Evaluating on-demand warehousing via dynamic facility location models
Evaluating on-demand warehousing via dynamic facility location models
复制标题
通过动态设施位置模型评估按需仓储
DOI：
10.1080/24725854.2021.2008066
复制
发表时间：
2022
影响因子：
2.6
通讯作者：
Pazour, Jennifer
中科院分区：
文献类型：
--
作者：
Unnu, Kaan;Pazour, Jennifer
按需仓储平台将未充分利用仓库和配送能力的公司与需要额外空间或配送服务的客户相匹配。这些新的商业模式在降低容量和承诺粒度方面具有独特的优势，但与获得分销能力的传统方式相比，也具有不同的成本结构。这项研究是第一个定量分析，考虑到按需仓储的出现分销网络战略。我们的多周期设施选址模型-一个混合整数线性规划-同时确定三种配送中心类型（自配送，第三方物流/租赁，按需）的位置分配决策。一个模拟模型可操作地评估各种不确定性可能发生时计划的分配策略的影响。一家公司接收国际生产的产品以满足一系列区域客户需求的计算实验表明，按需仓储的力量在于创建混合网络设计，通过提高产能利用率，更有效地使用自我配送设施。然而，按需仓储的业务案例被证明是由几个因素，即按需容量的可用性，响应要求，和需求模式的影响。这项工作支持公司使用按需仓储，如果它有严格的响应要求，例如当天交货;但是，如果公司有放松的响应要求，那么按需仓储只有在计划的按需服务的能力可用性很高时才被推荐。我们还分析了第三方物流公司以高价租赁的容量灵活性选项，并提请注意他们提供更精细的解决方案以保持市场竞争力的重要性。
On-demand warehousing platforms match companies with underutilized warehouse and distribution capabilities with customers who need extra space or distribution services. These new business models have unique advantages, in terms of reduced capacity and commitment granularity, but also have different cost structures compared with traditional ways of obtaining distribution capabilities. This research is the first quantitative analysis to consider distribution network strategies given the advent of on-demand warehousing. Our multi-period facility location model – a mixed-integer linear program – simultaneously determines location-allocation decisions of three distribution center types (self-distribution, 3PL/lease, on-demand). A simulation model operationally evaluates the impact of the planned distribution strategy when various uncertainties can occur. Computational experiments for a company receiving products produced internationally to fulfil a set of regional customer demands illustrate that the power of on-demand warehousing is in creating hybrid network designs that more efficiently use self-distribution facilities through improved capacity utilization. However, the business case for on-demand warehousing is shown to be influenced by several factors, namely on-demand capacity availability, responsiveness requirements, and demand patterns. This work supports a firm’s use of on-demand warehousing if it has tight response requirements, for example for same-day delivery; however, if a firm has relaxed response requirements, then on-demand warehousing is only recommended if capacity availability of planned on-demand services is high. We also analyze capacity flexibility options leased by third-party logistics companies for a premium price and draw attention to the importance of them offering more granular solutions to stay competitive in the market.
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