Optimizing production allocation with simulation in the fashion industry: A multi-company case study

Virginia Fani, Romeo Bandinelli, R. Rinaldi
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引用次数: 1

Abstract

Production Planning and Control (PP&C) has been deeply analyzed in the literature, both in general terms and focusing on specific industries, such as the fashion one. The paper aims to add a contribution in this field presenting an optimization model for the Fashion Supply Chain (FSC), developed considering an interdependent environment composed by a group of focal companies that work with both exclusive and not-exclusive suppliers. The proposed framework will combine simulation and optimization models based on parameters, decision variables, constraints and Objective Functions (OFs) collected through a literature review. The framework has been developed in a parametrical way, in order to fit the peculiarities of the different actors operating along the FSC. The empirical implementation of the framework has been conducted using data coming from fashion companies belonged to the same network, considering rush orders as stochastics events for the scenario analysis and Key Performance Indicators (KPIs) assessment.
用模拟优化时装行业的生产分配:一个多公司的案例研究
生产计划和控制(PP&C)已经在文献中进行了深入的分析,无论是一般的还是专注于特定的行业,如时尚业。本文旨在为这一领域做出贡献,提出了时尚供应链(FSC)的优化模型,该模型考虑了由一组重点公司组成的相互依存环境,这些公司与独家和非独家供应商合作。提出的框架将结合基于参数、决策变量、约束和目标函数(OFs)的仿真和优化模型,这些模型通过文献综述收集。该框架以参数化的方式开发,以适应沿FSC运行的不同参与者的特点。该框架的实证实施使用了来自同一网络的时装公司的数据,将匆忙订单视为情景分析和关键绩效指标(kpi)评估的随机事件。
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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