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Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery

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  • María I. Restrepo

    (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation, Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, Quebec H3T 1J4, Canada; Inria Lille, 59650 Villeneuve d’Ascq, France)

  • Frédéric Semet

    (Centre de Recherche en Informatique, Signal et Automatique de Lille, Unité Mixte de Recherche 9189, École Centrale de Lille, Université Lille Nord de France, F-59000 Lille, France;)

  • Thomas Pocreau

    (Colisweb, 59000 Lille, France)

Abstract

In this article, we study an integrated shift scheduling and load assignment optimization problem for attended home delivery. The proposed approach is divided into two phases, each one corresponding to a different planning level: tactical and operational. In the tactical planning, a daily master plan is generated for each courier. This master plan defines the working shifts, the origin–destination pairs to visit, and the number of client requests to serve. In the operational planning, delivery orders are allocated to couriers in real time. The stochastic and dynamic nature of client orders is included in the tactical and operational decision levels, respectively. Experimental results demonstrate that our approach provides robust tactical solutions that easily accommodate fluctuations in client orders, preventing additional costs related to the underutilization of couriers and to the use of external couriers to satisfy all delivery requests, when compared with an approach using the mean demand value. Moreover, these results also indicate that the failure to incorporate robust tactical solutions in the operational planning results in infeasible operational plans that are inadmissible regarding the couriers’ working time (e.g., minimum and maximum numbers of working hours) and work regulations (e.g., allocation of consecutive working hours to the couriers).

Suggested Citation

  • María I. Restrepo & Frédéric Semet & Thomas Pocreau, 2019. "Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery," Transportation Science, INFORMS, vol. 53(4), pages 1150-1174, July.
  • Handle: RePEc:inm:ortrsc:v:53:y:2019:i:4:p:1150-1174
    DOI: 10.1287/trsc.2018.0857
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    References listed on IDEAS

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    1. Ilgaz Sungur & Yingtao Ren & Fernando Ordóñez & Maged Dessouky & Hongsheng Zhong, 2010. "A Model and Algorithm for the Courier Delivery Problem with Uncertainty," Transportation Science, INFORMS, vol. 44(2), pages 193-205, May.
    2. Yan, Shangyao & Lin, Jenn-Rong & Lai, Chun-Wei, 2013. "The planning and real-time adjustment of courier routing and scheduling under stochastic travel times and demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 34-48.
    3. Xinan Yang & Arne K. Strauss & Christine S. M. Currie & Richard Eglese, 2016. "Choice-Based Demand Management and Vehicle Routing in E-Fulfillment," Transportation Science, INFORMS, vol. 50(2), pages 473-488, May.
    4. Ann Melissa Campbell & Martin Savelsbergh, 2006. "Incentive Schemes for Attended Home Delivery Services," Transportation Science, INFORMS, vol. 40(3), pages 327-341, August.
    5. Ehmke, Jan Fabian & Campbell, Ann Melissa, 2014. "Customer acceptance mechanisms for home deliveries in metropolitan areas," European Journal of Operational Research, Elsevier, vol. 233(1), pages 193-207.
    6. Robert Klein & Michael Neugebauer & Dimitri Ratkovitch & Claudius Steinhardt, 2019. "Differentiated Time Slot Pricing Under Routing Considerations in Attended Home Delivery," Service Science, INFORMS, vol. 53(1), pages 236-255, February.
    7. A Larsen & O Madsen & M Solomon, 2002. "Partially dynamic vehicle routing—models and algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(6), pages 637-646, June.
    8. Bruck, Bruno P. & Cordeau, Jean-François & Iori, Manuel, 2018. "A practical time slot management and routing problem for attended home services," Omega, Elsevier, vol. 81(C), pages 208-219.
    9. Niels Agatz & Ann Campbell & Moritz Fleischmann & Martin Savelsbergh, 2011. "Time Slot Management in Attended Home Delivery," Transportation Science, INFORMS, vol. 45(3), pages 435-449, August.
    10. Dale McDaniel & Mike Devine, 1977. "A Modified Benders' Partitioning Algorithm for Mixed Integer Programming," Management Science, INFORMS, vol. 24(3), pages 312-319, November.
    11. Birge, John R. & Louveaux, Francois V., 1988. "A multicut algorithm for two-stage stochastic linear programs," European Journal of Operational Research, Elsevier, vol. 34(3), pages 384-392, March.
    12. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    13. Ulrike Ritzinger & Jakob Puchinger & Richard F. Hartl, 2016. "A survey on dynamic and stochastic vehicle routing problems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 215-231, January.
    14. Mitrovic-Minic, Snezana & Krishnamurti, Ramesh & Laporte, Gilbert, 2004. "Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 669-685, September.
    15. Gianpaolo Ghiani & Emanuele Manni & Antonella Quaranta, 2010. "Shift Scheduling Problem in Same-Day Courier Industry," Transportation Science, INFORMS, vol. 44(1), pages 116-124, February.
    16. Chang, Tsung-Sheng & Yen, Hui-Mei, 2012. "City-courier routing and scheduling problems," European Journal of Operational Research, Elsevier, vol. 223(2), pages 489-498.
    17. Russell W. Bent & Pascal Van Hentenryck, 2004. "Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers," Operations Research, INFORMS, vol. 52(6), pages 977-987, December.
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    4. Lang, Magdalena A.K. & Cleophas, Catherine & Ehmke, Jan Fabian, 2021. "Multi-criteria decision making in dynamic slotting for attended home deliveries," Omega, Elsevier, vol. 102(C).

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