Facility Layout Planning Using Fuzzy Closeness Computation and a Genetic Algorithm

被引：1

作者：

Menon, Dilip ^{[1
]}

Zwimpfer, Cedric ^{[1
]}

Hanne, Thomas ^{[1
]}

Dornberger, Rolf ^{[2
]}

机构：

[1] Univ Appl Sci & Arts Northwestern Switzerland, Sch Business, Riggenbachstr 16, CH-4600 Olten, Switzerland

[2] Univ Appl Sci & Arts Northwestern Switzerland, Sch Business, Inst Informat Syst, CH-4002 Basel, Switzerland

来源：

2015 3RD INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL AND BUSINESS INTELLIGENCE (ISCBI 2015) | 2015年

关键词：

facility layout problem; fuzzy systems; facility relationship; genetic algorithm; layout design;

D O I：

10.1109/ISCBI.2015.10

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of this study is to analyze and improve the solution of the facility layout problem following earlier approaches by Karray et al. We briefly describe the facility layout problem, including a short literature review, compare different solution methods and finally introduce a new solution approach combining fuzzy logic with a genetic algorithm (GA). In the end we compare results from both implementations and give some conclusions.

引用

页码：13 / 20

页数：8

共 19 条

[1]

Adhikari B., 2012, FACILITY LOCATION LA

[2]

[Anonymous], STAT COMPUTING

[3]

Arikaran P., 2010, International Journal of Engineering, V4, P44

[4] Fuzzy decision support system for manufacturing facilities layout planning [J].