A simulated annealing algorithm for facility layout problems under variable demand in Cellular Manufacturing Systems

2001 ◽  
Vol 46 (2) ◽  
pp. 181-188 ◽  
Author(s):  
T.Y. Wang ◽  
K.B. Wu ◽  
Y.W. Liu
Keyword(s):  
Simulated Annealing ◽  
Manufacturing Systems ◽  
Simulated Annealing Algorithm ◽  
Cellular Manufacturing ◽  
Facility Layout ◽  
Cellular Manufacturing Systems ◽  
Variable Demand ◽  
Annealing Algorithm

scholarly journals Design of a facility layout model in hybrid cellular manufacturing systems under variable demand

2011 ◽  
Vol 9 (4) ◽  
pp. 373 ◽  
Author(s):  
Shahram Ariafar ◽  
Napsiah Ismail ◽  
Sai Hong Tang ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
Zahra Firoozi
Keyword(s):  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Facility Layout ◽  
Cellular Manufacturing Systems ◽  
Variable Demand

scholarly journals Multi Objective Simulated Annealing Approach for Facility Layout Design

2018 ◽  
Vol 3 (4) ◽  
pp. 365-380 ◽  
Author(s):  
Safiye Turgay
Keyword(s):  
Simulated Annealing ◽  
Objective Function ◽  
Material Handling ◽  
Simulated Annealing Algorithm ◽  
Facility Layout ◽  
Layout Design ◽  
Local Optima ◽  
Facility Layout Design ◽  
Multi Objective ◽  
Annealing Algorithm

Facility layout design problem considers the departments’ physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.

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