CN117519023A - Long-period plan feasibility assessment method, system, equipment and medium - Google Patents

Long-period plan feasibility assessment method, system, equipment and medium Download PDF

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CN117519023A
CN117519023A CN202311528144.XA CN202311528144A CN117519023A CN 117519023 A CN117519023 A CN 117519023A CN 202311528144 A CN202311528144 A CN 202311528144A CN 117519023 A CN117519023 A CN 117519023A
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姜云飞
冯焕虎
张将
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Inspur General Software Co Ltd
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    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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    • GPHYSICS
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    • 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
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    • G06Q50/04Manufacturing
    • GPHYSICS
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    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
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    • G05B2219/32252Scheduling production, machining, job shop
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention provides a long-period plan feasibility assessment method, a system, equipment and a medium, wherein the method comprises the following steps: maintaining the bottom table data; in response to receiving the long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition; analyzing and deciding the comprehensive load condition to obtain an executable result; in response to the result being non-executable, adjusting the bottom table data based on the product production cycle, and re-performing the feasibility assessment; and responding to the executable result, and performing formal production planning. The invention reduces the process data quantity generated by operation through optimizing operation logic, improves single evaluation efficiency, realizes logic operation on index factors, reduces data dependence degree, reduces learning cost of users, decomposes combined operation among a plurality of systems, shortens planning feasibility recognition paths, reduces the number of system construction, reduces realization cost, and provides theoretical basis for risk recognition and solution.

Description

Long-period plan feasibility assessment method, system, equipment and medium
Technical Field
The invention relates to the field of plan evaluation, in particular to a long-period plan feasibility evaluation method, a system, equipment and a medium.
Background
At present, the mainstream in the manufacturing industry meets the requirements of the enterprise production planning (product level) to the workshop process planning (process level) and circulation by means of the order decomposition combination of a Material Requirement Plan (MRP) and a manufacturing operation management system (MOM) in an enterprise resource planning management system (ERP), and finally, the process planning and bottleneck resource gap with high rationality is considered in the process planning by means of an advanced planning and scheduling system (APS).
The above method for planning a process with high APS output rationality has the following problems when the enterprise is actually applied:
firstly, the operation speed is low, and the user expectation is difficult to achieve. Facing some high complexity manufacturing enterprises, such as: the method comprises the steps of carrying out MRP operation on input production planning according to BOM by taking APS as a solving path, outputting part level plans of products corresponding to all sub-items first, and decomposing all part level plans to procedure plans according to a process route. More than 1 million pieces of data are generated in one plan evaluation, which is not little pressure on the calculation of an application system and the data reading and storing of a database, and finally, the calculation performance is hard to reach the expectation for a user, and the plan cannot be released in time.
And secondly, the input cost is high, and the output rate is not high. The related system and functions are numerous, data among heterogeneous systems are transmitted by depending on a network, a RestFul API interface of an Http protocol is commonly adopted for transmission, the Http protocol does not limit the transmission size, but calculation is needed in a server memory in the transmission and analysis processes, the larger the single transmission data volume is, the more the server memory is occupied, and the more the number of the produced models is increased, so that an enterprise needs to continuously improve hardware configuration to continuously generate informationized cost for improving the operation speed. And because a plurality of heterogeneous systems are applied, a large amount of personnel investment of a plurality of posts is needed, if enterprises only carry out prediction evaluation on the feasibility of production planning, each evaluation involves more posts of enterprise departments, and one-time production planning evaluation has repeated adjustment and re-evaluation, so that the labor cost is huge and the continuous operation is difficult.
Thirdly, the construction difficulty is high, and the construction period is long. In order to ensure accurate results of predictive evaluation, basic data (equipment data, process data) required for predictive evaluation, planning data (production planning data, process planning data and the like) are required to be continuously synchronized among ERP, MES, APS heterogeneous systems, data integration requirements are provided for informatization system suppliers on one hand, data owners provide external access interfaces for data users, extra integration cost is required for enterprises, and frequent synchronization of the data is required for server hardware further, so that enterprises need to consider hardware improvement. In addition, the informatization system has long construction period and rapid industry wind direction change, and is also a time risk for enterprises.
