CN107918814A - A kind of manufacturing resource allocation method towards low-carbon process planning - Google Patents
A kind of manufacturing resource allocation method towards low-carbon process planning Download PDFInfo
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- CN107918814A CN107918814A CN201711340336.2A CN201711340336A CN107918814A CN 107918814 A CN107918814 A CN 107918814A CN 201711340336 A CN201711340336 A CN 201711340336A CN 107918814 A CN107918814 A CN 107918814A
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Abstract
The invention discloses a kind of manufacturing resource allocation method towards low-carbon process planning, include the following steps：1) required according to the statistical process of product, carry out the pre-configured of manufacturing recourses；The pre-configured stage considers that process, machining accuracy, the appearance and size of product are matched with manufacturing recourses, the state and working ability of manufacturing recourses are considered at the same time, cluster analysis is carried out to manufacturing recourses working ability, workshop can be carried out with manufacturing recourses with processing performance and technology characteristics pre-configured；2) based on pre-configured as a result, considering constraints to the influence to Manufacturing Resources Decision in dynamic optimization configuration；Consider that carbon emission constrains the influence to manufacturing resource allocation decision-making, establish with minimum process process time TminWith minimum carbon emission cost CminFor the Model for Multi-Objective Optimization of optimization aim, and Optimized model is solved using genetic algorithm, manufacturing resource allocation result is more preferably adapted to processing request, support is provided for the process resource decision-making towards low-carbon process planning.
Description
Technical field
The present invention relates to manufacturing technology planning field, specifically, is related specifically to a kind of towards low-carbon Process Planning
The manufacturing resource allocation method drawn.
Background technology
Important substance basis of the manufacturing recourses as process planning system, its allocation problem realize function process planning
Aspect plays the role of very important.Manufacturing resource allocation problem in process planning will with design mainly around the information of product
Ask, and according to the resource situation and technological ability of each manufacturing cell, according to the process knowledge accumulated, the science under goal constraint
Manufacturing recourses are reasonably selected, realize that economic benefit, technical benefits and environmental benefit maximize.
At present, Manufacturing resources optimization deployment research is concentrated mainly on Manufacturing resources optimization deployment model and Optimal Configuration Method
Two aspects.In terms of most optimum distribution of resources scale-model investigation, or for shop Planning and scheduling problem, or for networking
The co-simulation modeling problem of resource under background is manufactured, or adapts to the manufacturing recourses of the multi items Alternative demand of flexible manufacturing system
The research of optimization is studied in the hope of thoroughly discharging the ability of manufacturing recourses, or from the angle of virtual enterprise, is manufactured from selection
The angle of the carrier (manufacturing cell or enterprise) of resource establishes Manufacturing resources optimization model, and carries out resource assessment and selection.
Assessment indicator system mainly includes delivery date (T), cost (C), quality (Q), service (S) etc.；In the side of distributing rationally
In terms of method research：Currently mainly Research of Decision is carried out from the angle of multiple-objection optimization.Main method has：
1) mathematics integer programming method, its main thought are to distribute mould rationally with what the method for integer programming established resource
Type, but the algorithm well cannot quantify some optimizing index；
2) analytic hierarchy process (AHP), although this method can be quantified well for some qualitative indexes, it is right
The coherence request of judgment matrix generally requires to adjust repeatedly, is carried out with estimation substantially, with great blindness, and
Often there is also difference with people's policy-making thought uniformity for the uniformity of judgment matrix；
3) genetic algorithm, this method can be solved well for multi-objective optimization question.On the whole, Process Planning
Manufacturing resource allocation problem in drawing has been obtained for widely paying close attention to, and relevant achievement in research also continuously emerges.
Carbon emission to technical process and resource distribution correlative study at present achieved respectively some it is breakthrough into
Exhibition, it is proposed that corresponding solution and evaluation method.However, the complexity due to machining system consumption manufacturing recourses problem
Property, the imperfection etc. of the diversity of product manufacturing environment and evaluation criterion, low-carbon constraint is to system in shorter mention process planning
Make the influence of resource distribution.At present for manufacturing resource allocation in technical process optimizing research mainly with quality, cost, when
Between or profit etc. be optimization aim, although having there is part research to pay close attention to power dissipation obj ectives, these mostly researchs are only to consider
Single object optimization method, minority consider the research of multiple targets be also with the optimization method of the conventional targets such as cost, time, quality,
The eco-environmental impact index of shorter mention to process is optimization aim, and the optimizing resource allocation towards low-carbon emission needs
Further further investigation.
