具有时变运输时间的JIT系统批量决策

中国管理科学 ›› 2012, Vol. 20 ›› Issue (5): 83-89.

具有时变运输时间的JIT系统批量决策

王海英¹, 丁华², 张翠华¹, 王冰³, 杨明 ²

1. 东北大学工商管理学院, 辽宁沈阳 110819;
2. 沈阳化工大学, 辽宁沈阳 110142;
3. 沈阳大学研究生部, 辽宁沈阳 110044

收稿日期:2011-08-28 修回日期:2012-03-19 出版日期:2012-10-29 发布日期:2012-10-27
基金资助:
国家自然科学基金青年项目(71001021, 71001022);教育部项目基本科研业务费项目青年教师科研启动基金 (N100306002)

Lot Sizing Problem in a JIT System with Time-Varying Delivery

WANG Hai-ying¹, DING Hua², ZHANG Cui-hua¹, WANG Bing³, YANG Ming²

1. School of Business Administration, Northeastern University, Shenyang 110004, China;
2. Shenyang University of Chemical Technology, Shenyang 110142, China;
3. Graduate School, Shenyang University, Shenyang 110044, China

Received:2011-08-28 Revised:2012-03-19 Online:2012-10-29 Published:2012-10-27

摘要/Abstract

摘要： 本文的研究对象是由制造商、配送中心和零售商组成的多级供应链系统,其中零售商要求制造商为其提供短时间间隔、小批量的JIT配送。研究内容为在时变运输时间影响下的供应链系统批量决策问题。在实际运输时间数据的基础上建立了时变运输时间的函数,并以此构建了系统的总成本函数,并在相关文献研究的基础上采用新的更为有效搜索规则进行了求解。根据求解规则,采用ActiveX自动化技术将Matlab的数值计算功能嵌入Visual Basic的集成开发环境中,开发了对应的决策支持系统。最后进行了敏感性分析并提供了低运作成本的决策支持方案。

关键词: 时变运输, JIT, 运输时间, 在途成本, 生产批量

Abstract: A serial supply chain which consists of a raw material supplier, a manufacturer, a distribution center and a retailer is considered in this paper. Time-varying delivery is in the presence between manufacturer facility and the retailer warehouse in the supply chain. Delivery time function is developed based on practical data analysis. The total cost model is derived and a new search algorithm is established. The corresponding Decision Support System is developed by using Active X technology to embed matlab in visual basic. Finally, sensitivity analysis is made to help decision makers achieve a lower total cost in practice.

Key words: time-varying delivery, JIT, delivery time, cost in transit, production batch size

中图分类号:

F253.4

王海英, 丁华, 张翠华, 王冰, 杨明 . 具有时变运输时间的JIT系统批量决策[J]. 中国管理科学, 2012, 20(5): 83-89.

WANG Hai-ying, DING Hua, ZHANG Cui-hua, WANG Bing, YANG Ming. Lot Sizing Problem in a JIT System with Time-Varying Delivery[J]. Chinese Journal of Management Science, 2012, 20(5): 83-89.

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