Disclosure of Invention
In view of the above, the invention provides a long-period planning feasibility evaluation method, a system, equipment and a medium, provides a feasibility prediction evaluation method, improves the management and control capability of enterprises on planning, provides more scientific and reliable basis for the production planning of the enterprises, finally improves the resource utilization rate of the enterprises, and realizes the optimization of the production delivery period, thereby improving the economic benefit of the enterprises.
Based on the above objects, an aspect of the embodiments of the present invention provides a method, a system, a device, and a medium for evaluating feasibility of a long-period plan, which specifically include the following steps:
maintaining the bottom table data;
in response to receiving the long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition;
analyzing and deciding the comprehensive load condition to obtain an executable result;
in response to the result being non-executable, adjusting the bottom table data based on the product production cycle, and re-performing the feasibility assessment;
and responding to the executable result, and performing formal production planning.
In some embodiments, the base table data includes a work calendar, device definitions, process routes, bill of materials, and homemade-purchase policies.
In some embodiments, in response to receiving the long-period plan, performing a feasibility assessment on the long-period plan based on a number of base factors, the step of deriving the composite load condition includes:
obtaining basic factors;
combining the basic factors to obtain index factors;
and displaying the index factors as comprehensive load conditions in a chart mode based on a preset index factor rule.
In some embodiments, the step of obtaining the executable result by making an analysis decision on the composite load condition includes:
determining whether the current stage is in a planning stage or a plan execution stage;
assessing an executable for the long-period plan in response to the planning phase;
in response to a schedule execution phase, an executable is assessed for a history of incomplete long-period schedules along with a newly formulated long-period schedule.
In some embodiments, the step of performing the formal production plan includes:
before the formal production planning, the executable results and the comprehensive load conditions are combined to form an executable condition analysis report for guiding the formal production planning.
In some embodiments, the step of re-performing the feasibility assessment in response to the result being non-executable, adjusting the bottom table data based on the product production cycle comprises:
before the bottom table data are adjusted, judging whether the long-period plan is in a half product production period or not;
in response to being within a half product production cycle, then an adjustment is made according to a first strategy.
In some embodiments, the step of re-performing the feasibility assessment in response to the result being non-executable, adjusting the bottom table data based on the product production cycle further comprises:
in response to not being within a half product production cycle, then an adjustment is made according to a second strategy.
The invention provides a long-period plan feasibility evaluation system, which comprises:
a first unit configured to maintain the bottom table data;
the second unit is configured to respond to the received long-period plan, and perform feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition;
the third unit is configured to obtain an executable result by performing analysis decision on the comprehensive load condition;
a fourth unit configured to adjust the bottom table data based on the product production cycle in response to the result being non-executable, and re-perform the feasibility assessment;
and a fifth unit configured to perform a formal production plan in response to the result being executable.
The invention proposes a computer device comprising:
at least one processor; and a memory storing a computer program executable on the processor, the processor executing the steps of the one long-period planning feasibility assessment method when the program is executed.
The present invention proposes a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of the one long-period planning feasibility assessment method.
The invention has at least the following beneficial technical effects:
the invention provides a long-period plan feasibility assessment method, a system, equipment and a medium, wherein the method comprises the following steps: maintaining the bottom table data; in response to receiving the long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition; analyzing and deciding the comprehensive load condition to obtain an executable result; in response to the result being non-executable, adjusting the bottom table data based on the product production cycle, and re-performing the feasibility assessment; and responding to the executable result, and performing formal production planning. According to the invention, through optimizing the operation logic, the process data volume generated by operation is reduced, the single evaluation efficiency is improved, and decision support is provided for enterprises to quickly respond to market demands. The method has the advantages that the self capacity and the alliance supply chain capacity are combined and operated, a new operation logic is provided for evaluating the feasibility of the enterprise planning in the industrial alliance scene, meanwhile, the logic operation on index factors is realized, the data dependency degree is reduced, the learning cost of a user is reduced, the combined operation among a plurality of systems is decomposed, the planning feasibility recognition path is shortened, the number of system construction is reduced, and the realization cost is reduced. Capacity load measurement and calculation is supplied to the capacity and purchase of enterprises, capacity balance results are fed back, and theoretical basis is provided for risk identification and solution.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a long-period plan feasibility assessment method provided by the invention;
FIG. 2 is a block diagram of a long-period planning feasibility assessment system according to the present invention;
FIG. 3 is a flowchart illustrating a long-period planning feasibility evaluation method according to an embodiment of the invention;
FIG. 4 is a chart showing a report of equipment capability gap of a long-period planning feasibility assessment method provided by the invention;
FIG. 5 is a chart of equipment load report of a long-period plan feasibility assessment method provided by the invention;
FIG. 6 is a human gap report chart of a long-period plan feasibility assessment method provided by the invention;
FIG. 7 is a diagram showing a report of the supply capacity gap of a long-period planning feasibility assessment method according to the present invention;
FIG. 8 is a plant load thermodynamic diagram of a long-period planning feasibility assessment method provided by the present invention;
FIG. 9 is a flow chart of an exemplary embodiment of a method for evaluating long-period planning feasibility according to the present invention;
FIG. 10 is a schematic diagram illustrating a computer device according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an embodiment of a computer readable storage medium according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
It should be noted that, in the embodiments of the present invention, all the expressions "first" and "second" are used to distinguish two entities with the same name but different entities or different parameters, and it is noted that the "first" and "second" are only used for convenience of expression, and should not be construed as limiting the embodiments of the present invention, and the following embodiments are not described one by one.
