A study on evaluation of demand information-sharing methods in supply chain

被引:51
作者
Ryu, Seung-Jin [1 ]
Tsukishima, Takahiro [2 ]
Onari, Hisashi [1 ]
机构
[1] Waseda Univ, Shinjuku Ku, Tokyo 1698555, Japan
[2] Hitachi Ltd, Hatoyama, Saitama, Japan
关键词
Supply chain; Information sharing; Community strategy; Demand information management; Control characteristics; Responsiveness; Planned demand transferring method (PDTM); Forecasted demand distributing method (FDDM); IMPACT;
D O I
10.1016/j.ijpe.2008.07.030
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the increasing globalization, there are many sources of uncertainty across the entire high-tech electronics equipment supply chain. These include demand uncertainty and supply uncertainty due to the use of unskilled labor, as well as the sudden breakdown of production facilities of upstream players. These cause many problems, including excess inventory and poor service, to name but two. Information sharing is a very important tool in dealing with these sort of problems because it helps to eradicate potential uncertainties related to various corporate behaviors. Although there has been much research on this subject since the 1990s, there have not been sufficient efforts to identify the control characteristics, or the responsiveness of various information-sharing methods. Our objective here is to clarify the control characteristics of information-sharing methods closely related to the supply chain community strategy. In this study, we evaluate the supply chain performance of two different types of information-sharing methods. One is the planned demand transferring method (PDTM), and the other is the forecasted demand distributing method (FDDM). We analyze supply chain performance for both methods in terms of throughput, inventory level, and service level. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:162 / 175
页数:14
相关论文
共 25 条
[1]   The effect of collaborative forecasting on supply chain performance [J].
Aviv, Y .
MANAGEMENT SCIENCE, 2001, 47 (10) :1326-1343
[2]   Exploiting timely demand information to reduce inventories [J].
Bourland, KE ;
Powell, SG ;
Pyke, DF .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 92 (02) :239-253
[3]   The impact of information sharing and forecasting in capacitated industrial supply chains: A case study [J].
Byrne, P. J. ;
Heavey, Cathal .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 103 (01) :420-437
[4]   Contracting to assure supply: How to share demand forecasts in a supply chain [J].
Cachon, GP ;
Lariviere, MA .
MANAGEMENT SCIENCE, 2001, 47 (05) :629-646
[5]  
Chen F., 2005, Manufacturing and Service Operations Management, V7, P144
[6]   Decentralized supply chains subject to information delays [J].
Chen, FG .
MANAGEMENT SCIENCE, 1999, 45 (08) :1076-1090
[7]   Echelon reorder points, installation reorder points, and the value of centralized demand information [J].
Chen, FR .
MANAGEMENT SCIENCE, 1998, 44 (12) :S221-S234
[8]   A coordination mechanism for a supply chain with demand information updating [J].
Chen, Haoya ;
Chen, Jian ;
Chen, Youhua Frank .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 103 (01) :347-361
[9]   The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective [J].
Dejonckheere, J ;
Disney, SM ;
Lambrecht, MR ;
Towill, DR .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 153 (03) :727-750
[10]   Information sharing in a supply chain under ARMA demand [J].
Gaur, V ;
Giloni, A ;
Seshadri, S .
MANAGEMENT SCIENCE, 2005, 51 (06) :961-969