1997
DOI: 10.1016/s0377-2217(96)00253-6
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A multi-level composite heuristic for the multi-depot vehicle fleet mix problem

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Cited by 166 publications
(107 citation statements)
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“…An exchange of customers based only on those that lie on the boundary of two nearest facilities is then examined for possible reallocation (allocate a customer to its second nearest facility) and the saving due to these two affected facilities is evaluated to see whether or not the swap is worthwhile. The examination of boundary customers is a powerful and efficient allocation scheme as also shown in Salhi and Sari [41] when studying a class of multi-depot vehicle routing problems.…”
Section: Application To the Multi-source Weber Problemmentioning
confidence: 93%
“…An exchange of customers based only on those that lie on the boundary of two nearest facilities is then examined for possible reallocation (allocate a customer to its second nearest facility) and the saving due to these two affected facilities is evaluated to see whether or not the swap is worthwhile. The examination of boundary customers is a powerful and efficient allocation scheme as also shown in Salhi and Sari [41] when studying a class of multi-depot vehicle routing problems.…”
Section: Application To the Multi-source Weber Problemmentioning
confidence: 93%
“…Desrochers and Verhoog (1991) explore the fleet size and mixed vehicle routing problem for a road transportation system with a central depot. Salhi and Sari (1997) study the vehicle routing and the fleet composition problems simultaneously for a multi-depot and multi-customer system under deterministic assumptions and propose an efficient heuristic. Koo et al (2004) propose a fleet management procedure in a static container transportation system.…”
Section: Deterministic and Stochastic Fleet Sizing Problem Integratedmentioning
confidence: 99%
“…The problem is to determine which customers to be served by the different depots in addition to find the optimal composition of the fleet and the best possible routes for the vehicles. Salhi and Sari [128] address the FSMVRP with multiple depots (FSMVRPMD) by simultaneously allocating customers to depots, composing the vehicle fleet and constructing delivery routes. The authors propose a multi-level composite heuristic and design two reduction tests to enhance its efficiency.…”
Section: Fleet Composition and Routing Problems With Multiple Depotsmentioning
confidence: 99%