The invention provides a long-period plan feasibility assessment method, referring to fig. 1 and 3, comprising the following steps:
s1: maintaining the bottom table data;
s2: in response to receiving the long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition;
s3: analyzing and deciding the comprehensive load condition to obtain an executable result;
s4: in response to the result being non-executable, adjusting the bottom table data based on the product production cycle, and re-performing the feasibility assessment;
s5: and responding to the executable result, and performing formal production planning.
Along with the gradual deepening of the lean production management concept, the manufacturing enterprises increasingly expect accurate details for the arrangement of the self production plan, and the single combat production mode is accompanied by the industry alliance, and the enterprises form an upstream and downstream supply chain with clear supply through resource integration and complementation, so that the market expansion capability and the risk resistance capability of the enterprises are improved, but the manufacturing period of alliance partners is required to be considered for ensuring the supply in the enterprise production plan arrangement, so that the production plan period is prolonged. Based on the method, a long-period plan simulation operation model is constructed, a feasibility prediction evaluation method is provided for production key factors of raw material purchase, equipment and manpower of an enterprise, the management and control capability of the enterprise on a plan is improved, a more scientific and reliable basis is provided for the production plan of the enterprise, the resource utilization rate of the enterprise is finally improved, and the optimization of the production lead time is realized, so that the economic benefit of the enterprise is improved.
In some embodiments, referring to fig. 1 and 3, the bottom list data includes a work calendar, device definitions, process routes, bill of materials, and homemade-purchase policies.
The manager maintains a working calendar, equipment definition, a process route, a bill of materials and a self-made and purchase strategy, and the manager maintains the working calendar, the equipment definition, the process route, the bill of materials and the self-made and purchase strategy according to the manufacturing condition of enterprises.
The working calendar is used as an enterprise management tool for identifying working days and non-working days in the enterprise production arrangement;
the equipment ledger is equipment information of each main manufacturing factory (work center) of an enterprise, and comprises: the number of equipment per shift, OEE, load target value, man-machine ratio, existing manpower and the like;
the process route is used to represent a processing route of an enterprise product, comprising: information such as products, each processing procedure, procedure qualification rate, procedure preparation man-hour, procedure equipment and the like;
the bill of materials is used for describing technical files of enterprise product compositions, and comprises: product, quota relationship, etc.;
the self-made and purchase strategy is to make the production and acquisition proportion of the product for enterprises in consideration of cost, production capacity, quality and other factors, and comprises the following steps: product, self-made ratio, procurement provider, etc.
In some embodiments, please refer to fig. 1, 4, 5, 6, 7, and 8; the step of obtaining the comprehensive load condition includes the following steps of:
obtaining basic factors;
combining the basic factors to obtain index factors;
and displaying the index factors as comprehensive load conditions in a chart mode based on a preset index factor rule.
