Heuristics for a continuous multi-facility location problem with demand regions

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2013

Author

Dinler, Derya

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We consider a continuous multi-facility location problem where the demanding entities are regions in the plane instead of points. Each region may consist of a finite or an infinite number of points. The service point of a station can be anywhere in the region that is assigned to it. We do not allow fractional assignments, that is, each region is assigned to exactly one facility. The problem we consider can be stated as follows: given m demand regions in the plane, find the locations of q facilities and allocate regions to the facilities so as to minimize the sum of squares of the maximum Euclidean distances of the demand regions to the facility locations they are assigned to. We assume that the regions are closed polygons as any region can be approximated within any desired accuracy with a polygon. We first propose mathematical programming formulations of single and multiple facility location problems. The single facility location problem is formulated as a second order cone program (SOCP) which can be solved in polynomial time. The multiple facility location problem is formulated as a mixed integer SOCP. This formulation is weak and does not even solve medium-size problems. We therefore propose heuristics to solve larger instances of the problem. We develop three heuristics that work when the regions are polygons. When the demand regions are rectangles with sides parallel to coordinate axes, a special heuristic is developed. We compare our heuristics in terms of both solution quality and computational time.

Subject Keywords

Business logistics, Heuristic algorithms, Operations research

URI

http://etd.lib.metu.edu.tr/upload/12616644/index.pdf
https://hdl.handle.net/11511/22993

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

D. Dinler, “Heuristics for a continuous multi-facility location problem with demand regions,” M.S. - Master of Science, Middle East Technical University, 2013.