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

页码：1530 / 1542

页数：13

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[2]

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[3]

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