Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method

Taho Yang, Yuan Feng Wen, Fang Fang Wang

研究成果: Article同行評審

61 引文 斯高帕斯(Scopus)

摘要

The advances in information technology have prompted the development of many supply chain information-sharing strategies, including electronic point of sales (EPOS), vendor-managed inventory (VMI), e-shopping, emergency transshipments, and so on. However, variations in the business environment can produce uncertainty and increase decision-making complexity for enterprises selecting from various supply chain information-sharing strategies. An effective and efficient supply chain strategy should be capable of reducing costs and raising customer-service levels, and should be capable of enhancing the robustness of the supply chain. In this study, the robustness of different supply chain strategies under various uncertain environments is studied using the simulated beer game. Techniques included Taguchi methodology and multiple criteria decision-making methods (MCDMs), including simple multiple attribute rating technology (SMART), technique for order performance by similarity to ideal solution (TOPSIS), and grey relational analysis (GRA). The signal-to-noise (S/N) ratio for each criterion is calculated to indicate the robustness of performance. This S/N ratio is used to determine an overall evaluation among various supply chain information-sharing strategies. The simulation results show that e-shopping has the most robust performance in uncertain environments.

原文English
頁(從 - 到)458-466
頁數9
期刊International Journal of Production Economics
134
發行號2
DOIs
出版狀態Published - 2011 12月

All Science Journal Classification (ASJC) codes

  • 一般商業,管理和會計
  • 經濟學與計量經濟學
  • 管理科學與經營研究
  • 工業與製造工程

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