On the benefits of co-collection: experiments with a multi compartment vehicle routing algorithm

Luc Muyldermans, Gu Pang

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)

Abstract

The Multi-Compartment Vehicle Routing Problem involves clients with a demand for different products and vehicles with several compartments to co-transport these commodities. We present a local search procedure that explores well-known moves (2-opt, cross, exchange, relocate), and exploits the mechanisms of neighbour lists and marking to speed up the searches. We combine the procedure with the Guided Local Search meta-heuristic to improve solution quality. Extensive computational results are reported to uncover when co-distribution by vehicles with multiple compartments is better than separate distribution with un-partitioned trucks. Sensitivities in key problem parameters including, client density and location of the depot, vehicle capacity, client demand and number of commodities are investigated.
Original languageEnglish
Pages (from-to)93-103
JournalEuropean Journal of Operational Research
Volume206
Issue number1
DOIs
Publication statusPublished - Oct 2010

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