embodiment, the at least two time granularities include two time granularities of week and day, and the processor 31 is further configured to: if the production capacity of the production line on the week granularity is smaller than the upper limit threshold value corresponding to the day granularity in the scheduling information of the production line on the week granularity, distributing the production capacity of the production line on the week granularity to the production shift in the same day under the week granularity; and if the sum of the production quantities of at least two days in the same week is smaller than the upper limit threshold corresponding to the day granularity in the production scheduling information of the production line on the day granularity, merging the production scheduling information of at least two days into the production scheduling information of one day.
In an alternative embodiment, the processor 31 is configured to, when arranging the allocated production capacity of the production line according to the corresponding arrangement mode of the production line by using the production shift of the production line as a constraint: if the production scheduling mode corresponding to the production line is a mixed production mode, obtaining output thresholds of at least two moulds corresponding to at least two product models distributed to the production line on at least two time granularities respectively; according to the priorities of at least two product models, the delivery dates of products to be produced under the at least two product models, the output thresholds of the at least two molds on at least two time granularities respectively and the corresponding upper limit thresholds of the at least two product models on at least two time granularities respectively are combined, and the output quantities under the at least two product models are distributed to the production shifts of the production line on the corresponding time granularities so as to obtain the scheduling plan information of the production line on the at least two time granularities.
In an alternative embodiment, the at least two time granularities include two time granularities of week and day, the processor 31 is configured to, when allocating the production quantities of the at least two product models to the production shifts of the production line at the corresponding time granularities according to the priorities of the at least two product models and combining the delivery date of the to-be-produced product, the production thresholds of the at least two molds at the at least two time granularities, and the upper threshold corresponding to the at least two time granularities, to obtain the scheduling information of the production line at the at least two time granularities:
determining the production cycle number corresponding to each product model according to the delivery date of the to-be-produced product under each product model, and determining the production capacity of each product model in each week according to the production capacity of the to-be-produced product under each product model, the upper limit threshold value corresponding to each product model on the week granularity and the production cycle number corresponding to each product model;
according to the upper limit threshold value corresponding to each product model on the day granularity, the production amount of each product model in each week is divided equally to obtain the production amount of each product model in each day, and the number of the moulds used each day is determined according to the production amount of each product model in each day and the production amount threshold value corresponding to each product model on the day granularity;
aiming at the same week, according to the priority of at least two product models, sequentially distributing the daily production capacity and the used mold quantity of each product model to the daily production shift of the production line to obtain the scheduling plan information of the production line on the day granularity; and integrating the scheduling plan information of the production line on the day granularity to obtain the scheduling plan information of the production line on the week granularity.
In an alternative embodiment, after obtaining the scheduling information of the production line at the day granularity, the processor 31 is further configured to: if the number of used molds is larger than the number of actually available molds in the scheduling information of the production line on the day granularity, the deficient production amount corresponding to the number of the lacking molds is determined, and the deficient production amount is adjusted to the scheduling information of the production line on the other day granularity.
Accordingly, the present application further provides a computer readable storage medium storing a computer program, where the computer program is capable of implementing the steps that can be executed by the production scheduling apparatus in the foregoing method embodiments when executed.
Accordingly, the present application also provides a computer program product, which includes a computer program/instruction, and when the computer program/instruction is executed by a processor, the processor is caused to implement the steps in the above method embodiments.
The communication component of fig. 3 described above is configured to facilitate communication between the device in which the communication component is located and other devices in a wired or wireless manner. The device where the communication component is located can access a wireless network based on a communication standard, such as a WiFi, a 2G, 3G, 4G/LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
The display in fig. 3 described above includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The power supply assembly of fig. 3 described above provides power to the various components of the device in which the power supply assembly is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (12)

