Abstract
Traditionally, plant layout is viewed as a single-objective optimization problem, oftentimes minimizing total transport distance of in-process materials. This is no longer valid if we were to remain efficient in the contemporary competitive environment. Three objectives which are important in setting up the layout of a plant are material handling cost, physical closeness of machines and other facilities, and production routing flexibility especially in a Flexible Manufacturing Systems Environment. The three-objective nonlinear programming model is solved using Genetic Algorithms.
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Phong, H.T., Tabucanon, M.T. (1998). Viewing a Plant Layout Problem as a Multiobjective Case to Enhance Manufacturing Flexibility. In: Stewart, T.J., van den Honert, R.C. (eds) Trends in Multicriteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45772-2_30
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DOI: https://doi.org/10.1007/978-3-642-45772-2_30
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