And carrying out feasibility assessment on the input production plan, and outputting the capacity load condition, the manpower load gap condition and the supply capacity condition of an external supplier of the internal equipment of the enterprise for the production plan subjected to the feasibility assessment, wherein basic factors comprise working procedure processing periods and working procedure processing months, index factors comprise equipment month demand working hours, theoretical yield, productivity load rate, manpower demand working hours, demand manpower and difference manpower, the basic factors are combined and calculated to form index factors, and the index factors reflect the strength of the plan executable and the probability of being completed on schedule. The calculation logic of each factor is as follows:
wherein D is CycleTime The working procedure processing period is expressed as the time consumption of each working procedure in the processing process by taking a day as a unit. H StandardTime The standard working time is the standard working time of working procedures in the processing process by taking an hour as a unit. R is R Yield H is H in hours as the process yield RreTime For preparing working time of procedure, indicating fullThe actions such as material taking, equipment preheating and the like which are involved before the foot process begins to process are time-consuming. H ShiftHour The working hours of the working process are taken as units of hours, and the working hours corresponding to the working process of the equipment are obtained, for example, 8 hours of the working process, 15.5 hours of the second working process and 21.5 hours of the third working process.
Wherein M is FstLeadTime In month, sum (H) CycleTime ) D is the sum of the processing periods of all the working procedures in the process route, which is in the unit of day WorkDays For the number of days of monthly work, for example: 21.75 days or 30 days.
Wherein M is OthLeadTime The processing advance period of the non-first working procedure is in month unit. D (D) BefLeadTime Is the processing advance period of the last procedure which is not the first procedure. D (D) BefCycleTime The processing cycle of the last working procedure which is not the first working procedure is in the unit of day. D (D) WorkDays Days of monthly work, in days, for example: 21.75 days or 30 days.
M OpProcess =M PartNeed -M LeadTime
Wherein M is OpProcess The month for which the process is planned to be processed is a month unit, which indicates that the process is to be processed in a certain month, M PartNeed The month is required for the part, and the month is taken as a unit to indicate the month that the part needs to be produced. M is M leadTime In order to advance the working procedure, M is corresponding to the working procedure in terms of month FstLeadTime Early stage of first working procedure processing or M OthLeadTime And (5) a secondary working procedure processing advance period.
Wherein H is EqMonthCap Man-hours (demand capability) are demanded for a certain month device in units of hours; n is the number of required procedures of the equipment; q (Q) OpNeed The number of processes to be performed for a certain month of process. H StandardTime Standard working hours are used for working procedure processing, and the unit is hour; h PreTime The man-hours are used for preparing the working procedure.
H EqTheoreticalCap
=R OEE *D WorkDays *(Q FstShift +Q SecShift +Q ThdShift )
*H shiftHour
Wherein H is EqTheoreticalCap The theoretical capacity of the equipment is expressed in hours; r is R OEE The comprehensive utilization rate of the preset equipment is specified by manpower before evaluation; d (D) WorkDays For the number of days the device works, for example: 21.75 days or 30 days; q (Q) FstShift 、Q SecShift 、Q ThdShift The working quantity of the equipment under different shifts is calculated; h ShiftHour The working hours of the working process are taken as units of hours, and the working hours corresponding to the working process of the equipment are obtained, for example, 8 hours of the working process, 15.5 hours of the second working process and 21.5 hours of the third working process.
Wherein R is EqMonthLoad For a certain equipment (capacity) load rate, indicating the percentage relation between the capacity value provided by the equipment and the required capacity value in the current evaluation scene, when R EqMonthLoad >0, when R is R, representing overload operation of the equipment EqMonthLoad <0, representing the surplus of the equipment capacity; h EqMonthNeed The man-hour is required for the month, and the unit is hours.
H CapacityGap =H EqTheoreticalCap -H EqMonthCap
Wherein Q is CapacityGap For productivity difference, indicateThe productivity of a certain device varies in hours at a certain month when Q CapacityGap >0, when Q is CapacityGap <At 0, the productivity is insufficient.
H WorkerEff =D Worker *H DayHours *(1-R Allowance )
Wherein H is WorkerEff The effective working time of the personnel in a month is indicated, and the working time of the personnel in the month is expressed in units of hours; d (D) Worker The working days of a person in a month are given as a unit of days; h DayHours Working hours per month are the number of working hours per month of a person; r is R Allowance Additional time spent for non-pure jobs in the production process, and compensating for the duty cycle of some time affecting the job and normal time.
