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  • 标题:Making Decisions in Highly Uncertain and Opportunistic Environments: Towards a Decision Support System for Sales and Operations Planning
  • 本地全文:下载
  • 作者:Danielle FAKHRY ; Raphaël OGER ; Matthieu LAURAS
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:79-84
  • DOI:10.1016/j.ifacol.2022.09.371
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Sales and Operations Planning (S&OP) is a methodology used by most companies to make planning decisions on a medium-term horizon. This methodology and associated tools have been designed for a relatively stable environment. However, this assumption is not relevant anymore, and practitioners face difficulties to perform S&OP in highly uncertain and opportunistic environments. Therefore, this paper proposes to pave the way towards a solution to these difficulties, by introducing a conceptual framework for designing a decision support system for performing S&OP in highly uncertain and opportunistic environments. The paper concludes with a set of research avenues to make it real.
  • 关键词:Sales;operations planning;S&OPdecision support systems;risk management;uncertainty;decision-making process;information system;MRP II;supply chain management
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