1. A method of production scheduling, comprising:
generating production order information based on the customer order information, wherein the production order information at least comprises product types related to the products to be produced, product models under the product types, and production lines and production shifts thereof corresponding to the product types;
aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category;
for each production line allocated to a product to be produced, with the production shift of the production line as a constraint, performing production scheduling on the production amount allocated to the production line according to a production scheduling mode matched with the model of the product allocated to the production line to obtain production scheduling plan information of the production line;
and carrying out production control on at least one production line according to the scheduling plan information of at least one production line distributed to the products to be produced corresponding to each product category.
2. The method of claim 1, wherein for each product category, with the goal of balancing the product quantity of each production line, allocating the total production quantity of the products to be produced in the product category to at least one production line corresponding to the product category comprises:
for each product type, determining the priority of each production line corresponding to the product type according to the current production progress information and the current production capacity information of each production line corresponding to the product type;
and aiming at the product quantity balance of each production line, and distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category by combining the priority of each production line corresponding to the product category and/or the priority of the product model related to the products to be produced.
3. The method of claim 2, wherein the step of allocating the total production amount of the products to be produced in the product category to at least one production line corresponding to the product category according to the priority of each production line corresponding to the product category with the aim of balancing the number of the products in each production line comprises:
and according to the sequence of the priorities of the production lines corresponding to the product types from high to low, the total production amount of the products to be produced under the product types is distributed to at least one production line by taking the purposes that the production amount distributed by each production line does not exceed a preset production line quantity threshold value, and the difference between the production amounts distributed by any two production lines does not exceed a set production line difference threshold value.
4. The method according to any one of claims 1 to 3, wherein for each production line allocated to a product to be produced, the production amount allocated to the production line is scheduled according to a scheduling mode matched with the model of the product allocated to the production line by taking the production shift of the production line as a constraint, so as to obtain scheduling information of the production line, and the scheduling information comprises the following steps:
for each production line distributed to a product to be produced, determining a production scheduling mode corresponding to the production line according to the type of the product model distributed to the production line;
and performing scheduling on the production amount distributed by the production line according to a scheduling mode corresponding to the production line by taking the production shift of the production line as constraint to obtain scheduling plan information of the production line.
5. The method of claim 4, wherein determining the scheduling corresponding to the production line according to the type of the product model allocated to the production line comprises:
if the product type distributed by the production line is one, determining that the production scheduling mode corresponding to the production line is a normal production mode;
if the product types distributed by the production line are at least two, determining that the production scheduling mode corresponding to the production line is a mixed production mode;
wherein the sequential production mode refers to a mode of arranging production according to delivery date of the product to be produced; the mixed production mode is a mode of scheduling production according to delivery date of the product to be produced and the mold constraint conditions corresponding to the at least two product types.
6. The method of claim 5, wherein the scheduling the allocated production capacity of the production line according to the scheduling manner corresponding to the production line with the production shift of the production line as a constraint to obtain the scheduling plan information of the production line comprises:
and if the scheduling mode corresponding to the production line is a sequential mode, according to the delivery date of the to-be-produced products distributed by the production line and in combination with the upper limit threshold value corresponding to each of at least two time granularities, distributing the production quantity distributed by the production line to the production shift of the production line on the corresponding time granularity so as to obtain scheduling plan information of the production line on the at least two time granularities.
7. The method of claim 6, wherein the at least two time granularities comprise two time granularities of weeks and days, the method further comprising:
if the production capacity of the production line on the week granularity is smaller than the upper limit threshold value corresponding to the day granularity in the scheduling information of the production line on the week granularity, distributing the production capacity of the production line on the week granularity to the production shift in the same day under the week granularity;
and if the condition that the sum of the production quantities of the production line on at least two days in the same week is smaller than the upper limit threshold corresponding to the day granularity exists in the production scheduling information of the production line on the day granularity, combining the production scheduling information of the at least two days into the production scheduling information of one day.
8. The method of claim 5, wherein the scheduling the allocated production capacity of the production line according to the scheduling manner corresponding to the production line with the production shift of the production line as a constraint to obtain the scheduling plan information of the production line comprises:
if the production line corresponding to the scheduling mode is a mixed production mode, obtaining output thresholds of at least two moulds corresponding to at least two product models distributed to the production line on at least two time granularities respectively;
according to the priorities of the at least two product models, combining delivery dates of products to be produced under the at least two product models, output thresholds of the at least two molds on at least two time granularities respectively and corresponding upper limit thresholds of the at least two product models on at least two time granularities respectively, and distributing the output of the at least two product models to production shifts of the production line on the corresponding time granularities so as to obtain production scheduling information of the production line on the at least two time granularities.
9. The method of claim 8, wherein the at least two time granularities comprise two time granularities of week and day, and then according to the priority of the at least two product models, the production quantities of the at least two product models are allocated to the production shifts of the production line on the corresponding time granularities by combining the delivery date of the to-be-produced product under the at least two product models, the production thresholds of the at least two molds on the at least two time granularities respectively and the corresponding upper threshold of the at least two time granularities, so as to obtain the production scheduling information of the production line on the at least two time granularities, comprising:
determining the production cycle number corresponding to each product model according to the delivery date of the to-be-produced product under each product model, and determining the production capacity of each product model in each week according to the production capacity of the to-be-produced product under each product model, the upper limit threshold value corresponding to each product model on the week granularity and the production cycle number corresponding to each product model;
according to the upper limit threshold value corresponding to each product model on the day granularity, the production amount of each product model in each week is divided equally to obtain the production amount of each product model in each day, and the number of the moulds used each day is determined according to the production amount of each product model in each day and the production amount threshold value corresponding to each product model on the day granularity;
according to the priority of the at least two product models, the production quantity of each product model in each day and the number of used molds are sequentially distributed to the production shift of the production line in each day so as to obtain the production scheduling plan information of the production line in the day granularity;
and integrating the scheduling plan information of the production line on the day granularity to obtain the scheduling plan information of the production line on the week granularity.
10. The method of claim 9, after obtaining scheduling information of the production line on a day-level, further comprising:
if the number of the used molds is larger than the number of the actually available molds in the scheduling information of the production line on the day granularity, determining the deficient production amount corresponding to the number of the lacking molds, and adjusting the deficient production amount to the scheduling information of the production line on the other day granularity.
11. A production scheduling apparatus, comprising: a processor and a memory storing a computer program;
the processor to execute the computer program to:
according to the production order information, aiming at each product category, with the product quantity balance of each production line as a target, distributing the total production quantity of the products to be produced under the product category to at least one production line corresponding to the product category;
for each production line allocated to a product to be produced, with the production shift of the production line as a constraint, performing production scheduling on the production amount allocated to the production line according to a production scheduling mode matched with the model of the product allocated to the production line to obtain production scheduling plan information of the production line;
according to the scheduling plan information of at least one production line allocated to the products to be produced corresponding to each product category, carrying out production control on the at least one production line;
the production order information at least comprises product types related to the products to be produced, product models under the product types, production lines corresponding to the product types and production shifts of the production lines.
12. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 10.
CN202110220413.0A 2021-02-26 2021-02-26 Production scheduling method, equipment and storage medium Pending CN113052435A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110220413.0A CN113052435A (en) 2021-02-26 2021-02-26 Production scheduling method, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110220413.0A CN113052435A (en) 2021-02-26 2021-02-26 Production scheduling method, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN113052435A true CN113052435A (en) 2021-06-29

