New assignment algorithms for the multi-depot vehicle routing problem

I D Giosa, I L Tansini and I O Viera ()
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I D Giosa: Universidad de la República Oriental del Uruguay
I L Tansini: Universidad de la República Oriental del Uruguay
I O Viera: Universidad de la República Oriental del Uruguay

Journal of the Operational Research Society, 2002, vol. 53, issue 9, 977-984

Abstract: Abstract This paper considers the design and analysis of algorithms for the multi-depot vehicle routing problem with time windows (MDVRPTW). Given the intrinsic difficulty of this problem class, approximation methods of the type ‘cluster first, route second’ (two-step approaches) seem to offer the most promise for practical size problems. After describing six heuristics for the cluster part (assignment of customers to depots) an initial computational study of their performance is conducted. Finding, as expected, that the heuristics with the best results (in terms of the routing results) are those with the largest computational efforts.

Keywords: multi-depot vehicle routing problem; clustering; assignment (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (8)

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DOI: 10.1057/palgrave.jors.2601426

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