Traditional computer-aided process planning (Computer Aided Process Planning, CAPP) system weight
Point often focuses on the design in terms of pure technology, without considering the working ability of manufacturing recourses and the system of carbon emission information
Optimizing resource allocation problem is made, in CAPP and production schedule control (Production Planning and Control, PPC)
Intergration model on, be also seldom related to and the relevant implementation method of carbon emission.
The content of the invention
It is an object of the invention to for deficiency of the prior art, there is provided a kind of manufacture towards low-carbon process planning provides
Source collocation method, to solve problems of the prior art.
Technical problem solved by the invention can be realized using following technical scheme：
A kind of manufacturing resource allocation method towards low-carbon process planning, includes the following steps：
1) required according to the statistical process of product, available manufacturing recourses are screened, carry out the prewired of manufacturing recourses
Put；
The pre-configured stage considers that process, machining accuracy, the appearance and size of product are matched with manufacturing recourses, at the same time
Consider the state and working ability of workshop manufacturing recourses, cluster analysis is carried out to manufacturing recourses working ability, with processing performance
Workshop can be carried out with manufacturing recourses with technology characteristics pre-configured；
3) it is pre-configured as a result, considering constraints to selecting manufacturing recourses in dynamic optimization configuration based on manufacturing recourses
The influence selected；
Consider that carbon emission constrains the influence to manufacturing resource allocation decision-making, establish with minimum process process time TminWith
Minimum carbon emission cost CminFor the Model for Multi-Objective Optimization of optimization aim, and Optimized model is solved using genetic algorithm,
Manufacturing resource allocation result is set more preferably to adapt to processing request, while carbon emission amount is minimum, is towards low-carbon process planning
Process resource decision-making provides support.
Further, the statistical process requires to include required precision and roughness requirements, and the constraints includes adding
Between man-hour and carbon emission cost.
Further, it is that clustering method includes classification, determines Measure Indexes and cluster analysis.
Compared with prior art, the beneficial effects of the present invention are：
1) resource allocation method the present invention provides engineering goods in the fabrication process, the work especially based on cutting
Manufacturing resources optimization deployment during skill, is on the one hand objectively promoting low-carbon technology to implement in the effective of manufacturing field, product
Pole promotes manufacturing enterprise to manufacture transformation to low-carbon；
2) present invention can give the carbon emission assessment in production stage to provide theories integration, from process planning level selection
The less manufacturing recourses of carbon emission, reduce the carbon emission of process generation, and then are commented for the carbon emission of China's engineering goods
Offer reference is provided, formulates product carbon emission standard for China, carbon identifies and tackles the trade barrier such as carbon tariff to have to promote and anticipate
Justice.
Brief description of the drawings
Fig. 1 is the schematic diagram of the manufacturing recourses disaggregated model of UML of the present invention descriptions.
Fig. 2 is the schematic diagram of the CAPP/PPC integrated models of the present invention based on dynamic process.
Fig. 3 is the schematic diagram of the mapping relations of technology characteristics of the present invention, method and manufacturing recourses.
Fig. 4 is the clustering method schematic diagram of manufacturing recourses of the present invention.
Embodiment
To make the technical means, the creative features, the aims and the efficiencies achieved by the present invention easy to understand, with reference to
Embodiment, the present invention is further explained.
" resource " in manufacture system of the present invention is also known as manufacturing recourses, is that enterprise completes the whole Life Cycle of product
The general name of the physical element of phase all production activities, is the basis of manufacturing enterprise's normal operation.
" manufacturing recourses " herein refer to thing energy resource, including in the processing activity of product it is associated with technical factor
Power consumption, resource consumption.For simplicity, the energy consumption involved in process, resource consumption are referred to as manufacture money
Source is consumed (see Fig. 1).
Simultaneously as the carbon footprint tool of the generation such as both subsidiary streams caused by frock clamp in manufacturing recourses and technique conversion
There are diversity and its a complexity, and their carbon footprint research border is clearly defined with greater need for making in detail, therefore, frock folder
The carbon footprint analysis present invention of the generation such as tool and both subsidiary streams wouldn't be considered.In the technical process of main research product of the invention
The partner selection of the technical factor associated with manufacturing object, process, process time, specifically including manufacturing shop can
The manufacturing resource allocation of machine tool, cutter, cutting fluid, lubricating oil etc..
