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Applying Multi-start Simulated Annealing to Schedule a Flowline Manufacturing Cell with Sequence Dependent Family Setup Times by Shih-Wei Lin; Kuo-Ching Ying; Chung-Cheng Lu; Jatinder N.D. Gupta is a Business, Management and Accounting article available to read on EtoBox.

What is Applying Multi-start Simulated Annealing to Schedule a Flowline Manufacturing Cell with Sequence Dependent Family Setup Times about?

Meta-heuristics that attempt to obtain (near) global optimal solutions of NP-hard combinatorial optimization problems generally require diversification to escape from local optimality. One way to achieve diversification is to utilize the multi-start hill climbing strategy. By combining the respective advantages of the multi-start hill climbing strategy and simulated annealing (SA), an effective multistart simulated annealing (MSA) heuristic is proposed to minimize the makespan for a flowline manufacturing cell scheduling problem with sequence dependent family setup times. The heuristic performance is evaluated by comparing the results achieved by the proposed heuristic with those achieved by the existing meta-heuristics. The computational results show that following multi-start refinement the proposed MSA heuristic is more effective compared to the state-of the-art metaheuristics on the same benchmark instances.

Who reads Applying Multi-start Simulated Annealing to Schedule a Flowline Manufacturing Cell with Sequence Dependent Family Setup Times?

Author

Shih-Wei Lin; Kuo-Ching Ying; Chung-Cheng Lu; Jatinder N.D. Gupta

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0925-5273)

Published

2011

Language

EN

Field

Business, Management and Accounting (Social Sciences)