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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 8341617, 10 pages
http://dx.doi.org/10.1155/2016/8341617
Research Article

A Multicriteria Approach for the Optimal Location of Gasoline Stations Being Transformed as Self-Service in Taiwan

1Department of Industrial and Business Management, Chang Gung University, 259 Wenhua 1st Road, Guishan District, Taoyuan 333, Taiwan
2Graduate Institute of Business and Management, Chang Gung University, 259 Wenhua 1st Road, Guishan District, Taoyuan 333, Taiwan

Received 7 October 2015; Revised 27 February 2016; Accepted 17 March 2016

Academic Editor: Zhen-Lai Han

Copyright © 2016 Sheng-Pen Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Location selection significantly influences business success. In particular, location selection for the fuel stations is characterized by constraints on investment in facilities and by criteria that involve a series of social utilities. Recently, a leading fuel company in Taiwan initiated transforming its traditional gas stations into self-service. However, it is difficult to select an existing station to be transformed as self-service because there are many conflicting goals in the problem of location selection. In this paper, we apply a multicriteria approach, integrating analytic hierarchy process (AHP) and multichoice goal programming (MCGP), to obtain an appropriate gas station from many alternative locations that best suit the preferences of decision-makers in the case company. This study incorporates the weights obtained from AHP to set multiple aspirations in MCGP for ranking each candidate location. The results show that, under multiple quantitative and qualitative factors in the selection process, our proposed model is more scientific and efficient than unaided methods in finding a suitable location within a shorter evaluation time.