I, required, manufacturing recourses are carried out pre-configured according to the statistical process of product：
During Process Plans generation, first premised on ensureing processing quality, required according to the statistical process of product,
The state and working ability of workshop manufacturing recourses are considered at the same time, cluster analysis are carried out to manufacturing recourses working ability, with processing
Performance, technology characteristics etc. can carry out workshop pre-configured with manufacturing recourses.The stage mainly consider product process,
Machining accuracy, appearance and size are matched with corresponding indexs such as the working abilities of manufacturing recourses, in the working ability of available resources
In the range of realize the reasonable dispositions of manufacturing recourses, lay the foundation for fast search process equipment and instrument.
Broadly, technology characteristics are the relevant information aggregates of description of one group and product.The machining feature of product is
Statistical process demand, is the geometric element (point, line, surface, body) of low level specifically contacting between product entity, passes through geometry
The combination of element, forms the shape and structure that can express product specific function；Meanwhile feature and its component are as processing essence
The carrier of the non-geometry information such as degree, roughness and material, being capable of the product letter wanted of clear, complete expression process design
Breath, is statistical process demand.
From the point of view of manufacture, the manufacturing process of product is to form the group that the Basic geometrical form of product is processed one by one
Close, the unit key element for forming these Basic geometrical forms is the shape facility of product.The statistical process feature of product corresponds to
Appropriate process, and mutually restricted between process and manufacturing recourses, therefore, establishing technology characteristics, process
With that, (see Fig. 3), can realize the constraint of Manufacturing Resources Decision by certain association on the premise of the mapping relations of manufacturing recourses,
So as to improve the reasonability of resource distribution.
On the basis of the statistical process feature of extraction product, using clustering method, to manufacturing recourses working ability
Cluster analysis is carried out, workshop can be carried out with manufacturing recourses with processing performance, technology characteristics etc. pre-configured.To manufacturing recourses
Clustering method include 3 main contents：Classify, determine Measure Indexes and cluster analysis (as shown in Figure 4).
II, based on it is pre-configured as a result, realize manufacturing recourses dynamic optimization configuration
Consider that carbon emission constrains the influence to manufacturing resource allocation decision-making, establish with minimum process process time TminIt is (high
Effect) and minimum carbon emission cost Cmin(low-carbon) is the Model for Multi-Objective Optimization of optimization aim, and application genetic algorithm is to optimizing mould
Type is solved, it is intended to manufacturing resource allocation result is more preferably adapted to processing request, while carbon emission amount is minimum, be towards
The process resource decision-making of low-carbon process planning provides support.
To solve towards the resource efficiency of energy-saving and emission-reduction and the complex optimization problem of carbon emission, it is necessary to be provided in substantial amounts of manufacture
Search meets the Tactic selection of the production decision of editing objective, i.e. technical factor consumption resource in source.Due in manufacturing process
Manufacturing recourses are large number of, and have dynamic and isomerism, therefore even if using unified describing mode, select suitable resource
Configure and tissue is carried out to it to meet that user demand is also relatively difficult.Therefore, it is necessary to largely being provided present in manufacturing process
Source carries out data mining, so as to improve the search efficiency of resource and the accuracy of resource allocation, adapt to resource dynamic change and
The objective optimization demand of production process.
The decision problem of manufacturing recourses is a typical np problem, more complicated than the decision-making of process route.For letter
Change the solution of challenge, herein using classification solution strategies, the computer aided manufacturing based on dynamic process, using manufacturing recourses as core
Technological design (Computer Aided Process Planning, CAPP)/production schedule is helped to control (Production
Planning and Control, PPC) concurrent integration pattern, the dynamic process in CAPP/PPC integrating process is optimized and is made
Most optimum distribution of resources problem is made to be studied.
1) the CAPP/PPC integrated models based on quiet dynamic process
Dynamic process plan is also known as Nonlinear engineering structurc, is that any all or part has alternative Process Planning
Draw.Alternative item can be process equipment, processing method or whole process route.Dynamic process plan can improve manufacturing recourses
To the responding ability of continually changing production process.Based on dynamic process
CAPP/PPC integrated models are following (see Fig. 2).The integrated model has following features：1. since the processing of product is special
Sign sequence has un-uniqueness, therefore process program also has diversity, is mainly required at this time according to the processing quality of product, production
The raw statistical process planning unrelated with manufacturing recourses real-time status；2. PPC is processed task and is analyzed with manufacturing recourses, according to zero
The technology characteristics of part performance, carry out the interaction analysis of production task and working ability, according to the real-time condition of manufacturing recourses, are formed
Manufacturing recourses dynamic model.Under the premise of CAPP and PPC concurrent integrations, according to the behavioral characteristics of manufacturing recourses, part work is realized
Sequence is in the real-time matching to interior available manufacturing recourses of fixing time.Set optimization aim and constraints, realize process optimization and
Manufacturing resource allocation optimizes.3. the model is beneficial to distributed integeration as core concept to be distributed with, be conducive to reduce process planning
With the scale of production control, the complexity solved due to the problem of centralized integrated belt comes is reduced, so that face be better achieved
To CAPP and PPC the concurrent engineering integrated model of low-carbon technique.
