Fuzzy estimations and system dynamics for improving supply chains

被引：48
|
作者：
Campuzano, Francisco [1 ]
Mula, Josefa [2 ]
Peidro, David [2 ]
机构：
[1] Tech Univ Cartagena UPCT, Murcia, Spain
[2] Univ Politecn Valencia, CIGIP Res Ctr Prod Management & Engn, Valencia, Spain
来源：
FUZZY SETS AND SYSTEMS | 2010年 / 161卷 / 11期
关键词：
Fuzzy numbers; Simulation; System dynamics; Supply chain; Bullwhip effect; PROGRAMMING APPROACH; MODELS;
D O I：
10.1016/j.fss.2009.12.002
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we evaluate the behavior of fuzzy estimations of demand instead of demand forecasts based on exponential smoothing in a two-stage, single-item, multi-period supply chain. A system dynamics model with fuzzy estimations of demand has been constructed for supply chain simulation. Fuzzy numbers are used to model fuzzy demand estimations. With a numerical example, we show that the bullwhip effect and the amplification of the inventory variance (NSamp) can be effectively reduced. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1530 / 1542
页数：13
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