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논문 기본 정보

자료유형
학술저널
저자정보
Mitsuo Gen (Fuzzy Logic Systems Institute (FLSI)) Lin Lin (Fuzzy Logic Systems Institute (FLSI))
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제11권 제4호
발행연도
2012.12
수록면
310 - 330 (21page)

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초록· 키워드

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Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic populationbased metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

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ABSTRACT
1. INTRODUCTION
2. MULTIOBJECTIVE GENETICALGORITHM
3. FLEXIBLE JOB SHOP SCHEDULING MODELS
4. AGV DISPATCHING MODELS
5. ADVANCED PLANNING ANDSCHEDULING MODELS
6. CONCLUSION
ACKNOWLEDGMENTS
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2014-530-000619421