Integrated SA-DEA-TOPSIS-based solution approach for multi objective stochastic dynamic facility layout problem

Akash Tayal and Surya Prakash Singh

International Journal of Business and Systems Research, 2017, vol. 11, issue 1/2, 82-100

Abstract: Layout design often has a significant impact on the performance of a manufacturing industry. In the real world, a facility layout is subjected to various quantitative and qualitative conditions or criteria such as, total material handling cost, flow distance, closeness factor, maintenance etc. Researchers have devised various algorithmic and procedural methodologies for finding a layout that is applicable for practical scenarios. The paper proposes an integrated methodology of combining algorithmic (meta-heuristic) and procedural (decision-making) techniques to identify a layout that has the highest degree of satisfaction for all the criteria. A computer program was developed for simulated annealing. It was used to generate a set of layouts based on qualitative and quantitative aspect of facility layout problem for multiple time periods and uncertain product demand. DEA was applied to identify a subset of efficient layouts. TOPSIS was used to rank these layouts based on criteria and their weights as per expert's opinion.

Keywords: simulated annealing; data envelopment analysis; DEA; TOPSIS; facility layout problem; FLP; multi objective facility layout; stochastic dynamic facility layout; layout design; manufacturing industry; metaheuristics; decision making. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=80839 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:11:y:2017:i:1/2:p:82-100

Access Statistics for this article

More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().