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Deterioration rate variation risk for sustainable cross-docking service operations

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  • Pan, Fei
  • Zhou, Wei
  • Fan, Tijun
  • Li, Shuxia
  • Zhang, Chong

Abstract

Modern service platforms are characterized by heterogenous products collected and re-distributed from different suppliers to many buyers. Based on the recent findings from the food science/engineering literature, we identify a new phenomenon of deterioration rate variation risk in the context of sustainable cross-docking service. A perishable product’s deterioration rate may vary due to the unstable logistic environment that is typically found on the cross-docking service platform. Products’ deterioration and on-site environmental information is collected by the IoT and sensor system. A mixed-integer programming model is formulated to model the perishable product truck scheduling problem on the cross-docking platform. Based on a customized genetic algorithm, the numerical analyses are conducted on 4 scenarios and 20 instances. Results show significant benefits of incorporating the deterioration rate variation risk analysis on a multi-supplier multi-buyer multi-product cross docking service platform.

Suggested Citation

  • Pan, Fei & Zhou, Wei & Fan, Tijun & Li, Shuxia & Zhang, Chong, 2021. "Deterioration rate variation risk for sustainable cross-docking service operations," International Journal of Production Economics, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:proeco:v:232:y:2021:i:c:s0925527320302863
    DOI: 10.1016/j.ijpe.2020.107932
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    References listed on IDEAS

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    1. Chen, Feng & Lee, Chung-Yee, 2009. "Minimizing the makespan in a two-machine cross-docking flow shop problem," European Journal of Operational Research, Elsevier, vol. 193(1), pages 59-72, February.
    2. Boysen, Nils & Fliedner, Malte, 2010. "Cross dock scheduling: Classification, literature review and research agenda," Omega, Elsevier, vol. 38(6), pages 413-422, December.
    3. Peter Bodnar & René de Koster & Kaveh Azadeh, 2017. "Scheduling Trucks in a Cross-Dock with Mixed Service Mode Dock Doors," Transportation Science, INFORMS, vol. 51(1), pages 112-131, February.
    4. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    5. Shi-hua Li & Meng Zhu, 2013. "Research on the Differential Outsourcing Risks for Fresh Cold-Chain Logistics," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 827-840, Springer.
    6. de Keizer, Marlies & Akkerman, Renzo & Grunow, Martin & Bloemhof, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2017. "Logistics network design for perishable products with heterogeneous quality decay," European Journal of Operational Research, Elsevier, vol. 262(2), pages 535-549.
    7. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    8. Fan, Ti-Jun & Chang, Xiang-Yun & Gu, Chun-Hua & Yi, Jian-Jun & Deng, Sheng, 2014. "Benefits of RFID technology for reducing inventory shrinkage," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 659-665.
    9. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
    10. G A Álvarez-Pérez & J L González-Velarde & J W Fowler, 2009. "Crossdocking— Just in Time scheduling: an alternative solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 554-564, April.
    11. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    12. Serrano, Christian & Delorme, Xavier & Dolgui, Alexandre, 2017. "Scheduling of truck arrivals, truck departures and shop-floor operation in a cross-dock platform, based on trucks loading plans," International Journal of Production Economics, Elsevier, vol. 194(C), pages 102-112.
    13. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    14. Qin, Yiyan & Wang, Jianjun & Wei, Caimin, 2014. "Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously," International Journal of Production Economics, Elsevier, vol. 152(C), pages 42-48.
    15. Nima Zaerpour & Yugang Yu & René B.M. Koster, 2015. "Storing Fresh Produce for Fast Retrieval in an Automated Compact Cross-Dock System," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1266-1284, August.
    16. Piramuthu, Selwyn, 2005. "Knowledge-based framework for automated dynamic supply chain configuration," European Journal of Operational Research, Elsevier, vol. 165(1), pages 219-230, August.
    17. Praveen K. Kopalle & Ambar G. Rao & João L. Assunção, 1996. "Asymmetric Reference Price Effects and Dynamic Pricing Policies," Marketing Science, INFORMS, vol. 15(1), pages 60-85.
    18. Ladier, Anne-Laure & Alpan, Gülgün, 2016. "Cross-docking operations: Current research versus industry practice," Omega, Elsevier, vol. 62(C), pages 145-162.
    19. Anne-Laure Ladier & Gülgün Alpan, 2018. "Crossdock truck scheduling with time windows: earliness, tardiness and storage policies," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 569-583, March.
    20. Chan, Chi Kin & Wong, Wai Him & Langevin, A. & Lee, Y.C.E., 2017. "An integrated production-inventory model for deteriorating items with consideration of optimal production rate and deterioration during delivery," International Journal of Production Economics, Elsevier, vol. 189(C), pages 1-13.
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