• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Optimal Ordering Policy and Coordination Mechanism of a Supply Chain with Controllable Lead-Time-Dependent Demand Forecast
【24h】

Optimal Ordering Policy and Coordination Mechanism of a Supply Chain with Controllable Lead-Time-Dependent Demand Forecast

机译：可预测提前期相关需求预测的供应链最优订货策略与协调机制

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

This paper investigates the ordering decisions and coordination mechanism for a distributed short-life-cycle supply chain. The objective is to maximize the whole supply chain's expected profit and meanwhile make the supply chain participants achieve a Pareto improvement. We treat lead time as a controllable variable, thus the demand forecast is dependent on lead time: the shorter lead time, the better forecast. Moreover, optimal decision-making models for lead time and order quantity are formulated and compared in the decentralized and centralized cases. Besides, a three-parameter contract is proposed to coordinate the supply chain and alleviate the double margin in the decentralized scenario. In addition, based on the analysis of the models, we develop an algorithmic procedure to find the optimal ordering decisions. Finally, a numerical example is also presented to illustrate the results.
机译：本文研究了分布式短生命周期供应链的订购决策和协调机制。目的是使整个供应链的预期利润最大化，同时使供应链参与者实现帕累托改进。我们将提前期视为一个可控制的变量，因此需求预测取决于提前期：提前期越短，预测越好。此外，在分散和集中的情况下，制定并比较了提前期和订单数量的最佳决策模型。此外，提出了三参数合同以协调供应链并减轻分散情况下的双重利润。此外，基于模型的分析，我们开发了一种算法程序来找到最佳订购决策。最后，还给出了一个数值示例来说明结果。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2011年第3期|p.1-24|共24页
  • 作者

    Hua-Ming Song; Hui Yang; Jian-Qiang Luo;

  • 作者单位

    Department of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;

    Department of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;

    Department of Industrial Engineering, Jiangsu University, Zhenjiang 212013, China;

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

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