Centralized and Decentralized Warehouse Logistics Collaboration, Extended Version

Shiman Ding, Philip M. Kaminsky
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引用次数: 3

Abstract

We bound the value of collaboration in a decentralized multi-supplier multi-retailer setting, where several suppliers ship to several retailers through a shared warehouse, and outbound trucks from the warehouse contain the products of multiple suppliers. Academic/Practical relevance: In an emerging trend in the grocery industry, multiple suppliers and retailers share a warehouse to facilitate horizontal collaboration, in order to lower transportation costs and increase delivery frequencies. Thus far, these so-called Mixing and Consolidation Centers are operated in a decentralized manner, with little effort to coordinate shipments from multiple suppliers with shipments to multiple retailers. Facilitating collaboration in this setting would be challenging (both technically, and in terms of the level of trust that would be necessary), so it is useful to understand the potential gains of collaboration. Methodology: We extend the classic one warehouse multi-retailer analysis of Roundy (1985) to incorporate multiple suppliers and per truck outbound transportation cost from the warehouse, and develop a cost lower bound on centralized operation as benchmark. We then analyze decentralized versions of the system, in which each retailer and each supplier maximizes his or her own utility in a variety of settings, and we analytically bound the ratio of the cost of decentralized to centralized operation, to bound the loss due to decentralization. Results: We find analytical bounds on the performance of several decentralized policies. The best, a decentralized zero-inventory ordering policy, has a cost ratio when compared to a lower bound on the centralized policy of no more than 3⁄2 . In computational studies, we find that cost of decentralized policies are even closer to those of centralized policies. Managerial implications: Easy-to-implement decentralized policies are efficient and effective in this setting, suggesting that centralization (and thus, a potentially complex and expensive coordination effort) is unlikely to result in significant benefits.
集中和分散的仓库物流协作,扩展版
我们将协作的价值绑定在分散的多供应商多零售商设置中,其中几个供应商通过共享仓库向几个零售商发货,并且仓库的出站卡车包含多个供应商的产品。学术/实践相关性:在食品杂货行业的一个新兴趋势中,多个供应商和零售商共享一个仓库,以促进横向合作,以降低运输成本和增加送货频率。到目前为止,这些所谓的混合和整合中心以分散的方式运作,很少努力协调来自多个供应商和多个零售商的发货。在这种情况下促进协作将是具有挑战性的(无论是在技术上,还是在必要的信任级别方面),因此了解协作的潜在收益是有用的。方法:我们扩展了Roundy(1985)的经典单仓库多零售商分析,将多个供应商和每辆卡车从仓库出库的运输成本纳入其中,并建立了集中运营的成本下限作为基准。然后,我们分析了该系统的去中心化版本,其中每个零售商和每个供应商在各种设置中最大化了自己的效用,我们分析了去中心化运营成本与中心化运营成本的比率,以限制去中心化运营造成的损失。结果:我们发现了几个分散政策的性能的分析界限。与集中式策略的下界相比,最佳的分散式零库存排序策略的成本比不超过3 / 2。在计算研究中,我们发现去中心化策略的成本更接近中心化策略的成本。管理含义:易于实现的分散政策在这种情况下是高效和有效的,这表明集中化(因此,可能是复杂和昂贵的协调工作)不太可能产生显著的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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