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Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveries

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  • Fikar, Christian
  • Mild, Andreas
  • Waitz, Martin

Abstract

To assist setting up e-grocery operations, this work presents a decision support system integrating product shelf life data and consumer preferences. Based on a conjoint analysis of 432 urban consumers, an agent-based simulation is developed to model preferences, demand patterns and logistics processes. The focus is set on fresh fruits and vegetables and the impact of food quality on customer satisfaction and logistics performance. Computational experiments based on the urban distribution of strawberries investigate the impact of varying service offers throughout multiple weeks of operations. Results highlight potentials of integrating preference and shelf life data as well as the importance of closely considering interactions between service offers and logistics performance within e-grocery operations.

Suggested Citation

  • Fikar, Christian & Mild, Andreas & Waitz, Martin, 2021. "Facilitating consumer preferences and product shelf life data in the design of e-grocery deliveries," European Journal of Operational Research, Elsevier, vol. 294(3), pages 976-986.
    • Handle: RePEc:eee:ejores:v:294:y:2021:i:3:p:976-986
    DOI: 10.1016/j.ejor.2019.09.039
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    1. Cordeau, Jean-François & Laporte, Gilbert, 2003. "A tabu search heuristic for the static multi-vehicle dial-a-ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 579-594, July.
    2. Yanik, Seda & Bozkaya, Burcin & deKervenoael, Ronan, 2014. "A new VRPPD model and a hybrid heuristic solution approach for e-tailing," European Journal of Operational Research, Elsevier, vol. 236(3), pages 879-890.
    3. Jaw, Jang-Jei & Odoni, Amedeo R. & Psaraftis, Harilaos N. & Wilson, Nigel H. M., 1986. "A heuristic algorithm for the multi-vehicle advance request dial-a-ride problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 20(3), pages 243-257, June.
    4. Tijskens, L. M. M. & Polderdijk, J. J., 1996. "A generic model for keeping quality of vegetable produce during storage and distribution," Agricultural Systems, Elsevier, vol. 51(4), pages 431-452, August.
    5. Goethals, Frank & Leclercq-Vandelannoitte, Aurélie & Tütüncü, Yazgi, 2012. "French consumers' perceptions of the unattended delivery model for e-grocery retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 133-139.
    6. Elena Belavina & Karan Girotra & Ashish Kabra, 2017. "Online Grocery Retail: Revenue Models and Environmental Impact," Management Science, INFORMS, vol. 63(6), pages 1781-1799, June.
    7. Ketzenberg, Michael & Gaukler, Gary & Salin, Victoria, 2018. "Expiration dates and order quantities for perishables," European Journal of Operational Research, Elsevier, vol. 266(2), pages 569-584.
    8. Agatz, Niels A.H. & Fleischmann, Moritz & van Nunen, Jo A.E.E., 2008. "E-fulfillment and multi-channel distribution - A review," European Journal of Operational Research, Elsevier, vol. 187(2), pages 339-356, June.
    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. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    11. Torabi, S.A. & Hassini, E. & Jeihoonian, M., 2015. "Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 128-144.
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    Cited by:

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    2. Marcucci, Edoardo & Gatta, Valerio & de Oliveira Leite Nascimento, Carla & Aziz, Soukaina & Ayagah, Prince & Montero, Tania, 2024. "The environmental impact of buying groceries online/offline pre and during COVID-19. Any changes?," Transport Policy, Elsevier, vol. 149(C), pages 222-233.
    3. Prencipe, Luigi Pio & Colovic, Aleksandra & Binetti, Mario & Ottomanelli, Michele, 2024. "Zero-emission vehicle adoption towards sustainable e-grocery last-mile delivery," Research in Transportation Economics, Elsevier, vol. 104(C).
    4. Calzavara, Martina & Finco, Serena & Persona, Alessandro & Zennaro, Ilenia, 2023. "A cost-based tool for the comparison of different e-grocery supply chain strategies," International Journal of Production Economics, Elsevier, vol. 262(C).
    5. Alexandra Birkmaier & Adhurim Imeri & Gerald Reiner, 2024. "Improving supply chain planning for perishable food: data-driven implications for waste prevention," Journal of Business Economics, Springer, vol. 94(6), pages 1-36, August.

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