A framework for selecting and evaluating process improvement projects using simulation and optimization techniques

Faisal Aqlan; Sreekanth Ramakrishnan; Lawrence Al-Fandi; Chanchal Saha

doi:10.1109/WSC.2017.8248095

A framework for selecting and evaluating process improvement projects using simulation and optimization techniques

Faisal Aqlan, Sreekanth Ramakrishnan, Lawrence Al-Fandi, Chanchal Saha

School of Engineering (Behrend)

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

4 Scopus citations

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	https://doi.org/10.1109/WSC.2017.8248095
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

All Science Journal Classification (ASJC) codes

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC.2017.8248095

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title = "A framework for selecting and evaluating process improvement projects using simulation and optimization techniques",

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.",

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Aqlan, F, Ramakrishnan, S, Al-Fandi, L & Saha, C 2018, A framework for selecting and evaluating process improvement projects using simulation and optimization techniques. in V Chan (ed.), 2017 Winter Simulation Conference, WSC 2017. Institute of Electrical and Electronics Engineers Inc., pp. 3840-3851, 2017 Winter Simulation Conference, WSC 2017, Las Vegas, United States, 12/3/17. https://doi.org/10.1109/WSC.2017.8248095

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

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