最小化食品杂货店运营中的食物浪费:文献回顾和研究议程

Lena Riesenegger , Maria João Santos , Manuel Ostermeier , Sara Martins , Pedro Amorim , Alexander Hübner
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引用次数: 0

摘要

最近,对食品零售中食品杂货浪费的研究引起了人们的特别兴趣。从零售商的角度来看,这一领域的调查与解决浪费资源和道德问题以及经济方面的问题有关。零售业食物浪费的原因已经得到了很好的实证研究,并在此基础上讨论了减少食物浪费的建议。然而,使用分析和建模方法防止商店运营中食物浪费的综合方法很少。目前还没有任何工作将这一领域的相关研究系统化。因此,既没有任何最新的文献综述,也没有任何未来研究的议程。我们对零售店运营中预防食物浪费的分析和建模方法进行了首次结构化文献综述。这项工作确定了减少食物浪费的跨领域商店相关规划领域,即(1)分类和货架空间规划,(2)补货政策,以及(3)动态定价政策。我们介绍了一种常见的文献分类方案,涉及食物垃圾整合的深度和这些规划问题的特点。这为我们审查分析和建模方法奠定了基础。目前的文献主要将食物浪费视为成本计算中的一种副作用,并经常忽视客户对产品年龄相关的需求。此外,各规划领域的方法也不统一。未来的研究方向指向了该领域最有前景的开放性问题。
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Minimizing food waste in grocery store operations: Literature review and research agenda

Research on grocery waste in food retailing has recently attracted particular interest. Investigations in this area are relevant to address the problems of wasted resources and ethical concerns, as well as economic aspects from the retailer’s perspective. Reasons for food waste in retail are already well-studied empirically, and based on this, proposals for reduction are discussed. However, comprehensive approaches for preventing food waste in store operations using analytics and modeling methods are scarce. No work has yet systematized related research in this domain. As a result, there is neither any up-to-date literature review nor any agenda for future research. We contribute with the first structured literature review of analytics and modeling methods dealing with food waste prevention in retail store operations. This work identifies cross-cutting store-related planning areas to mitigate food waste, namely (1) assortment and shelf space planning, (2) replenishment policies, and (3) dynamic pricing policies. We introduce a common classification scheme of literature with regard to the depth of food waste integration and the characteristics of these planning problems. This builds our foundation to review analytics and modeling approaches. Current literature considers food waste mainly as a side effect in costing and often ignores product age dependent demand by customers. Furthermore, approaches are not integrated across planning areas. Future lines of research point to the most promising open questions in this field.

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