<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10012212" mdate="2021-10-05 00:00:00"> <author>C. Ardil</author> <title>Facility Location Selection using Preference Programming</title> <pages>1 - 12</pages> <year>2020</year> <volume>14</volume> <number>1</number> <journal>International Journal of Industrial and Systems Engineering</journal> <ee>https://publications.waset.org/pdf/10012212</ee> <url>https://publications.waset.org/vol/157</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper presents preference programming technique based multiple criteria decision making analysis for selecting a facility location for a new organization or expansion of an existing facility which is of vital importance for a decision support system and strategic planning process. The implementation of decision support systems is considered crucial to sustain competitive advantage and profitability persistence in turbulent environment. As an effective strategic management and decision making is necessary, multiple criteria decision making analysis supports the decision makers to formulate and implement the right strategy. The investment cost associated with acquiring the property and facility construction makes the facility location selection problem a longterm strategic investment decision, which rationalize the best location selection which results in higher economic benefits through increased productivity and optimal distribution network. Selecting the proper facility location from a given set of alternatives is a difficult task, as many potential qualitative and quantitative multiple conflicting criteria are to be considered. This paper solves a facility location selection problem using preference programming, which is an effective multiple criteria decision making analysis tool applied to deal with complex decision problems in the operational research environment. The ranking results of preference programming are compared with WSM, TOPSIS and VIKOR methods.</abstract> <index>Open Science Index 157, 2020</index> </article>