Fuzzy optimization for supply chain planning under supply, demand and process uncertainties

被引：178

作者：

Peidro, David ^{[1
]}

Mula, Josefa ^{[1
]}

Poler, Raul ^{[1
]}

Verdegay, Jose-Luis ^{[2
]}

机构：

[1] Univ Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Valencia, Spain

[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

FUZZY SETS AND SYSTEMS | 2009年 / 160卷 / 18期

关键词：

Fuzzy mathematical programming; Supply chain planning; Uncertainty modelling; Fuzzy sets; STOCHASTIC-PROGRAMMING APPROACH; VENDOR SELECTION PROBLEM; INVENTORY MANAGEMENT; FLEXIBLE CONSTRAINTS; SIMULATION; MODELS; PERFORMANCE; RELAXATION; DECISIONS; EXTENSION;

D O I：

10.1016/j.fss.2009.02.021

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In today's global marketplace, individual firms do not compete as independent entities rather as ail integral part of a supply chain. This paper proposes a fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties. The model has been formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers. The fuzzy model provides the decision maker with alternative decision plans for different degrees of satisfaction. This proposal is tested by using data from a real automobile supply chain. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：2640 / 2657

页数：18

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