Abstract
Selection of process improvement initiatives can be a challenging task. Process improvement projects usually fall into the following categories: Lean, Six Sigma, Lean Six Sigma, Change Management, and Business Process Reengineering. The selection process of these projects is a multi-criteria decision making process which involves multiple conflicting objectives. In this study, we develop an optimization model to select process improvement projects taking into consideration resource availability, required skills, and budget constraints. In addition, discrete event simulation (DES) models are developed to evaluate some of the selected projects. The DES models account for the uncertainty in the system and allow for performing scenario analysis on the selected projects. To validate the proposed approach, we provide a case study from a high-end server manufacturing environment. Results can be used to enhance the decisions on selecting process improvement projects.
| Original language | English (US) |
|---|---|
| Title of host publication | 2017 Winter Simulation Conference, WSC 2017 |
| Editors | Victor Chan |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3840-3851 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781538634288 |
| DOIs | |
| State | Published - Jan 4 2018 |
| Event | 2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States Duration: Dec 3 2017 → Dec 6 2017 |
Other
| Other | 2017 Winter Simulation Conference, WSC 2017 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 12/3/17 → 12/6/17 |
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All Science Journal Classification (ASJC) codes
- Software
- Modeling and Simulation
- Computer Science Applications
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A framework for selecting and evaluating process improvement projects using simulation and optimization techniques. / Aqlan, Faisal; Ramakrishnan, Sreekanth; Al-Fandi, Lawrence; Saha, Chanchal.
2017 Winter Simulation Conference, WSC 2017. ed. / Victor Chan. Institute of Electrical and Electronics Engineers Inc., 2018. p. 3840-3851.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A framework for selecting and evaluating process improvement projects using simulation and optimization techniques
AU - Aqlan, Faisal
AU - Ramakrishnan, Sreekanth
AU - Al-Fandi, Lawrence
AU - Saha, Chanchal
PY - 2018/1/4
Y1 - 2018/1/4
N2 - Selection of process improvement initiatives can be a challenging task. Process improvement projects usually fall into the following categories: Lean, Six Sigma, Lean Six Sigma, Change Management, and Business Process Reengineering. The selection process of these projects is a multi-criteria decision making process which involves multiple conflicting objectives. In this study, we develop an optimization model to select process improvement projects taking into consideration resource availability, required skills, and budget constraints. In addition, discrete event simulation (DES) models are developed to evaluate some of the selected projects. The DES models account for the uncertainty in the system and allow for performing scenario analysis on the selected projects. To validate the proposed approach, we provide a case study from a high-end server manufacturing environment. Results can be used to enhance the decisions on selecting process improvement projects.
AB - Selection of process improvement initiatives can be a challenging task. Process improvement projects usually fall into the following categories: Lean, Six Sigma, Lean Six Sigma, Change Management, and Business Process Reengineering. The selection process of these projects is a multi-criteria decision making process which involves multiple conflicting objectives. In this study, we develop an optimization model to select process improvement projects taking into consideration resource availability, required skills, and budget constraints. In addition, discrete event simulation (DES) models are developed to evaluate some of the selected projects. The DES models account for the uncertainty in the system and allow for performing scenario analysis on the selected projects. To validate the proposed approach, we provide a case study from a high-end server manufacturing environment. Results can be used to enhance the decisions on selecting process improvement projects.
UR - http://www.scopus.com/inward/record.url?scp=85044512747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044512747&partnerID=8YFLogxK
U2 - 10.1109/WSC.2017.8248095
DO - 10.1109/WSC.2017.8248095
M3 - Conference contribution
AN - SCOPUS:85044512747
SP - 3840
EP - 3851
BT - 2017 Winter Simulation Conference, WSC 2017
A2 - Chan, Victor
PB - Institute of Electrical and Electronics Engineers Inc.
ER -