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A mixed integer programming model to evaluate the impact of business factors on global manufacturing relocation decisions

机译:一种混合整数规划模型,用于评估业务因素对全球制造业重定位决策的影响

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摘要

In recent years, dramatic changes in business factors have triggered a trend of manufacturing relocation out of 'The World's Factory', which is the Pearl River Delta (PRO), China. Global manufacturers in PRO have been facing unprecedented operating cost pressure, due to RI1B currency appreciation, rising labor cost, highly volatile oil price, tax rebate adjustment and industry policy changes. This paper presents a Mixed Integer Programming (MIP) model, to evaluate the impact of business factors on global manufacturing relocation decisions. Objective function of the MIP model is to minimize Total Landed Cost (TLC) for international markets. Application of the MIP model is illustrated through a case study with a hypothetical footwear manufacturer. Managerial implications on supply chain dynamics and regional economy are derived from modeling results and analysis.
机译:近年来,商业因素的急剧变化引发了制造工厂从“世界工厂”迁出的趋势,该工厂位于中国的珠江三角洲(PRO)。由于RI1B货币升值,人工成本上升,油价高度波动,退税调整和行业政策变化,PRO的全球制造商一直面临前所未有的运营成本压力。本文提出了一种混合整数规划(MIP)模型,以评估业务因素对全球制造业搬迁决策的影响。 MIP模型的目标功能是使国际市场的总着陆成本(TLC)最小化。通过与假设的鞋类制造商的案例研究,说明了MIP模型的应用。管理对供应链动态和区域经济的影响来自建模结果和分析。

著录项

  • 作者

    Huang GQ; Zhang A;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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