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Research And Implementation Of Production Planning Al-Gorithm In Virtual Enterprise

Posted on:2013-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:R X HuangFull Text:PDF
GTID:2248330395975090Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Nowadays, industry is under the dramatically global competition environment which ismore and more fierce. Manufacturing, as a kind of industry, is also facing the global competi-tion in the field of resources, marketing, and technique and so on and the various categories ofrequirements make the market become more unpredictable. Because of the change of the out-er environment, the traditional market is not suitable for competition of manufacturing marketat present. With the environment that changes never wait for you, the enterprises need to cor-porate closely, share resources, and utilize the core resources. The appearance of agile manu-facturing creates new impetus to the development of nowadays manufacturing, and virtualenterprise, as the main organization form of implementing agile manufacturing, provide ahigher plant of the development of manufacturing.Selection of partner and produce plan making are two core aspects of the business of thevirtual enterprise, and provide the theory guideline for actual procedure. This paper beginswith the features of enterprise partner selection and produce plan making. We study the relat-ed theory of enterprise partner selection and build the ally foundation of produce plan making;and then, we analyze the two-layer module of virtual enterprise producing and use it as thebasic important point to discuss the time-cost producing plan model and optimize global pro-ducing plan; Based on the previous researches, we implement a origin system of virtual en-terprise which provides a effective way for virtual enterprise to run its real business. The mainwork and achievements are shown below:(1)Aiming the characteristics of virtual enterprise partner selection, we use the ap-proximation of ideal point method to establish an evaluation model based on time, cost andconsistency and use heuristic algorithm to solve the problem. Creating a objective function bytaking positive ideal point and negative ideal point into consideration and use ant colony al-gorithm to solve the model.(2)Aiming the characteristics of virtual enterprise global producing plan, we estab-lished a minimized time-cost producing plan model and use the heuristic algorithm to solvethe model. Then, we create an optimized model aiming to minimize the enterprise globalwork time by using genetic algorithm and simulated annealing algorithm. Meanwhile, weproposed a improved multi-group simulated annealing genetic algorithm to solve the model.(3)Based on studying the related theory of virtual enterprise, we implemented a originsystem of virtual enterprise partner selection and producing plan making, especially focusingon these two aspects–partner selection and producing plan making, which solve the basic producing flow control problem during the real business running of virtual enterprise.
Keywords/Search Tags:virtual enterprise, partner selection, topsis, ant algorithm, production planning, improved multi-population genetic algorithm
PDF Full Text Request
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