Setting the processing parameters in injection molding through multiple-criteria optimization:: A case study

被引：11

作者：

Garcia Loera, Velia ^{[1
]}

Castro, Jose M. ^{[2
]}

Mireles Diaz, Jesus ^{[3
]}

Chacon Mondragon, Oscar L. ^{[4
]}

Cabrera-Rios, Mauricio ^{[4
]}

机构：

[1] Univ Autonoma Nuevo Leon, Fac Ingn Mecan & Elect, Grp Soriana, Monterrey 64610, Mexico

[2] Ohio State Univ, Dept Ind Welding & Syst Engn, Columbus, OH 43210 USA

[3] Visteon Carplast, Apodaca 66600, Mexico

[4] Univ Autonoma Nuevo Leon, Fac Ingn Mecan & Elect, Grad Program Syst Engn, Monterrey 66450, Mexico

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2008年 / 38卷 / 05期

关键词：

data envelopment analysis (DEA); design of experiments; injection molding (IM); multiple-criteria optimization;

D O I：

10.1109/TSMCC.2008.923883

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this correspondence, a case study involving statistical characterization and multiple criteria optimization on injection molding is presented. This case study is the first application of a method previously described in the literature involving data envelopment analysis geared toward setting design and process variables to meet several performance measures.

引用

页码：710 / 715

页数：6

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