Wherein H is EqNeed The total required working hours of a certain device are in units of hours; and n is the number of required months of the equipment.
H WorkerNeed =H EqNeed *R MMR
Wherein H is WorkerNeed Man-hour is required by personnel of an operator of certain equipment, and the unit is hours; r is R MMR Is a man-machine ratio, indicating the ratio of the operator to the number of machines he is manipulating.
Wherein Q is Woker The number of operators required for a certain device is in units of one.
Q WorkerGap =Q WokerAva -Q Woker
Wherein Q is WorkerGap For the number of notches of an operator of a certain equipment, taking one as a unit, when Q WorkerGap >0, representing the surplus of people, when Q WorkerGap <At 0, the representative is not enough; q (Q) WokerAva The number of operators currently available for a certain device belongs to the maintenance data of the bottom table and takes the number as a unit.
Q SupplyGap =Q PartSupply -Q PartNeed
Wherein Q is SupplyGap Supplying a certain part or raw material with the number of notches, when Q SupplyGap >At 0, representing a supply greater than demand, there is a margin when Q SupplyGap <At 0, the representative needs to be greater than the supply, and there is a shortage; q (Q) PartNeed The number of the parts or the raw materials to be purchased is required for the month; q (Q) PartSupply The month may be supplied for a certain part or raw material.
As shown in fig. 4, 5, 6 and 7, the comprehensive load situation display is that the equipment, manpower and purchasing index factors are displayed in a graph mode, so that the manager is assisted to adjust the long-period plan, the index factors are represented by ' idle ', ' proper ', ' tension ' in ' three-level color separation of ' blue, yellow and red ', mu represents the capacity load rate, capacity difference and actual OEE, delta represents the difference manpower, sigma represents the supply gap, and the specific rules are as follows:
the "free" interval of μ is [0%,20% ], the "suitable" interval is (20%, 90% ], the "tension" interval is (90%, ++ infinity a) is provided;
the "idle" interval of δ is [0, + -infinity ], "suitable" interval is [ -1, 0), and "tension" interval is (-1, - + -infinity ];
the "free" interval of sigma is 0, ++ infinity]The "suitable" interval is [ -Q PartSupply *R difficulty 0), the "tension" interval [ -Q PartSupply *R difficulty *2,0);
As shown in fig. 8, the comprehensive load conditions are combined and displayed in a table and a graphical mode, the colors in the table are distinguished according to the index factor rule, and the comprehensive load conditions are obviously displayed in a thermodynamic diagram mode in the graphical mode.
In some embodiments, referring to fig. 1, 3 and 9, the step of obtaining whether the result is executable by making an analysis decision on the comprehensive load condition includes:
determining whether the current stage is in a planning stage or a plan execution stage;
assessing an executable for the long-period plan in response to the planning phase;
in response to a schedule execution phase, an executable is assessed for a history of incomplete long-period schedules along with a newly formulated long-period schedule.
Long-period plan feasibility assessment in the planning stage, the main purpose of the assessment is to predict and assess the feasibility and potential risk of the plan, to ensure that the implementation of the plan is completed successfully. In the plan execution process, more evaluation is to check and monitor the plan execution condition, identify and solve potential problems, so as to ensure the plan to be smoothly implemented.
When the plan is made, a plurality of visual charts of comprehensive load conditions are output through feasibility evaluation, so that a planner can know the performability of the current plan under the conditions of enterprise and alliance partner productivity, and can conveniently make corresponding adjustment,
during plan execution, feasibility plan evaluation is carried out on a rolling execution plan, the feasibility plan evaluation is carried out on a plan which is not completed in the history and a newly formulated long-period plan, the execution condition of the plan is checked, and execution deviation and future prediction are grasped according to the actual execution condition and the influence of the deviation.
In some embodiments, referring to fig. 1, 3 and 9, the step of performing the formal production plan includes:
before the formal production planning, the executable results and the comprehensive load conditions are combined to form an executable condition analysis report for guiding the formal production planning.
And forming an executable situation analysis report according to the comprehensive load situation output by the feasibility evaluation of the long-period plan, and taking the report as a theoretical support of the formal production plan, predicting and evaluating risks and problems possibly occurring in the plan, providing corresponding countermeasures and solutions to form a risk plan, and providing data support for strategic plans such as enterprise equipment purchase, personnel recruitment, factory building extension and the like.