Family

ID=76509309

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110220413.0A Pending CN113052435A (en) 2021-02-26 2021-02-26 Production scheduling method, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113052435A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113592243A (en) * 2021-06-30 2021-11-02 青岛海尔科技有限公司 Sorting method and device for refrigerator production, storage medium and processor
CN113793067A (en) * 2021-09-30 2021-12-14 广州佳帆计算机有限公司 Packaging resource scheduling method for assembly line
CN114488979A (en) * 2022-01-21 2022-05-13 珠海格力电器股份有限公司 Detection method, detection device, electronic equipment and storage medium
CN115345529A (en) * 2022-10-18 2022-11-15 一汽解放汽车有限公司 Assembly production line scheduling method and device, computer equipment and storage medium
CN116029647A (en) * 2023-03-30 2023-04-28 深圳市海豚网络信息科技有限公司 Warehouse site management method and system for supply chain
CN116664054A (en) * 2023-07-28 2023-08-29 天津翔铄车身科技有限公司 Product unloading management method and system based on customer order quantity
WO2023231376A1 (en) * 2022-06-01 2023-12-07 浙江衣拿智能科技股份有限公司 Control method and apparatus for drying and carrying system, and electronic device
CN113793067B (en) * 2021-09-30 2024-06-07 广州佳帆计算机有限公司 Packaging resource scheduling method of assembly line

