Fuzzy optimization for distribution of frozen food with imprecise times

被引：40

作者：

Brito, J. ^{[1
]}

Martinez, F. J. ^{[1
]}

Moreno, J. A. ^{[1
]}

Verdegay, J. L. ^{[2
]}

机构：

[1] Univ La Laguna, Inst Univ Desarrollo Reg, Tenerife, Spain

[2] Univ Granada, Dept CC Comp & Inteligencia Artificial, Granada, Spain

来源：

FUZZY OPTIMIZATION AND DECISION MAKING | 2012年 / 11卷 / 03期

关键词：

Fuzzy linear programming; Fuzzy optimization; Vehicle routing problem; Frozen food and Fuzzy constraints;

D O I：

10.1007/s10700-012-9131-z

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Problems concerning the distribution routes for frozen products need to incorporate constraints that avoid breaks in the cold chain. The decision making process under uncertain environments is a common one in real logistics problems. The purpose of this study is to apply a fuzzy approach which will provide an optimal solution to the distribution of frozen food with uncertainty in its time values. A soft computing approach is used where fuzzy constraints are included in the modeling and the solution of the problem.

引用

页码：337 / 349

页数：13

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