In some embodiments, referring to fig. 1, 3 and 9, the step of re-performing the feasibility assessment based on the product production cycle adjustment base table data in response to the result being non-executable includes:
before the bottom table data are adjusted, judging whether the long-period plan is in a half product production period or not;
in response to being within a half product production cycle, then an adjustment is made according to a first strategy.
For planning the occurrence of equipment or supply chain bottlenecks to be delivered within half a product production cycle, a first strategy comprises prolonging the working days of the equipment from the equipment perspective, improving the procedures involved in the bottleneck equipment from the process perspective, and searching for deferrable tasks from the planning perspective.
After the first strategy is adjusted, the maintained base table data needs to be adjusted and then long-period planning feasibility assessment can be re-performed.
In some embodiments, referring to fig. 1, 3 and 9, the step of re-performing the feasibility assessment based on the product production cycle adjustment base table data in response to the result being non-executable further comprises:
in response to not being within a half product production cycle, then an adjustment is made according to a second strategy.
The second strategy comprises the steps of purchasing new equipment to increase the number of the equipment and introducing the new equipment to carry out production line upgrading from the equipment perspective, and the second strategy comprises the strategies of carrying out worker skill training and personnel recruitment from the process perspective, optimizing the production flow, reducing the waste of production links and the like.
When the second policy is adjusted, the maintained base table data needs to be adjusted, such as the working days of the equipment are prolonged, and the working days D in the equipment ledger are modified WorkDays The long-period planning feasibility assessment may then be re-performed.
The invention provides a long-period plan feasibility evaluation system, referring to fig. 2, comprising:
a first unit 100 configured to maintain the bottom table data;
a second unit 200 configured to, in response to receiving the long-period plan, perform a feasibility assessment on the long-period plan based on a number of base factors, resulting in a comprehensive load situation;
a third unit 300 configured to obtain an executable result by making an analysis decision on the comprehensive load situation;
a fourth unit 400 configured to adjust the bottom table data based on the product production cycle in response to the result being non-executable, and re-perform the feasibility assessment;
a fifth unit 500 is configured to perform a formal production plan in response to the result being executable.
The invention takes the process-level feasibility analysis accuracy as the premise, reduces the process data quantity generated by operation by optimizing operation logic, improves single evaluation efficiency, provides decision support for quick response market demand of enterprises, combines self capacity and alliance supply chain capacity for operation, provides a new operation logic for enterprise planning feasibility evaluation in industry alliance scenes, simultaneously realizes logic operation on index factors, reduces data dependency degree, reduces user learning cost, decomposes combined operation among a plurality of systems, shortens planning feasibility recognition paths, reduces the number of system construction, reduces realization cost, provides capacity and purchasing supply measuring and calculating capacity load for enterprises, feeds back capacity balance results, and provides theoretical basis for risk recognition and solution.
According to another aspect of the present invention, as shown in fig. 10, according to the same inventive concept, an embodiment of the present invention further provides a computer device 30, in which the computer device 30 includes a processor 310 and a memory 320, the memory 320 storing a computer program 321 executable on the processor, and the processor 310 executing the steps of the method as above.
According to another aspect of the present invention, as shown in fig. 11, there is also provided a computer-readable storage medium 40, the computer-readable storage medium 40 storing a computer program 410 which, when executed by a processor, performs the above method.
Embodiments of the invention may also include corresponding computer devices. The computer device includes a memory, at least one processor, and a computer program stored on the memory and executable on the processor, the processor executing any one of the methods described above when the program is executed.
The memory is used as a non-volatile computer readable storage medium for storing non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions/modules in the embodiments of the present application. The processor performs the various functional applications of the device and data processing, i.e., implements the methods described above, by running non-volatile software programs, instructions, and modules stored in memory.
The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the device, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In an embodiment, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the local module through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Finally, it should be noted that, as will be appreciated by those skilled in the art, all or part of the procedures in implementing the methods of the embodiments described above may be implemented by a computer program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program may include the procedures of the embodiments of the methods described above when executed. The storage medium of the program may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (RAM), or the like. The computer program embodiments described above may achieve the same or similar effects as any of the method embodiments described above.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. The foregoing embodiment of the present invention has been disclosed with reference to the number of embodiments for the purpose of description only, and does not represent the advantages or disadvantages of the embodiments. Furthermore, although elements of the disclosed embodiments may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
It should be understood that as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.
