A new DEA model for six sigma project selecting: Case study on Esfahan Province Electricity Distribution Co (EPEDC)

Author

Yousefi, A. ; Aqamohammadi, A.R.

Author_Institution

Dept. of Customer Services, Esfahan Province Electr. Distrib. Co., Esfahan, Iran

fYear

2014

Firstpage

627

Lastpage

631

Abstract

The first step to reduce the risk of failure in six sigma projects is selecting optimal ones which have the most profits and the least expected risks. The main objective (question) of the current research is inspecting that if DEA is a suitable technique for selecting six sigma projects. To meet the objective, we introduce a new DEA (Data Envelopment Analysis) model to select six sigma projects. Then, we employ LDA (Linear Discriminant Analysis) to examine results validity of the proposed DEA model. A real application in electricity distribution industry is demonstrated. Base on Our findings, DEA ranking is strongly confirmed by LDA technique; hence, DEA is a proper model to select six sigma projects.

Keywords

data envelopment analysis; distribution networks; project management; six sigma (quality); DEA model; EPEDC; Esfahan Province Electricity Distribution Co; LDA; data envelopment analysis; electricity distribution industry; linear discriminant analysis; six sigma project selection; Analytical models; Companies; Data envelopment analysis; Electricity; Environmental factors; Six sigma; DEA; LDA; Project Selecting; Six Sigma;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on

Type

conf

DOI

10.1109/IEEM.2014.7058714

Filename

7058714