...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of production economics >An inverse economic lot-sizing approach to eliciting supplier cost parameters
【24h】

An inverse economic lot-sizing approach to eliciting supplier cost parameters

机译：推算供应商成本参数的逆批量方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recent literature on supply chain coordination offers a wide range of game theoretic and optimization approaches that ensure efficient planning in the supply chain, but assume that the involved parties have complete information about each other. However, in reality, complete information is rarely available, and those models alone do not present any incentive for the parties to reveal their private information, e.g., the cost parameters that they use when solving their planning problems. This paper proposes an inverse lot-sizing model for eliciting the cost parameters of a supplier from historic demand vs. optimal delivery lot-size pairs, gathered during repeated earlier encounters. It is assumed that the supplier solves a single-item, multi-period, uncapacitated lot-sizing problem with backlogs to optimality to calculate its lot-sizes, and the buyer is aware of this fact. The inverse lot-sizing problem is reformulated to an inverse shortest path problem, which is, in turn, solved as a linear program. This model is used to compute the ratios of the suppliers cost parameters, i.e., the setup, the holding, and the backlog cost parameters consistent with all the historic samples. The elicited cost parameters can be used as input for various game theoretic or bilevel optimization models for supply chain coordination. Computational experiments on randomly generated problem instances indicate that the approach is very efficient in predicting future supplier actions from the historic records.
机译：有关供应链协调的最新文献提供了广泛的博弈论和优化方法，可确保在供应链中进行有效的计划，但要假设参与的各方具有彼此完整的信息。但是，实际上，很少有完整的信息，并且仅这些模型就不会激励各方公开其私人信息，例如，他们在解决计划问题时使用的成本参数。本文提出了一个逆向批量模型，该模型用于从历史需求与最佳交付批量大小对之间得出供应商的成本参数，这些对价是在反复的较早遭遇中收集的。假设供应商解决了单项，多期，无能力的批量问题，并且积压到最优以计算其批量大小，并且买方意识到了这一事实。将逆批量问题重新构造为逆最短路径问题，然后将其解决为线性程序。该模型用于计算供应商成本参数的比率，即与所有历史样本一致的设置，持有量和积压成本参数。得出的成本参数可以用作各种博弈论或双层优化模型的输入，以进行供应链协调。对随机产生的问题实例的计算实验表明，该方法在根据历史记录预测未来供应商的行为方面非常有效。

著录项

  • 来源
  • 作者

    Peter Egri; Tamas Kis; Andras Kovacs; Jozsef Vancza;

  • 作者单位

    Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary;

    Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary;

    Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary;

    Fraunhofer Project Center for Production Management and Informatics, Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary,Department of Manufacturing Science and Technology, Budapest University of Technology and Economics, Hungary;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Economic lot-sizing; Inverse combinatorial optimization; Eliciting cost parameters;

    机译：经济批量;逆组合优化;选定成本参数;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号