Office location selection by fuzzy AHP and VIKOR

Tayfun Arar, Serhat Karaoğlan and Ceren Dirik

International Journal of Information and Decision Sciences, 2019, vol. 11, issue 1, 36-54

Abstract: In a globalised business world, reaching the basic goal of companies which is profit maximisation has become such competitive for both manufacturing and service firms. While reaching this basic goal, increasing income is not sufficient, but also minimising the costs is required. One of the long-term cost decisions, location selection, needs to be considered in detailed by business firms. Especially for a firm in service sector, there are other goals and responsibilities such as satisfying permanently changing needs and expectations of customers. As the wedding sector has a growing share in the economy, the choice of office location for companies operating in this sector has gained great importance. In the light of this purpose, there are some criteria determined in location selection decision for a business firm which operates in the wedding sector. In this research, the criteria used in office location selection have been chosen by literature review and experts' views. These criteria are weighted by fuzzy analytic hierarchy process (AHP). Then, using the weighted criteria, the best option among the alternative offices from different locations is chosen by Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique.

Keywords: office selection; location selection; wedding sector; fuzzy AHP; Vise Kriterijumska Optimizacija I Kompromisno Resenje; VIKOR. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=96645 (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:ijidsc:v:11:y:2019:i:1:p:36-54

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().