Normative approach to six sigma project selection

Mahmood Al Kindi

Normative approach to six sigma project selection

Mahmood Al Kindi^*

^*Corresponding author for this work

Mechanical and Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces the notion of expected utility and how to implement it in Six Sigma. Moreover, it intends to bridge the gap between process variation and the economic impact in order to have a clear view of economical consequences. It is agreed that the key for the success of any manufacturing firm is to select the most profitable project. There is a significant awareness in the Six Sigma community of the need for a tool that incorporates uncertainties, is data driven, and takes into account all financial aspects. Having an outstanding process quality is not necessarily an economical objective.

Original language	English
Title of host publication	21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011
Pages	1140-1144
Number of pages	5
Publication status	Published - 2011
Event	21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011 - Denver, CO, United States Duration: Jun 20 2011 → Jun 23 2011

Publication series

Name	21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011
Volume	2

Other

Other	21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011
Country/Territory	United States
City	Denver, CO
Period	6/20/11 → 6/23/11

Keywords

Expected utility
Project selection
Six sigma

ASJC Scopus subject areas

Hardware and Architecture
Information Systems
Control and Systems Engineering

Cite this

Normative approach to six sigma project selection. / Kindi, Mahmood Al.

21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011. 2011. p. 1140-1144 (21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kindi, MA 2011, Normative approach to six sigma project selection. in 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011. 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011, vol. 2, pp. 1140-1144, 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011, Denver, CO, United States, 6/20/11.

@inproceedings{042a04046b7e4197a3e479b3166f60c8,

title = "Normative approach to six sigma project selection",

abstract = "This paper introduces the notion of expected utility and how to implement it in Six Sigma. Moreover, it intends to bridge the gap between process variation and the economic impact in order to have a clear view of economical consequences. It is agreed that the key for the success of any manufacturing firm is to select the most profitable project. There is a significant awareness in the Six Sigma community of the need for a tool that incorporates uncertainties, is data driven, and takes into account all financial aspects. Having an outstanding process quality is not necessarily an economical objective.",

keywords = "Expected utility, Project selection, Six sigma",

author = "Kindi, {Mahmood Al}",

year = "2011",

language = "English",

isbn = "9781618391155",

series = "21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011",

pages = "1140--1144",

booktitle = "21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011",

note = "21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011 ; Conference date: 20-06-2011 Through 23-06-2011",

}

TY - GEN

T1 - Normative approach to six sigma project selection

AU - Kindi, Mahmood Al

PY - 2011

Y1 - 2011

N2 - This paper introduces the notion of expected utility and how to implement it in Six Sigma. Moreover, it intends to bridge the gap between process variation and the economic impact in order to have a clear view of economical consequences. It is agreed that the key for the success of any manufacturing firm is to select the most profitable project. There is a significant awareness in the Six Sigma community of the need for a tool that incorporates uncertainties, is data driven, and takes into account all financial aspects. Having an outstanding process quality is not necessarily an economical objective.

AB - This paper introduces the notion of expected utility and how to implement it in Six Sigma. Moreover, it intends to bridge the gap between process variation and the economic impact in order to have a clear view of economical consequences. It is agreed that the key for the success of any manufacturing firm is to select the most profitable project. There is a significant awareness in the Six Sigma community of the need for a tool that incorporates uncertainties, is data driven, and takes into account all financial aspects. Having an outstanding process quality is not necessarily an economical objective.

KW - Expected utility

KW - Project selection

KW - Six sigma

UR - http://www.scopus.com/inward/record.url?scp=84877892844&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877892844&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84877892844

SN - 9781618391155

T3 - 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011

SP - 1140

EP - 1144

BT - 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011

T2 - 21st Annual International Symposium of the International Council on Systems Engineering, INCOSE 2011

Y2 - 20 June 2011 through 23 June 2011

ER -

Normative approach to six sigma project selection

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this