2) manufacturing resource allocation and Optimized Implementation Method
Present invention is generally directed to the relevant process sequence planning of manufacturing recourses decision-making and Manufacturing resources optimization deployment problem.
First according to the statistical process of product processing quality demand plan, manufacturing recourses working ability is analyzed, with processing performance,
Technology characteristics etc. carry out the manufacturing recourses of needs pre-configured.The stage mainly considers the process of product, processing essence
Degree, appearance and size are matched with corresponding indexs such as the working abilities of manufacturing recourses, it is ensured that disclosure satisfy that using the manufacturing recourses
The processing quality requirement of the part process.In general, the manufacturing recourses more than one of the processing conditions, this stage be disclosure satisfy that
Result form optional Dynamic process plan.
Process oriented optimization manufacturing recourses decision-making level, statistical process planning manufacturing resource allocation basis
On, using process time and processing cost as object function, the physical constraint condition of the carbon emission of technical process is considered, in dynamic work
An optimal process route is selected in skill, realizes process optimization and manufacturing resource allocation optimization.
The basic principles, main features and the advantages of the invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (3)
- A kind of 1. manufacturing resource allocation method towards low-carbon process planning, it is characterised in that include the following steps：1) required according to the statistical process of product, available manufacturing recourses are screened, carry out the pre-configured of manufacturing recourses；The pre-configured stage considers that process, machining accuracy, the appearance and size of product are matched with manufacturing recourses, considers at the same time The state and working ability of workshop manufacturing recourses, carry out cluster analysis, with processing performance and work to manufacturing recourses working ability Skill feature can carry out workshop pre-configured with manufacturing recourses；2) it is pre-configured as a result, considering constraints to Manufacturing Resources Decision in dynamic optimization configuration based on manufacturing recourses Influence；Consider that carbon emission constrains the influence to manufacturing resource allocation decision-making, establish with minimum process process time TminWith it is minimum Carbon emission cost CminFor the Model for Multi-Objective Optimization of optimization aim, and Optimized model is solved using genetic algorithm, make system Processing request can more preferably be adapted to by making Resource-Allocation Result, while carbon emission amount is minimum, be the technique towards low-carbon process planning Resource decision provides support.
- 2. the manufacturing resource allocation method according to claim 1 towards low-carbon process planning, it is characterised in that described quiet State technological requirement includes required precision and roughness requirements, and the constraints includes process time and carbon emission cost.
- 3. the manufacturing resource allocation method according to claim 1 towards low-carbon process planning, it is characterised in that be poly- Alanysis method includes classification, determines Measure Indexes and cluster analysis.
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Cited By (6)
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| CN108829036A (en) * | 2018-06-12 | 2018-11-16 | 昆明理工大学 | A kind of Optimization Scheduling of metal slab shaping by stock removal process |
| CN110930028A (en) * | 2019-11-22 | 2020-03-27 | 上海电机学院 | Machining manufacturing resource allocation method based on cluster analysis method |
| CN111047081A (en) * | 2019-11-28 | 2020-04-21 | 上海电机学院 | Manufacturing resource allocation optimization decision method for green production |
| CN111401758A (en) * | 2020-03-20 | 2020-07-10 | 中船重工信息科技有限公司 | Pipe manufacturing resource allocation method oriented to product characteristics |
| CN112861433A (en) * | 2021-02-05 | 2021-05-28 | 山东大学 | Product low-carbon design method based on multi-level integrated framework |
| CN116681266A (en) * | 2023-08-02 | 2023-09-01 | 广东台正精密机械有限公司 | Production scheduling method and system of mirror surface electric discharge machine |
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| CN116681266A (en) * | 2023-08-02 | 2023-09-01 | 广东台正精密机械有限公司 | Production scheduling method and system of mirror surface electric discharge machine |
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Application publication date: 20180417 |