Comparative study of simulated annealing, genetic algorithms and tabu search for solving binary and comprehensive machine-grouping problems

International Journal of Production Research

Volumn 40, Issue 9, 2002, Pages 2141-2158

  Zolfaghari, S ^a   Liang, M ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; HEURISTIC METHODS; POLYNOMIALS; PROBLEM SOLVING; SIMULATED ANNEALING;

MACHINE-GROUPING PROBLEMS;

CELLULAR MANUFACTURING;

EID: 0037097730     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540210131851     Document Type: Article

References (38)

1. Assignment allocation and simulated annealing algorithm for cell formation
2. A Hamiltonian path approach to reordering part-machine matrix for cellular manufacturing
3. Machine-cell grouping in cellular manufacturing systems using non-traditional optimisation techniques - A comparative study
4. A within-cell utilization based heuristic for designing cellular manufacturing systems
5. The minimum-cost, machine-part cell formation problem
6. A close neighbour algorithm for designing cellular manufacturing systems
7. Numerical taxonomy applied to group technology and plant layout
8. Cell formation with alternative process plans and machine capacity constraints: A new combined approach
9. An ideal seed non-hierarchical clustering algorithm for cellular manufacturing
10. ZODIAK - An algorithm for concurrent formation of part-families and machine-cells
11. Groupability: An analysis of the properties of binary data matrices for group technology
12. A simulated annealing solution to the cell formation problem
13. Heuristics for integer programming using surrogate constraints
14. Tabu search: A tutorial
15. Is cellular manufacturing right for you?
16. Optimization by simulated annealing
17. Grouping efficacy: A quantitative criterion for goodness of block diagonal forms of binary matrices in group technology
18. Strategic subcontracting for efficient disaggregated manufacturing
19. Efficient solving of the group technology problem
20. Manufacturing cell formation in the presence of lot splitting and multiple units of the same machine
21. Multiple routeings and capacity considerations in group technology applications
22. Manufacturing system cell formation and evaluation using a new inter-cell reduction heuristic
23. A multi-constraint neural network for the pragmatic design of cellular manufacturing systems
24. A probabilistic approach to machine cell formation in group technology
25. Single linkage versus average linkage clustering in machine cells formation applications
26. Application of the similarity coefficient method in group technology
27. Machine clustering for economic production
28. Machine capacity planning in group technology
29. Cell formation in manufacturing systems through simulated annealing: An experimental evaluation
30. A capacity constrained multiobjective cell formation method
31. Machine cell/part family formation considering processing times and machine capacities: A simulated annealing approach
32. Jointly solving the group scheduling and machining speed selection problems: A hybrid tabu search and simulated annealing approach
33. A genetic algorithm for comprehensive machine cell/part family formation problems