Evaluation of the allocation performance in a fashion retail chain using data envelopment analysis
Evaluation of the allocation performance in a fashion retail chain using data envelopment analysis
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使用数据包络分析评估时尚零售连锁店的分配绩效
DOI：
10.1080/00405000.2018.1532376
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发表时间：
2019-06-03
影响因子：
1.7
通讯作者：
Yu, Yu
中科院分区：
文献类型：
--
作者：
Huang, He;Li, Shanling;Yu, Yu
摘要效率是任何供应链管理中最重要的绩效评价标准之一，尤其是在服装零售业。在时尚行业，产品的特点是生命周期短，需求不确定。大多数快时尚公司都采用了分配的做法，包括初始分配和多次补货，以捕捉最新的市场信息。以往的研究更多地关注资源配置策略的优化，而忽略了效率问题，模型往往比较复杂，难以理解和应用。在这项研究中，我们将分配过程建模为一个具有多个输入和输出的多阶段系统。提出了一种基于时间的动态网络数据包络分析（DEA）模型，即多阶段效率模型（MEM），用于评价分配绩效。最大熵模型考虑了非期望输出、双角色因素（库存作为上一阶段结束时的输出和下一阶段开始时的输入）以及多阶段间双角色因素的不一致属性。同时，介绍了传统的DEA模型，以证明MEM是必要的，以捕捉分配性能。基于MEM结果，确定了更合适的初始分配策略，并讨论了影响分配性能的因素。该模型应用于加拿大一家主要的快时尚公司，以验证其有效性。本文不仅为服装企业供应链管理提供了有价值的管理见解，而且为运筹学理论模型的工业应用做出了贡献。
Abstract Efficiency is one of the most important criteria of performance evaluation in any supply chain management, especially in the fashion retail industry. In the fashion industry, products are characterized by short life cycles and demand uncertainty. Most fast-fashion companies have employed the allocation practice that includes initial allocation and multireplenishment to capture the latest market information. Previous studies focus more on optimizing allocation policies, but overlook the efficiency issue, and the models always tend to be complex and are difficult to understand or apply. In this study, we model the allocation process as a multi-stage system with multiple inputs and outputs. A time-based dynamic network Data Envelopment Analysis (DEA) model, called multi-stage efficiency model (MEM), is developed to evaluate the allocation performance. The MEM considers undesirable outputs, dual-role factors (inventory as an output at the end of previous stage and the input at the beginning of the next stage) and the inconsistent attributes of the dual-role factors among the multi-stages. Meanwhile, the traditional DEA model is introduced to demonstrate the MEM is essential to capture the allocation performance. Based on the MEM results, the more appropriate initial allocation strategy is identified and the factors affecting allocation performance are discussed. The model is applied to a major Canadian fast-fashion company to validate the effectiveness. This article not only provides valuable managerial insights of supply chain management for fashion companies, but also makes contributions to the industrial application of theoretical OR (operation research) models.