Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5820
Title: Locating post offices using fuzzy goal programming and geographical information system (GIS)
Authors: Zarandi, Mohammad Hossein Fazel
Davari, Soheil
Hamidifar, M.
Türkşen, İsmail Burhan
Keywords: Covering location problem
Facility location
Fuzzy goal programming
GIS
Post office
Issue Date: 2011
Source: 17th Americas Conference on Information Systems 2011, AMCIS 2011, 4 August 2011 through 8 August 2011, Detroit, MI, 92985
Abstract: This paper deals with the problem of locating new post offices in a megacity. To do so, a combination of geographical information system (GIS) and fuzzy goal programming (FGP) is used. In order to locate new offices, first six types of service facilities with high levels of interactions with post offices are defined. Then, aspiration level of proximity for each service facility is determined. Based on these values, a fuzzy goal programming model is constructed to find potential locations of facilities. In order to determine the optimal locations among potential facilities, a maximal covering location problem (MCLP) is solved and results are reported. Results show that although the current state is near-optimal, for future expansions of the network, the government should spend money on central and southern parts of this megacity.
URI: https://hdl.handle.net/20.500.11851/5820
ISBN: 9781618390981
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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