期刊文献+

随机需求条件下产品退货政策协调与优化 被引量:19

Coordination and Optimization for Returns Policy under Stochastic Demands
下载PDF
导出
摘要 本文研究了随机需求条件下基于退货的单周期单一产品逆向供应链模型。首先,研究了集中决策条件下集成厂商的利润函数,并讨论了实现利润最大化的最优性条件及其最优订货量;其次,在分散决策条件下,分别研究了制造商和销售商的利润函数,并讨论了销售商的最优性条件及其最优订货量;最后,在集中决策和分散决策模型的基础上,重点研究了供应链的协调与优化,得出了实现供应链协调的基本条件和两者之间的利润分配机制。通过制定批发价格和退货价格来实现两者之间的增加利润的任意分配。 Under stochastic market demands, returns policy is presented in single-period and one-prod-uct reverse supply chain. The optimization conditions and optimal ordering quantities are derived for profit maximization on the condition of centralized and decentralized decision making. The supply chain coordination and optimization are the focus of this paper and further the primary conditions and profit allocation mechanism are proposed. The profit allocation of the difference between the centralization and decentralization is accomplished by the price of wholesale and return.
出处 《中国管理科学》 CSSCI 2007年第3期56-60,共5页 Chinese Journal of Management Science
基金 国家自然科学基金资助项目(70472033)
关键词 逆向供应链 退货政策 随机需求 供应链协调与优化 reverse supply chain returns policy stochastic demand supply chain coordination and optimization
  • 相关文献

参考文献15

  • 1达庆利,黄祖庆,张钦.逆向物流系统结构研究的现状及展望[J].中国管理科学,2004,12(1):131-138. 被引量:379
  • 2Stock J.R..Reverse logistics[M].Council of Logistics Management.Oak Brook,IL,1992.
  • 3Margarete A.Seitz,Ken Peattie.Meeting the ClosedLoop Challenge:The Case of Remanufacturing[J].California management review,2004,46 (2):74-89.
  • 4Fleischmann M.,J.Bloemhof-Ruwaard,R.Dekker,et al.Quantitative models for reverse logistics:A review[J].European Journal of Operational Research,1997,103(1):1-17.
  • 5Savaskan R.C.,S.Bhattacharya,L.N.Van Wassenhove.Closed-loop supply chain models with product remanufacturing[J].Management Science,2004,50(2):239-252.
  • 6Emmons H.,Gilbert S.M..The role of returns policies in pricing and inventory decisions for catalogue goods[J].Management Sciences,1998,44 (2):276-283.
  • 7Lau H.S.A.,Lau H.L..Manufacturer's pricing strategy and return policy for a single period commodity[J].European Journal of Operational Research,1999,116(2):291-304.
  • 8Lee C.H..Coordination stocking,clearance sales,and return policies for a supply chain[J].European Journal of Operational Research,2001,131(3):491-513.
  • 9Fleischmann M,R.Kuik,R.Dekker.Controlling inventories with stochastic item returns:A basic model[J].European Journal of Operational Research,2002,138 (1):63-75.
  • 10Yun zengwang.Channel performance under consignment contract with revenue sharing[J].Management Science,2004,50 (1):34-47.

二级参考文献34

  • 1Pasternack B A. Optimal pricing and return policies for perishable commodities[J]. Marketing Science, 1989, 4(2):166--176.
  • 2Padmanabhan V, Png I P L. Returns polices: make money by making good[J]. Sloan Management Review (Fall),1995, 65--72.
  • 3Emmons H, Gilbert S M. The role of returns policies in pricing and inventory decisions for catalogue goods[J]. Management Sciences, 1998,44 (2) : 276-- 283.
  • 4Lau H S, A Lau H L. Manufacturer's pricing strategy and return policy for a single period commodity[J]. European Journal of Operational Research, 1999, 116 : 291-- 304.
  • 5Lee C H. Coordination stocking, clearance sales, and return policies for a supply chain[J]. European Journal of Operational Research, 2001,131 : 491 -- 513.
  • 6Karlin S, Carr R C. Prices and Optimal Inventory Policy[A]. KJ Arrow, S. Karlin and H. Scarf. Studies in Applied Probability and Management Science[C]. Stanford University Press, Stanford, CA. USA, 1962.
  • 7Mills E S. Uncertainty and price theory[J]. Quarterly Journal of Economics, 1959, 73:117--130.
  • 8Leland H E. Theory of the firm facing uncertain demand[J]. American Economic Review,1972, 62(3) : 278--291.
  • 9Silver E A, Pyke D F, Peterson R. Inventory Management and Production Planning and Scheduling[M]. NewYork : John Wiley, USA,1998.
  • 10Whitin T M. Inventory control and price theory[J]. Management Science, 1955, 2:61-- 82.

共引文献544

同被引文献217

引证文献19

二级引证文献113

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部