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Service time window selection for attended home deliveries: a case study for urban and rural areas

Author

Listed:
  • Melanie Burian

    (Universität Wien)

  • Charlotte Köhler

    (European University Viadrina)

  • Ann Melissa Campbell

    (University of Iowa)

  • Jan Fabian Ehmke

    (Universität Wien)

Abstract

Attended home deliveries are one of the most challenging logistics services with different customer expectations and challenges in urban and rural areas. For different demand densities, retailers must strike a balance between providing excellent customer service and optimizing routing efficiency. While customers often expect delivery promises with narrow time windows, research has demonstrated that longer time windows can increase the flexibility and the ability to accept more customers. However, it is not clear how different demand densities impact flexibility and customer acceptance. To serve as many customers as possible with excellent service quality, this paper reviews and expands on ideas for offering short and long time windows in a flexible manner in urban and rural areas. This study proposes different methods for providing customers with time windows of different lengths and investigates their performance based on a case study in Vienna and Upper Austria.

Suggested Citation

  • Melanie Burian & Charlotte Köhler & Ann Melissa Campbell & Jan Fabian Ehmke, 2024. "Service time window selection for attended home deliveries: a case study for urban and rural areas," 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. 32(2), pages 267-294, June.
    • Handle: RePEc:spr:cejnor:v:32:y:2024:i:2:d:10.1007_s10100-023-00879-9
    DOI: 10.1007/s10100-023-00879-9
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    References listed on IDEAS

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    1. Chen, Xinwei & Wang, Tong & Thomas, Barrett W. & Ulmer, Marlin W., 2023. "Same-day delivery with fair customer service," European Journal of Operational Research, Elsevier, vol. 308(2), pages 738-751.
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    3. Niels Agatz & Yingjie Fan & Daan Stam, 2021. "The Impact of Green Labels on Time Slot Choice and Operational Sustainability," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2285-2303, July.
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    6. Waßmuth, Katrin & Köhler, Charlotte & Agatz, Niels & Fleischmann, Moritz, 2023. "Demand management for attended home delivery—A literature review," European Journal of Operational Research, Elsevier, vol. 311(3), pages 801-815.
    7. van der Hagen, L. & Agatz, N.A.H. & Spliet, R. & Visser, T.R. & Kok, A.L., 2022. "Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management," ERIM Report Series Research in Management ERS-2022-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    9. Strauss, Arne & Gülpınar, Nalan & Zheng, Yijun, 2021. "Dynamic pricing of flexible time slots for attended home delivery," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1022-1041.
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    1. Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Margaretha Gansterer & Peter M. Kort & Andrea Seidl, 2024. "Advances in applied optimal control and combinatorial optimization: special isssue in honor of Richard F. Hartl," 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. 32(2), pages 177-182, June.

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