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论文

战略性转移定价承诺策略下的供应商选择柔性研究

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  • 1. 武汉大学经济与管理学院, 湖北 武汉 430072;
    2. 武汉大学新闻与传播学院, 湖北 武汉 430072
冯华(1978-),女(汉族),湖北人,武汉大学经济与管理学院副教授,博士,研究方向:供应链能力和供应链治理,E-mail:fenghua@whu.edu.cn.

收稿日期: 2014-03-19

  修回日期: 2014-12-31

  网络出版日期: 2016-02-25

基金资助

国家自然科学基金资助项目(71202119,71001081);教育部人文社科基金资助项目(09YJC630172)

A Study on the Supplier Selection Flexibility Based on Strategic Transfer Pricing Commitment

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  • 1. School of Economics & Management, Wuhan University, Wuhan 430072, China;
    2. School of Journalism and Communication, Wuhan University, WUhan 430072, China

Received date: 2014-03-19

  Revised date: 2014-12-31

  Online published: 2016-02-25

摘要

在上游供应商的战略性转移定价承诺策略与下游制造商投资创新决策之间存在着交互作用,笔者将静态环境下的这种交互作用与不同柔性层次下的动态供应网络架构相结合,以供应链路径柔性为切入点,基于承诺的交货提前期、投资创新、产量与供应链收益等供应链绩效维度来探讨战略性转移定价承诺策略下的供应链合作模式相关话题。考虑到AMj在不同CS#em/em#之间进行选择的柔性化特征,笔者至少得到如下三个方面的结论:首先,供应网络架构柔性是供应链整体及其各节点企业获取绩效改善的重要途径,与没有柔性相比,完全柔性和部分柔性情形下的供应链绩效均能得到明显改善,而其中又以完全柔性优势最为突出;其次,虽然部分柔性是供应网络架构中较为可行的柔性层次选择,但是,其与完全柔性一样,容易产生供应网络资源的供给与需求失衡现象;第三,不确定性情境下的一体化决策与确定性情境下的转移定价承诺决策对供应链利润绩效所产生的影响取决于供应网络柔性层次以及供应网络节点企业各自的能力特点,进而对供应链整体及其各节点的合作模式和行为取向起着主导作用。

本文引用格式

冯华, 庞美, 刘开军, 王天予 . 战略性转移定价承诺策略下的供应商选择柔性研究[J]. 中国管理科学, 2016 , 24(2) : 38 -46 . DOI: 10.16381/j.cnki.issn1003-207x.2016.02.005

Abstract

There are interactions between upstream strategic transfer pricing commitment and downstream innovation in a supplier-manufacturer channel, which strongly affect supply chain cooperation mode and the partners' behavior preferences. Based on routing flexibility and supply chain performance dimensions, say, committed delivery lead time, innovation investment, production quantity and profit, in this parer a strategic transfer pricing commitment model is formulated to provide a view of issues concerning supply chain cooperation mode, with combining the above mentioned static interactions and different flexibility levels into dynamic supply network configuration. By so doing, can at least five interactions be identified, say, i) FF Flexible transfer pricing, Flexible production quantity), ii]) CF(Committed transfer pricing, Flexible production quantity), iii) CO(Committed transfer pricing, Without delivery time uncertainty), iv) IW(Integrated supply chain, With delivery time uncertainty), v) IO(Integrated supply chain, Without delivery time uncertainty). With considering the supply chain routing flexibility and applying sample simulation analysis method, at least three conclusions can be obtained, I) Flexible supply network configuration is an important method for supply chain partners and supply chain as a whole to obtain performance improvement. Comparing with no flexibility, maximal and partial flexibility can help to improve performance, and maximal flexibility assumes the most priority in this process. II) Although partial flexibility is a feasible flexibility configuration, it arouses disequilibrium of network resources between supply and demand. III) Flexibility level and each partner's ability are two dominant dimensions to distinguish profit performance between integrated decision with uncertainty and transfer pricing commitment without uncertainty, and further influence the selection of supply chain cooperation mode and behavior preference. Sample simulation analysis in this paper, in which data is partly adopted and modified use for reference of the researches done by Cho and Gerchak[14] and Wadhwa et al.[4] helps to confirm the above deduction and provides a view for further research of the interactions that exist between optimal cooperation modes and behavior preferences.

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