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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish (US)
Title of host publication2017 Winter Simulation Conference, WSC 2017
EditorsVictor Chan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3840-3851
Number of pages12
ISBN (Electronic)9781538634288
DOIs
StatePublished - Jan 4 2018
Event2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States
Duration: Dec 3 2017Dec 6 2017

Other

Other2017 Winter Simulation Conference, WSC 2017
CountryUnited States
CityLas Vegas
Period12/3/1712/6/17

Fingerprint

Process Improvement
Optimization Techniques
Discrete event simulation
Six Sigma
Discrete Event Simulation
Reengineering
Simulation
Simulation Model
Business Process Re-engineering
Scenario Analysis
Change Management
Budget Constraint
Multicriteria Decision-making
Multiple Objectives
Servers
Decision making
Optimization Model
Availability
Server
Manufacturing

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

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 (pp. 3840-3851). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8248095
Aqlan, Faisal ; Ramakrishnan, Sreekanth ; Al-Fandi, Lawrence ; Saha, Chanchal. / A framework for selecting and evaluating process improvement projects using simulation and optimization techniques. 2017 Winter Simulation Conference, WSC 2017. editor / Victor Chan. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 3840-3851
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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 proceedingConference contribution

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Aqlan F, Ramakrishnan S, Al-Fandi L, Saha C. A framework for selecting and evaluating process improvement projects using simulation and optimization techniques. In Chan V, editor, 2017 Winter Simulation Conference, WSC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 3840-3851 https://doi.org/10.1109/WSC.2017.8248095