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Information sharing in capacity constrained supply chains under lost sales

机译:销售损失下产能受限的供应链中的信息共享

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摘要

We present a modelling approach for quantifying the value of information in supply chains using Markov decision processes (MDP). The case where information sharing occurs is modelled using a completely observable MDP. A restricted observation MDP is used to model the case where no information sharing occurs. We illustrate the use of this framework on a two-stage capacity-constrained supply chain consisting of a supplier and a retailer. We quantify the value of information sharing in this setting and construct several performance measures to identify the benefits to both the retailer and supplier as a result of the information sharing partnership.
机译:我们提出一种使用马尔可夫决策过程(MDP)量化供应链中信息价值的建模方法。使用完全可观察的MDP对发生信息共享的情况进行建模。受限观察MDP用于对没有信息共享的情况进行建模。我们说明了此框架在由供应商和零售商组成的两阶段容量受限的供应链中的使用。在这种情况下,我们将量化信息共享的价值,并构建一些绩效指标,以确定信息共享合作伙伴关系对零售商和供应商双方的利益。

著录项

  • 来源
    《International Journal of Production Research》 |2011年第24期|p.7469-7491|共23页
  • 作者单位

    Department of Industrial and Systems Engineering, North Carolina A&T State University,Greensboro, NC, USA;

    Edward P. Fitts Department of Industrial Engineering, North CarolinaState University, Raleigh, NC, USA;

    Edward P. Fitts Department of Industrial Engineering, North CarolinaState University, Raleigh, NC, USA;

    Secondary Marketing, Countrywide Financial Corporation, 4500 Park Granada, MS: CH-140, Calabasas, CA, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    markov decision process; supply chain information sharing;

    机译:马可夫决策过程;供应链信息共享;

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