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Research perspectives in vehicle routing and scheduling
Affiliation:1. mORetime research group, Management Science, Department of Management Engineering, Technical University of Denmark, Produktionstorvet, Building 426B, 2800 Kgs. Lyngby, Denmark;2. MaCom A/S, Vesterbrogade 48, 1., København V 1620, Denmark;1. Department of Mathematics and Computer Science, University of Groningen, The Netherlands;2. Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece;3. Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand
Abstract:The problem of vehicle routing and scheduling has been a popular research subject, yet much of the research has focused on developing methods that are accurate and computationally efficient but that are generally of limited scope. This article classifies these methodologies and appraises each class. Perhaps more important, the article identifies those restrictions and extensions that should be incorporated into a generalized vehicle routing and scheduling methodology and, therefore, points the direction for future research.
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