A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a rea

  • PDF / 969,059 Bytes
  • 12 Pages / 595.276 x 790.866 pts Page_size
  • 76 Downloads / 156 Views

DOWNLOAD

REPORT


RESEARCH ARTICLE

A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul Ertugrul Ayyildiz 1

&

Alev Taskin Gumus 1

Received: 23 April 2020 / Accepted: 8 June 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract The petrol station location selection problem is taken into consideration in this study. In order to identify the main and sub-criteria for evaluation, the literature is reviewed and five experts from different companies are interviewed. After that, thirteen different alternative locations are for specified to evaluation. Then, the novel spherical fuzzy AHP-integrated spherical WASPAS methodology is structured in a fuzzy environment, and the petrol station location selection problem is evaluated with this methodology. In this study, a real application is presented for Istanbul to show the applicability of the proposed methodology. Subsequently, a sensitivity analysis is performed to explain and analyze the proposed methodology results. Finally, the results are presented and discussed with future directions. Keywords Location selection . Petrol station . Spherical fuzzy . AHP . WASPAS

Introduction and related studies Researchers, theoreticians and practitioners have focused on facility location selection problem and its extension over the years (Chabuk et al. 2019; M. Eskandari et al. 2015; Mahnaz Eskandari et al. 2016; Gwak et al. 2017; Man et al. 2020; Tuzkaya et al. 2008). Facilities are located at the most appropriate locations to minimize or maximize objective considering several constraint sets (Aragonés-Beltrán et al. 2010; Dey and Ramcharan 2008; Koc et al. 2019; Solangi et al. 2019; Soroudi et al. 2018; Vahidnia et al. 2009). Researchers handle and solve this problem by developing different decision support models such as optimization, multicriteria decision-making, etc. The number of applications of this problem for the public and private sectors is increasing day by day.

Responsible editor: Marcus Schulz * Ertugrul Ayyildiz [email protected] Alev Taskin Gumus [email protected] 1

Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey

The petrol station location selection problem is one of the facility location selection problem application areas. The usage of petrol increases every day with the rapid development of the economy when focusing on the petrol market. Petrol is used for transportation, energy, etc. Petrol can be classified as white, black, and aviation fuel in the oil refining and distribution sector. White products are generally used in motor vehicles, black products are used in heating and industry. White petrol is usually supplied by petrol stations and used for transportation. In this context, meeting customer demand is very important for the petrol market; therefore, petrol station location selection plays a key role. The most important decision to be made by the petrol station investor is determining the location of the facil