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Vehicle Routing at Quality Stores

Author

Listed:
  • Candace Arai Yano

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117)

  • Thomas J. Chan

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117)

  • Lori Kaplan Richter

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117)

  • Theodore Cutler

    (Quality Stores, Inc., 1460 Whitehall Road, North Muskegon, Michigan 49445)

  • Katta G. Murty

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117)

  • David McGettigan

    (Quality Stores, Inc., 1460 Whitehall Road, North Muskegon, Michigan 49445)

Abstract

Vehicle routing optimization software has been implemented on a personal computer for Quality Stores, a chain of retail stores. Customized route generation procedures are combined with an efficient branch-and-bound procedure to obtain optimal routings and assignment of routes to trucks. Both the data base maintenance routines and optimization runs are completely menu-driven, enabling personnel with no prior exposure to computers or optimization to operate the software unaided.

Suggested Citation

  • Candace Arai Yano & Thomas J. Chan & Lori Kaplan Richter & Theodore Cutler & Katta G. Murty & David McGettigan, 1987. "Vehicle Routing at Quality Stores," Interfaces, INFORMS, vol. 17(2), pages 52-63, April.
    • Handle: RePEc:inm:orinte:v:17:y:1987:i:2:p:52-63
    DOI: 10.1287/inte.17.2.52
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    Citations

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    Cited by:

    1. Christos D. Tarantilis & Afroditi K. Anagnostopoulou & Panagiotis P. Repoussis, 2013. "Adaptive Path Relinking for Vehicle Routing and Scheduling Problems with Product Returns," Transportation Science, INFORMS, vol. 47(3), pages 356-379, August.
    2. Dominguez, Oscar & Guimarans, Daniel & Juan, Angel A. & de la Nuez, Ignacio, 2016. "A Biased-Randomised Large Neighbourhood Search for the two-dimensional Vehicle Routing Problem with Backhauls," European Journal of Operational Research, Elsevier, vol. 255(2), pages 442-462.
    3. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-31, July.
    4. Maria João Santos & Pedro Amorim & Alexandra Marques & Ana Carvalho & Ana Póvoa, 2020. "The vehicle routing problem with backhauls towards a sustainability perspective: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 358-401, July.
    5. Kenneth Stoop & Mario Pickavet & Didier Colle & Pieter Audenaert, 2024. "Selective Backhauls in Truck Transport with Risk Mitigation: Large Belgian Retailer Case Study," Networks and Spatial Economics, Springer, vol. 24(1), pages 99-130, March.
    6. Gajpal, Yuvraj & Abad, P.L., 2009. "Multi-ant colony system (MACS) for a vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 196(1), pages 102-117, July.
    7. Nagy, Gabor & Salhi, Said, 2005. "Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 162(1), pages 126-141, April.
    8. Toth, Paolo & Vigo, Daniele, 1999. "A heuristic algorithm for the symmetric and asymmetric vehicle routing problems with backhauls," European Journal of Operational Research, Elsevier, vol. 113(3), pages 528-543, March.
    9. Ganesh, K. & Narendran, T.T., 2007. "CLOVES: A cluster-and-search heuristic to solve the vehicle routing problem with delivery and pick-up," European Journal of Operational Research, Elsevier, vol. 178(3), pages 699-717, May.
    10. Palhazi Cuervo, Daniel & Goos, Peter & Sörensen, Kenneth & Arráiz, Emely, 2014. "An iterated local search algorithm for the vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 237(2), pages 454-464.
    11. Marques, Alexandra & Soares, Ricardo & Santos, Maria João & Amorim, Pedro, 2020. "Integrated planning of inbound and outbound logistics with a Rich Vehicle Routing Problem with backhauls," Omega, Elsevier, vol. 92(C).
    12. N Wassan, 2007. "Reactive tabu adaptive memory programming search for the vehicle routing problem with backhauls," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1630-1641, December.
    13. Queiroga, Eduardo & Frota, Yuri & Sadykov, Ruslan & Subramanian, Anand & Uchoa, Eduardo & Vidal, Thibaut, 2020. "On the exact solution of vehicle routing problems with backhauls," European Journal of Operational Research, Elsevier, vol. 287(1), pages 76-89.
    14. J-F Chen & T-H Wu, 2006. "Vehicle routing problem with simultaneous deliveries and pickups," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 579-587, May.
    15. Liu, Ran & Xie, Xiaolan & Augusto, Vincent & Rodriguez, Carlos, 2013. "Heuristic algorithms for a vehicle routing problem with simultaneous delivery and pickup and time windows in home health care," European Journal of Operational Research, Elsevier, vol. 230(3), pages 475-486.
    16. Santos, Maria João & Curcio, Eduardo & Mulati, Mauro Henrique & Amorim, Pedro & Miyazawa, Flávio Keidi, 2020. "A robust optimization approach for the vehicle routing problem with selective backhauls," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

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