An adaptive simulated annealing method for assembly line balancing and a case study

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Date

2006

Author

Güden, Hüseyin

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Assembly line balancing problem is one of the most studied NP-Hard problems. NP-Hardness leads us to search for a good solution instead of the optimal solution especially for the big-size problems. Meta-heuristic algorithms are the search methods which are developed to find good solutions to the big-size and combinatorial problems. In this study, it is aimed at solving the multi-objective multi-model assembly line balancing problem of a company. A meta-heuristic algorithm is developed to solve the deterministic assembly line balancing problems. The algorithm developed is tested using the test problems in the literature and the the real life problem of the company as well. The results are analyzed and found to be promising and a solution is proposed for the firm.

Subject Keywords

Systems Engineering.

URI

http://etd.lib.metu.edu.tr/upload/12607478/index.pdf
https://hdl.handle.net/11511/16420

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

H. Güden, “An adaptive simulated annealing method for assembly line balancing and a case study,” M.S. - Master of Science, Middle East Technical University, 2006.