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Virtual Enterprise Production Planning and Scheduling Optimization Model

Author: LuoGen
Tutor: GaoYang
School: Central South University
Course: Management Science and Engineering
Keywords: virtual enterprise production planning and scheduling multi-group annealing genetic algorithm hybrid of ant colony and genetic algorithm
CLC: F273
Type: Master's thesis
Year: 2008
Downloads: 178
Quote: 1
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Abstract


Nowadays, the manufacturing industry is facing the global competition on market, resource, technology.At the same time,it is facing with personalized and timeliness requirements of the consumers. The traditional manufacturing mode has not well adapted to the competitive manufacturing market because of the changes of market conditions and consumers’ demand. This Agile Manufacturing has brought a new way to develop the manufacturing enterprises. Virtual Enterprise as the main form of agile manufacturing, has acrossed the concept stage and entered in the phase of the operation.Production planning and scheduling of virtual enterprise is the core of the operation. In the actual operation, the virtual enterprise needs production planning, scheduling theory and methods to provide guidance. For the characteristics of the production planning, this paper studies the level model of production planning and scheduling of virtual enterprise.Based on it, the time-cost production planning model and global production planning have been studied. Then, the production scheduling problem in the members of the Virtual Enterprise has been discussed. The flexible job-shop scheduling and dynamic scheduling has been studied.The content of this paper is as follows:(1) For the upper production planning in the Virtual Enterprise,a production planning model based on the time-cost is proposed in this paper ,and it is resolved by the heuristic method.Then another optimized model based on global production plan of minimum time has been developed .This model has been resolved by the multi-group annealing genetic algorithm(MAGA),which has mixed annealing algorithm and genetic algorithm.(2) For the lower production planning in the Virtual Enterprise, this paper studied two types of more complicated scheduling problems.One was the multi-objective flexible job-shop scheduling problem. The hybrid of ant colony and genetic algorithm (HACGA) has been proposed to solve the problem.The other was the dynamic job-shop scheduling problem.This paper adapted integration strategy of event-driven and periodic re-scheduling. Then simulated the dynamic scheduling caused by incident.(3) Through the analysis of a case, the application of the Job-Shop Scheduling in the virtual enterprise has been studied.

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CLC: > Economic > Economic planning and management > Enterprise economy > Production management
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