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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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