【2h】

Shelf life modelling for first-expired-first-out warehouse management

机译:保质期建模用于先入先出的仓库管理

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摘要

In the supply chain of perishable food products, large losses are incurred between farm and fork. Given the limited land resources and an ever-growing population, the food supply chain is faced with the challenge of increasing its handling efficiency and minimizing post-harvest food losses. Huge value can be added by optimizing warehouse management systems, taking into account the estimated remaining shelf life of the product, and matching it to the requirements of the subsequent part of the handling chain. This contribution focuses on how model approaches estimating quality changes and remaining shelf life can be combined in optimizing first-expired-first-out cold chain management strategies for perishable products. To this end, shelf-life-related performance indicators are used to introduce remaining shelf life and product quality in the cost function when optimizing the supply chain. A combinatorial exhaustive-search algorithm is shown to be feasible as the complexity of the optimization problem is sufficiently low for the size and properties of a typical commercial cold chain. The estimated shelf life distances for a particular batch can thus be taken as a guide to optimize logistics.
机译:在易腐食品的供应链中,农场和叉子之间蒙受了巨大损失。鉴于土地资源有限和人口不断增长,食品供应链面临着提高其处理效率和最大限度地减少收获后食品损失的挑战。通过优化仓库管理系统,考虑估计的产品剩余货架期并使之与处理链后续部分的要求相匹配,可以增加巨大的价值。该贡献着重于模型方法如何估计质量变化和剩余货架期,可以结合使用以优化易腐产品的先过期先出冷链管理策略。为此,与货架寿命相关的性能指标用于在优化供应链时在成本函数中引入剩余的货架寿命和产品质量。组合穷举搜索算法被证明是可行的,因为优化问题的复杂性对于典型的商用冷链的大小和特性而言足够低。因此,可以将特定批次的估计货架寿命距离作为优化物流的指导。

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