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106548260A (en) * 2015-09-16 2017-03-29 北汽福田汽车股份有限公司 A kind of method and device of customization vehicle production
CN108876263A (en) * 2018-08-27 2018-11-23 刘明隆 Automobile manufacture intelligence scheduled production processing method
CN109784543A (en) * 2018-12-20 2019-05-21 湖北工业大学 Balance scheduled production method based on weighted round robin scheduling
CN111047140A (en) * 2019-11-13 2020-04-21 联想(北京)有限公司 Processing method, device and equipment
CN111950802A (en) * 2020-08-21 2020-11-17 上海明略人工智能(集团)有限公司 Production scheduling control method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106548260A (en) * 2015-09-16 2017-03-29 北汽福田汽车股份有限公司 A kind of method and device of customization vehicle production
CN108876263A (en) * 2018-08-27 2018-11-23 刘明隆 Automobile manufacture intelligence scheduled production processing method
CN109784543A (en) * 2018-12-20 2019-05-21 湖北工业大学 Balance scheduled production method based on weighted round robin scheduling
CN111047140A (en) * 2019-11-13 2020-04-21 联想(北京)有限公司 Processing method, device and equipment
CN111950802A (en) * 2020-08-21 2020-11-17 上海明略人工智能(集团)有限公司 Production scheduling control method and device

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113592243A (en) * 2021-06-30 2021-11-02 青岛海尔科技有限公司 Sorting method and device for refrigerator production, storage medium and processor
CN113592243B (en) * 2021-06-30 2023-07-21 青岛海尔科技有限公司 Ordering method and device for refrigerator production, storage medium and processor
CN113793067A (en) * 2021-09-30 2021-12-14 广州佳帆计算机有限公司 Packaging resource scheduling method for assembly line
CN113793067B (en) * 2021-09-30 2024-06-07 广州佳帆计算机有限公司 Packaging resource scheduling method of assembly line
CN114488979A (en) * 2022-01-21 2022-05-13 珠海格力电器股份有限公司 Detection method, detection device, electronic equipment and storage medium
WO2023231376A1 (en) * 2022-06-01 2023-12-07 浙江衣拿智能科技股份有限公司 Control method and apparatus for drying and carrying system, and electronic device
CN115345529A (en) * 2022-10-18 2022-11-15 一汽解放汽车有限公司 Assembly production line scheduling method and device, computer equipment and storage medium
CN116029647A (en) * 2023-03-30 2023-04-28 深圳市海豚网络信息科技有限公司 Warehouse site management method and system for supply chain
CN116664054A (en) * 2023-07-28 2023-08-29 天津翔铄车身科技有限公司 Product unloading management method and system based on customer order quantity
CN116664054B (en) * 2023-07-28 2023-09-29 天津翔铄车身科技有限公司 Product unloading management method and system based on customer order quantity

Similar Documents

Publication Publication Date Title
CN113052435A (en) Production scheduling method, equipment and storage medium
CN107767068B (en) Lean production advanced plan scheduling system and method
CN106991543B (en) Allocation system and allocation method
US11714678B2 (en) Smart scheduling method supporting process task volume splitting
CN113393092A (en) Production scheduling method, equipment, device and storage medium
CN108985691A (en) A kind of automatic replenishing method and system based on dynamic stock control
JP4736651B2 (en) Production planning method and production planning system for mixed orders and expected production
TW201714122A (en) Production scheduling method and automatically scheduling system
Selcuk et al. The effect of updating lead times on the performance of hierarchical planning systems
CN104301257B (en) A kind of resource allocation methods, device and equipment
Goryachev et al. “Smart factory”: intelligent system for workshop resource allocation, scheduling, optimization and controlling in real time
CN113762710A (en) Production plan scheduling method and device and storage medium
CN113159979A (en) Scheduling decision method and system
CN111415069B (en) Discrete manufacturing process intelligent real-time scheduling method
KR20150012855A (en) Demand Forecast Segmentation Apparatus and Method, Apparatus and Method for Adjusting Demand Forecast, and Recording Medium Recording the Program Thereof
CN109614236A (en) Cluster resource dynamic adjusting method, device, equipment and readable storage medium storing program for executing
KR102120911B1 (en) Apparatus and Method for Controlling Demand Based Priority Rank, Apparatus and Method for Determining Priority Rank And Recording Medium Recording the Program Thereof
KR102251328B1 (en) A method for resource planning within a factory based on a simulation, an apparatus thereof, and computer readable recording medium
CN112712236B (en) Design method of line meter load assessment software of shipbuilding enterprise
CN114862045A (en) Scheduling optimization method and device, electronic equipment and storage medium
Chua et al. An intelligent multi-constraint finite capacity-based lot release system for semiconductor backend assembly environment
JP2000079542A (en) Production plan forming system
EP1843232B1 (en) Production scheduling system
Lin et al. Heuristic approaches for a scheduling problem in the plastic molding department of an audio company
CN105824809B (en) A kind of implementation method and device of ETL scheduling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210629