The reconfiguration issue of stochastic facility layout design in cellular manufacturing systems

2012 ◽  
Vol 11 (3) ◽  
pp. 255 ◽  
Author(s):  
Shahram Ariafar ◽  
Napsiah Ismail ◽  
Sai Hong Tang ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
Zahra Firoozi
Keyword(s):  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Facility Layout ◽  
Layout Design ◽  
Cellular Manufacturing Systems ◽  
Facility Layout Design

411 A Hybrid Layout Design Optimization Method for Robotic Cellular Manufacturing Systems

2015 ◽  
Vol 2015 (0) ◽  
pp. 111-112
Author(s):  
Xiaobo BAI ◽  
Takayuki YAMADA ◽  
Kazuhiro IZUI ◽  
Shinji NISHIWAKI ◽  
Akio NODA ◽  
...  
Keyword(s):  
Design Optimization ◽  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Optimization Method ◽  
Layout Design ◽  
Cellular Manufacturing Systems

scholarly journals 2416 A Two Step Layout Design Optimization Method for Robotic Cellular Manufacturing Systems

2013 ◽  
Vol 2013.23 (0) ◽  
pp. _2416-1_-_2416-10_
Author(s):  
Xiaobo Bai ◽  
Takayuki YAMADA ◽  
Kazuhiro IZUI ◽  
Shinji NISHIWSKI ◽  
Issei SUEMITSU ◽  
...  
Keyword(s):  
Design Optimization ◽  
Manufacturing Systems ◽  
Cellular Manufacturing ◽  
Optimization Method ◽  
Layout Design ◽  
Cellular Manufacturing Systems

A SIMULATED ANNEALING FOR INTRA-CELL LAYOUT DESIGN OF DYNAMIC CELLULAR MANUFACTURING SYSTEMS WITH ROUTE SELECTION, PURCHASING MACHINES AND CELL RECONFIGURATION

2013 ◽  
Vol 30 (04) ◽  
pp. 1350004 ◽  
Author(s):  
REZA KIA ◽  
NIKBAKHSH JAVADIAN ◽  
MOHAMMAD MAHDI PAYDAR ◽  
MOHAMMAD SAIDI-MEHRABAD
Keyword(s):  
Simulated Annealing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Cellular Manufacturing ◽  
Layout Design ◽  
Route Selection ◽  
Cellular Manufacturing Systems ◽  
Cell Material ◽  
Proposed Model ◽  
Dynamic Cellular Manufacturing Systems

This paper develops a novel mixed integer nonlinear programming model for the intra-cell layout design of dynamic cellular manufacturing systems. In dynamic environment, the product mix and part demand are varying during a multi-period planning horizon. As a result, the cell configuration for one period may not be efficient for successive periods and thus necessitates reconfigurations. The proposed model incorporates several design features including intra-cell layout, operation sequence, operation time, alternative process routings, duplicate machines, purchase machine, machine capacity, route selection, production volume of parts, part movements in batch and cell reconfiguration. By considering intra-cell layout and operation sequence, the material handling volume and related cost is calculated more exactly. The objective is to minimize the total costs of inter-cell material handling, forward and backward intra-cell material handling, setting up route, machine relocation, purchasing new machines, machine overhead and machine processing. The main constraints are route selection among flexible routings, machine availability, cell size, machine time-capacity and machine location. The proposed model cannot be solved for large-sized problems optimally within a reasonable amount of computational time. Therefore, an efficient simulated annealing algorithm is developed to overcome NP-hardness of the proposed model.

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