Those of ordinary skill in the art will appreciate that: the above discussion of any embodiment is merely exemplary and is not intended to imply that the scope of the disclosure of embodiments of the invention, including the claims, is limited to such examples; combinations of features of the above embodiments or in different embodiments are also possible within the idea of an embodiment of the invention, and many other variations of the different aspects of the embodiments of the invention as described above exist, which are not provided in detail for the sake of brevity. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the embodiments should be included in the protection scope of the embodiments of the present invention.

Claims (10)

1. A long-period planning feasibility assessment method, comprising:
maintaining the bottom table data;
in response to receiving the long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition;
analyzing and deciding the comprehensive load condition to obtain an executable result;
in response to the result being non-executable, adjusting the bottom table data based on the product production cycle, and re-performing the feasibility assessment;
and responding to the executable result, and performing formal production planning.
2. The long-period planning feasibility assessment method of claim 1, wherein said base table data comprises a work calendar, equipment definition, process route, bill of materials and homemade-purchase strategy.
3. The long-period plan feasibility assessment method of claim 1, wherein said step of obtaining an integrated load situation in response to receiving a long-period plan, performing feasibility assessment on the long-period plan based on a plurality of basic factors comprises:
obtaining basic factors;
combining the basic factors to obtain index factors;
and displaying the index factors as comprehensive load conditions in a chart mode based on a preset index factor rule.
4. The method of claim 1, wherein the step of obtaining the executable result by making an analysis decision on the comprehensive load situation comprises:
determining whether the current stage is in a planning stage or a plan execution stage;
assessing an executable for the long-period plan in response to the planning phase;
in response to a schedule execution phase, an executable is assessed for a history of incomplete long-period schedules along with a newly formulated long-period schedule.
5. The long-period planning feasibility assessment method of claim 1, wherein said step of performing a formal production plan comprises:
before the formal production planning, the executable results and the comprehensive load conditions are combined to form an executable condition analysis report for guiding the formal production planning.
6. The long-period planning feasibility assessment method of claim 1, wherein said step of re-performing feasibility assessment based on the product production period adjustment base table data comprises:
before the bottom table data are adjusted, judging whether the long-period plan is in a half product production period or not;
in response to being within a half product production cycle, then an adjustment is made according to a first strategy.
7. The long-period planning feasibility assessment method of claim 6, wherein said step of re-performing feasibility assessment based on the product production period adjustment base table data in response to the result being non-executable further comprises:
in response to not being within a half product production cycle, then an adjustment is made according to a second strategy.
8. A long-period planning feasibility assessment system, comprising:
a first unit configured to maintain the bottom table data;
the second unit is configured to respond to the received long-period plan, and perform feasibility assessment on the long-period plan based on a plurality of basic factors to obtain a comprehensive load condition;
the third unit is configured to obtain an executable result by performing analysis decision on the comprehensive load condition;
a fourth unit configured to adjust the bottom table data based on the product production cycle in response to the result being non-executable, and re-perform the feasibility assessment;
and a fifth unit configured to perform a formal production plan in response to the result being executable.
9. A computer device, comprising:
at least one processor; and a memory storing a computer program executable on the processor, wherein the processor executes the program to perform the steps of a long-period plan feasibility assessment method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, performs the steps of a long-period planning feasibility assessment method according to any one of claims 1 to 7.
CN202311528144.XA 2023-11-15 2023-11-15 Long-period plan feasibility assessment method, system, equipment and medium Pending CN117519023A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117726146A (en) * 2024-02-08 2024-03-19 浪潮通用软件有限公司 Method, equipment and medium for realizing flow automation aiming at material demand planning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117726146A (en) * 2024-02-08 2024-03-19 浪潮通用软件有限公司 Method, equipment and medium for realizing flow automation aiming at material demand planning
CN117726146B (en) * 2024-02-08 2024-05-14 浪潮通用软件有限公司 Method, equipment and medium for realizing flow automation aiming at material demand planning

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