Quick response in fast fashion retail: An optimization supply chain responsiveness model

Naila Fares, M. Lebbar, N. Sbihi
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引用次数: 7

Abstract

Fast fashion is a highly competitive field of fashion, where: frequent new trends, unexpected customer demand, and a large inventory of items are the main features of the field. From operations perspective, decision makers should demonstrate a high responsiveness flexibility, so that they can be in line with the fast fashion speed. In this context, our main goal in this article is to present a quick response business model: it is an operation mathematical model, that allows international retailer to correct the initial replenishment decisions, according to the market responsiveness and the latest sales data, in order to re-define continuously and dynamically the replenishment policies, in line with the fast fashion market speed. Our mathematical model is an integer linear program, that we resolved using IBM Cplex optimizer. The model parameters are explained; experimental results within several instances are established and presented.
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快时尚零售中的快速响应:一个优化的供应链响应模型
快时尚是一个竞争激烈的时尚领域,其中:频繁的新趋势,意想不到的客户需求和大量的商品库存是该领域的主要特点。从运营的角度来看,决策者应该表现出高度的响应灵活性,这样他们才能跟上快时尚的速度。在这种背景下,本文的主要目标是提出一个快速响应的商业模型:它是一个操作数学模型,允许国际零售商根据市场反应和最新的销售数据来纠正最初的补货决策,以便持续和动态地重新定义补货政策,符合快时尚市场的速度。我们的数学模型是一个整数线性程序,我们使用IBM Cplex优化器来解决这个问题。对模型参数进行了解释;建立并给出了几个实例的实验结果。
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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