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Evaluating two new heuristics for constructing customer clusters in a VRPTW with multiple service workers

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  • Gerald Senarclens de Grancy
  • Marc Reimann

Abstract

The vehicle routing problem with time windows and multiple service workers is a novel approach allowing to efficiently deliver goods to customers in congested cities with limited parking space. Two steps have to be performed in order to solve this problem. First, each customer has to be assigned to a cluster. Thereafter, delivery routes from a central depot to these clusters are constructed. Hence, in this context, a cluster is denoted by a common parking location and a group of customers that is compiled sensibly in terms of location and time windows. This paper discusses the requirements for creating customer clusters that allow efficient routes. It proposes a set of representative benchmark instances for the combined clustering and routing problem. Finally, two cluster construction heuristics are introduced and systematically compared using a deterministic route construction heuristic. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Gerald Senarclens de Grancy & Marc Reimann, 2015. "Evaluating two new heuristics for constructing customer clusters in a VRPTW with multiple service workers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 479-500, June.
    • Handle: RePEc:spr:cejnor:v:23:y:2015:i:2:p:479-500
    DOI: 10.1007/s10100-014-0373-4
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    1. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    2. Hashemi Doulabi, Seyed Hossein & Seifi, Abbas, 2013. "Lower and upper bounds for location-arc routing problems with vehicle capacity constraints," European Journal of Operational Research, Elsevier, vol. 224(1), pages 189-208.
    3. Patrícia Belfiore & Luiz Fávero, 2007. "Scatter search for the fleet size and mix vehicle routing problem with time windows," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 351-368, November.
    4. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    5. S Salhi & G Nagy, 1999. "A cluster insertion heuristic for single and multiple depot vehicle routing problems with backhauling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(10), pages 1034-1042, October.
    6. Homberger, Jorg & Gehring, Hermann, 2005. "A two-phase hybrid metaheuristic for the vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 162(1), pages 220-238, April.
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    Cited by:

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    2. Le Colleter, Théo & Dumez, Dorian & Lehuédé, Fabien & Péton, Olivier, 2023. "Small and large neighborhood search for the park-and-loop routing problem with parking selection," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1233-1248.
    3. C. Y. Lam, 2021. "Optimizing logistics routings in a network perspective of supply and demand nodes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 357-377, March.
    4. Chen-Yang Cheng & Kuo-Ching Ying & Chung-Cheng Lu & Chumpol Yuangyai & Wan-Chen Chiang, 2021. "An Auction Bidding Approach to Balance Performance Bonuses in Vehicle Routing Problems with Time Windows," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    5. Pedro Munari & Reinaldo Morabito, 2018. "A branch-price-and-cut algorithm for the vehicle routing problem with time windows and multiple deliverymen," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 437-464, October.
    6. Jonathan De La Vega & Pedro Munari & Reinaldo Morabito, 2019. "Robust optimization for the vehicle routing problem with multiple deliverymen," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 905-936, December.
    7. Jürgen Fleiß & Stefan Palan, 2015. "Collaborative decision systems in economics and in complex societal and environmental applications," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 279-282, June.

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