Cell formation using tabu search
Computers and Industrial Engineering - Collection of papers on Computer-Integrated Manufacturing
Computers and Industrial Engineering
Part family formation based on alternative routes during machine failure
Proceedings of the 23rd international conference on on Computers and industrial engineering
A simulated annealing algorithm for manufacturing cell formation problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A mathematical approach for the formation of manufacturing cells
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Clustering algorithm for solving group technology problem with multiple process routings
Computers and Industrial Engineering
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Cell formation is the first step in the design of cellular manufacturing systems. In this study, an efficient tabu search algorithm based on a similarity coefficient is proposed to solve the cell formation problem with alternative process routings and machine reliability considerations. In the proposed algorithm, good initial solutions are first generated and later on improved by a tabu search algorithm combining the mutation operator and an effective neighborhood solution searching mechanism. Computational experiences from test problems show that the proposed approach is extremely effective and efficient. When compared with the mathematical programming approach which took three hours to solve problems, the proposed algorithm is able to produce optimal solutions in less than 2s.