Heuristic algorithms for a multi-period multi-stop transportation planning problem

Kim J-U, Kim Y-D () and Shim S-O
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Kim J-U: Entrue Consulting Partners, LG CNS Co. Ltd., Jung-gu
Kim Y-D: Korea Advanced Institute of Science and Technology, Yusong-gu
Shim S-O: Korea Advanced Institute of Science and Technology, Yusong-gu

Journal of the Operational Research Society, 2002, vol. 53, issue 9, 1027-1037

Abstract: Abstract We consider a multi-period multi-stop transportation planning problem (MPMSTP) in a one-warehouse multi-retailer distribution system where a fleet of homogeneous vehicles delivers products from a warehouse to retailers. The objective of the MPMSTP is to minimize the total transportation distance for product delivery over the planning horizon while satisfying demands of the retailers. We suggest two heuristic algorithms based on the column generation method and the simulated annealing algorithm. Computational experiments on randomly generated test problems showed that the suggested algorithms gave better solutions than an algorithm currently used in practice and algorithms modified from existing algorithms for vehicle routing problems.

Keywords: logistics; distribution planning; vehicle routing; column generation; simulated annealing (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1057/palgrave.jors.2601386

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