A new hybrid improvement heuristic approach to simple straight and U-type assembly line balancing problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-008-0108-2.pdf
Reference62 articles.
1. Aase G.R., Schniederjans M.J. and Olson J.R. (2003). U-OPT: An analysis of exact U-shaped line balancing procedures. International Journal of Production Research 41: 4185–4210
2. Agarwal A., Colak S. and Eryarsoy E. (2006). Improvement heuristic for the flow-shop scheduling problem: An adaptive-learning approach. European Journal of Operational Research 169: 801–815
3. Aigbedo H. and Monden Y. (1997). A parametric procedure for multi-criterion sequence scheduling for just-in-time mixed-model assembly lines. International Journal of Production Research 35: 2543–2564
4. Ajenblit, D. A., & Wainwright, R. L. (1998). Applying genetic algorithms to the U-shaped assembly line balancing problem. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, pp. 96–101.
5. Bartholdi J.J. (1993). Balancing two-sided assembly lines: A case study. International Journal of Production Research 31: 2447–2461
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