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

Authors: Akash Tayal; Surya Prakash Singh

Addresses: Department of Electronics and Communication, Indira Gandhi Delhi Technical University for Women, Delhi, India ' Department of Management Studies, Indian Institute of Technology, Delhi, India

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.

DOI: 10.1504/IJBSR.2017.080839

International Journal of Business and Systems Research, 2017 Vol.11 No.1/2, pp.82 - 100

Received: 02 Jun 2015
Accepted: 12 Nov 2015

Published online: 09 Dec 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article