A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems
Identifieur interne : 002777 ( Main/Exploration ); précédent : 002776; suivant : 002778A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems
Auteurs : Ghorbanali Moslemipour [Malaisie] ; Tian Soon Lee [Malaisie] ; Dirk Rilling [Malaisie]Source :
- The International Journal of Advanced Manufacturing Technology [ 0268-3768 ] ; 2012-04-01.
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Abstract
Abstract: Facility layout problem is associated with the arrangement of facilities in a plant. It is a critical issue in the early stages of designing a manufacturing system because it affects the total manufacturing cost significantly. Dynamic and robust layouts are flexible enough to cope with fluctuations and uncertainties in product demands in volatile environment of flexible manufacturing systems. Since the facility layout is a hard combinatorial optimization problem, intelligent approaches are the most appropriate methods for solving the large size of this problem in reasonable computational time. In this paper, first of all, dynamic and robust layouts are surveyed. After a quick look of different mathematical models, including quadratic assignment, quadratic set covering, mixed integer programming, and graph theoretic models, the various solution methods especially intelligent approaches along with their advantages and disadvantages are surveyed. Finally, after review of hybrid algorithms, the conclusion of this paper is reported.
Url:
DOI: 10.1007/s00170-011-3614-x
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It is a critical issue in the early stages of designing a manufacturing system because it affects the total manufacturing cost significantly. Dynamic and robust layouts are flexible enough to cope with fluctuations and uncertainties in product demands in volatile environment of flexible manufacturing systems. Since the facility layout is a hard combinatorial optimization problem, intelligent approaches are the most appropriate methods for solving the large size of this problem in reasonable computational time. In this paper, first of all, dynamic and robust layouts are surveyed. After a quick look of different mathematical models, including quadratic assignment, quadratic set covering, mixed integer programming, and graph theoretic models, the various solution methods especially intelligent approaches along with their advantages and disadvantages are surveyed. 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