Facility layout simulation and optimization: An integration of advanced quality and decision making tools and techniques

32Citations
Citations of this article
107Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The purpose of this paper is to propose an integrated approach of simulation, fuzzy analytic hierarchy process and Quality Function Deployment (QFD) and Multiple Criteria Decision Making (MCDM) for facility layout design improvement and optimization. Computer simulation has been used to determine quantitative measures. Analytical Hierarchy Process (AHP) has also been used to determine the weight of qualitative measures for layout alternatives. Non equal weights have been derived with respect to the quantitative and qualitative criteria. QFD has been used to determine weights of criteria and the importance of the alternatives in relation to quantitative and qualitative measures. Finally, Topsis approach has been used for ranking the alternatives and identifying the best alternative. The results imply that the proposed methodology is more reliable compared to existing approaches. In addition, the methodology requires managers' concentration on Facility Layout Problem (FLP). This paper provides organizations a way to devise and refine adequate criteria and alleviate the risk of selecting optimal solutions.

Cite

CITATION STYLE

APA

Shahin, A., & Poormostafa, M. (2011). Facility layout simulation and optimization: An integration of advanced quality and decision making tools and techniques. Modern Applied Science, 5(4), 95–111. https://doi.org/10.5539/mas.v5n4p95

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free