基于定制的基数激增策略的性能研究:理论与沃尔玛网站的应用

Linwei Xin, Long He, Jagtej Bewli, J. Bowman, H. Feng, Zhiwei Qin
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引用次数: 10

摘要

问题定义:在Walmart.com上销售的许多进口商品有两个供应商:一个是更快的,产能限制是随机的;另一个是更慢的,产能是无限的。两家供应商的交货期差可能高达12周。Walmart.com面临着一个重要而具有挑战性的供应链问题,必须做出常规的库存补充决策。学术/实践意义:双源库存模型在学术界得到了广泛的研究,双源战略在实践中得到了广泛的实施。最近,所谓的“量身定制的基地激增”(TBS)政策开始受到更多关注,并在现有的双源模式中表现出良好的性能。TBS直观且易于管理:每个周期都有来自慢速(常规)供应商的固定订单,并根据快速(快速)供应商的基本库存策略进行调整。方法:本文建立了一种新的双源库存模型,考虑了快递供应商的大交货期差异和随机容量,并利用沃尔玛的数据对TBS的绩效进行了理论和实证研究。结果:我们证明了TBS策略随着常规提前期的增长是渐近最优的,扩展了在无随机容量的双源系统中TBS策略的渐近最优性。我们补充了这一理论,并通过使用Walmart.com的历史销售数据进行模型校准,将TBS与三种著名的启发式方法在“模拟”的现实世界环境中进行了比较。我们的研究结果表明,TBS在最小化长期平均库存成本方面优于其他方法。特别是,如果采用TBS政策,库存成本将至少降低33%。我们的研究结果还表明,在总体水平上,与仅使用进口供应商的单一采购政策相比,TBS可以减少2.7周的供应周,同时增加3.3%的满足需求。管理启示:我们的研究结果表明,如果采用所提出的双源模型和算法,沃尔玛的库存系统将得到显著改善,尤其是进口商品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Performance of Tailored Base-Surge Policies: Theory and Application at Walmart.Com
Problem Definition: Many import items sold at Walmart.com have two suppliers: one is faster and has a random production capacity limit while the other is slower and has infinite capacity. The lead time difference of the two suppliers could be as large as 12 weeks. Walmart.com faces an important and challenging supply chain problem and must make routine inventory replenishment decisions. Academic/Practical Relevance: Dual-sourcing inventory models have been extensively studied in academia and dual-sourcing strategies have been widely implemented in practice. Recently, the so-called Tailored Base-Surge (TBS) policy has begun to receive more attention and demonstrated good performance in existing dual-sourcing models. TBS is intuitive and easy to manage: a constant-order is placed from the slow (regular) supplier every period and a base-stock policy is adapted from the fast (express) supplier. Methodology: This paper develops a new dual-sourcing inventory model incorporating large lead time difference as well as random capacity of the express supplier, and investigates the performance of TBS both theoretically and empirically by using Walmart’s data. Results: We prove that a TBS policy is asymptotically optimal as the regular lead time grows, extending the previous asymptotic optimality of TBS policies in the dual-sourcing system without random capacities. We complement the theory and compare TBS with three well-known heuristics in a “simulated” real-world setting through model calibration by using historical sales data from Walmart.com. Our results demonstrate that TBS outperforms others as for minimizing the long-run average inventory cost. In particular, the inventory cost would be reduced by at least 33% if adapting a TBS policy. Our results also suggest that at an aggregate level, TBS could reduce Weeks of Supply by 2.7 weeks while increasing Met Demand by 3.3% compared with the single-sourcing policy using only the import supplier. Managerial Implications: Our results show that if the proposed dual-sourcing model and algorithm are adapted, Walmart’s inventory system would be significantly improved especially for import items.
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