Analyzing of Collaborative Planning, Forecasting and Replenishment Approach Using Fuzzy Cognitive Map

被引：6

作者：

Buyukozkan, Guelcin ^{[1
]}

Vardaloglu, Zeynep ^{[1
]}

机构：

[1] Galatasaray Univ, Dept Ind Engn, Istanbul, Turkey

来源：

CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3 | 2009年

关键词：

Collaborative planning; forecasting; replenishment; fuzzy cognitive maps; supply chain management; INVENTORY; SUCCESS;

D O I：

10.1109/ICCIE.2009.5223521

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Collaborative panning, 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 suggests 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 supply chain.

引用

页码：1751 / 1756

页数：6

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