A Fuzzy Cognitive Map Approach for Modeling CPFR Supporting Factors

被引：0
|
作者：
Buyukozkan, G. [1 ]
Vardaloglu, Z. [1 ]
Feyzioglu, O. [1 ]
机构：
[1] Galatasaray Univ, Dept Ind Engn, TR-34357 Istanbul, Turkey
来源：
WORLD CONGRESS ON ENGINEERING 2009, VOLS I AND II | 2009年
关键词：
Collaborative planning; forecasting and replenishment; fuzzy cognitive map; information sharing; decision synchronization; incentive alignment; INVENTORY; SUCCESS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Collaborative planning, forecasting and replenishment (CPFR) coordinates the various supply chain management activities including production and purchase planning, demand forecasting and inventory replenishment between supply chain trading partners. This study proposes a systematic way of analyzing CPFR supporting factors using fuzzy cognitive map (FCM) approach. FCMs have proven particularly useful for solving problems in which a number of decision variables and uncontrollable variables are causally interrelated. Hence the FCMs of CPFR are created to show the relationships between the factors that influence on effective implementation of CPFR in the supply chain.
引用
收藏
页码：566 / 571
页数：6
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