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Deterioration rate variation risk for sustainable cross-docking service operations
International Journal of Production Economics ( IF 12.0 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.ijpe.2020.107932
Fei Pan , Wei Zhou , Tijun Fan , Shuxia Li , Chong Zhang

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.

中文翻译:

可持续越库服务运营的恶化率变化风险

摘要 现代服务平台的特点是从不同的供应商处收集并重新分配给许多购买者的异质产品。根据食品科学/工程文献的最新发现,我们确定了在可持续越库服务背景下变质率变化风险的新现象。易腐烂产品的变质率可能会因通常在越库服务平台上发现的不稳定的物流环境而有所不同。物联网和传感器系统收集产品的变质和现场环境信息。建立了一个混合整数规划模型来对交叉对接平台上的易腐产品卡车调度问题进行建模。基于定制的遗传算法,对4个场景和20个实例进行数值分析。
更新日期:2021-02-01
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