A convex optimisation framework for the unequal-areas facility layout problem |
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Authors: | Ibolya Jankovits Chaomin Luo Miguel F. Anjos Anthony Vannelli |
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Affiliation: | a Department of Electrical & Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 b Department of Management Sciences, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 c School of Engineering, University of Guelph, Guelph, Ontario, Canada N1G 2W1 |
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Abstract: | The unequal-areas facility layout problem is concerned with finding the optimal arrangement of a given number of non-overlapping indivisible departments with unequal area requirements within a facility. We present a convex-optimisation-based framework for efficiently finding competitive solutions for this problem. The framework is based on the combination of two mathematical programming models. The first model is a convex relaxation of the layout problem that establishes the relative position of the departments within the facility, and the second model uses semidefinite optimisation to determine the final layout. Aspect ratio constraints, frequently used in facility layout methods to restrict the occurrence of overly long and narrow departments in the computed layouts, are taken into account by both models. We present computational results showing that the proposed framework consistently produces competitive, and often improved, layouts for well-known large instances when compared with other approaches in the literature. |
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Keywords: | Facility layout Semidefinite programming Convex programming Global optimisation |
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