QuIS: The Question of Intelligent Site Selection

Site selection is one of the most important decisions to be made by companies. Such a decision depends on various factors of sites, including socio-economic, geographical, ecological, as well as specific requirements of companies. The existing approaches for site selection are manual, subjective, and not scalable. The paper presents the new approach QuIS for site selection, which is automatic, scalable, and more effective than existing state-of-the-art methods. It impartially finds suitables site based on analyzing decisive data of all location factors in both time and space. Another highlight of the proposed method is that the recommendations are supported by explanations, i.e., why something was suggested. To assess the effectiveness of the presented method, a case study on site selection of supermarkets in Germany is performed using real data of more than 200 location factors for 11.162 sites. Evaluation results show that there is a big coverage (86.4 %) between the sites of existing supermarkets selected by economists and the sites recommended by the presented method. In addition, the method also recommends many sites (328) where it is benefial to open a new supermarket. Furthermore, new decisive location factors are revealed, which have an impact on the existence of supermarkets.

[1]  Gülfem Tuzkaya,et al.  An analytic network process approach for locating undesirable facilities: an example from Istanbul, Turkey. , 2008, Journal of environmental management.

[2]  A. Sohal,et al.  Supply chain competitiveness: measuring the impact of location factors, uncertainty and manufacturin , 2005 .

[3]  Pece V. Gorsevski,et al.  Regional non-hazardous landfill site selection by integrating fuzzy logic, AHP and geographic information systems , 2012, Environmental Earth Sciences.

[4]  Tugba Efendigil,et al.  A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey , 2010, Expert Syst. Appl..

[5]  Standortentscheidungen im Handel: Möglichkeiten und Grenzen von Gravitationsmodellen , 2000 .

[6]  Nazli Yonca Aydin,et al.  GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey , 2013 .

[7]  Rex Acton,et al.  The Design of Production Systems , 1968 .

[8]  Gholam R. Amin,et al.  Railway station site selection using analytical hierarchy process and data envelopment analysis , 2010, Comput. Ind. Eng..

[9]  Wilhelm Launhardt,et al.  Mathematische Begründung der Volkswirthschaftslehre , 1963 .

[10]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[11]  Aleksandar Rikalovic,et al.  A Fuzzy Expert System for Industrial Location Factor Analysis , 2015 .

[12]  H. Liebmann.  Grundlagen betriebswirtschaftlicher Standortentscheidungen , 1969 .

[13]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[14]  John P. Blair,et al.  Major Factors in Industrial Location: A Review , 1987 .

[15]  Yoon Ho Cho,et al.  Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations , 2010, Inf. Sci..

[16]  Abbas Alimohammadi,et al.  Hospital site selection using fuzzy AHP and its derivatives. , 2009, Journal of environmental management.

[17]  Abbas Amini,et al.  A Multi-criteria Group Decision Making Approach for Rural Industrial Site Selection Using Fuzzy TOPSIS in Central Iran , 2015 .

[18]  Oswald Marinoni,et al.  A stochastic spatial decision support system based on PROMETHEE , 2005, Int. J. Geogr. Inf. Sci..

[19]  Gediminas Adomavicius,et al.  Incorporating contextual information in recommender systems using a multidimensional approach , 2005, TOIS.

[20]  J. Carod.  Determinants of industrial location: An application for Catalan municipalities* , 2005 .

[21]  Herbert Woratschek,et al.  Dienstleistungsmanagement und Standortentscheidungen im internationalen Kontext — Möglichkeiten und Grenzen des Einsatzes betriebswirtschaftlicher Verfahren , 2004 .

[22]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[23]  M. Hosseinpour.  An intelligent fuzzy-based recommendation system for consumer electronic products , 2022 .

[24]  Bertrand Mareschal,et al.  Prométhée: a new family of outranking methods in multicriteria analysis , 1984 .

[25]  Mevlut Uyan.  GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey , 2013 .

[26]  D. Wise,et al.  A CONDITIONAL PROBIT MODEL FOR QUALITATIVE CHOICE: DISCRETE DECISIONS RECOGNIZING INTERDEPENDENCE AND HETEROGENEOUS PREFERENCES' , 1978 .

[27]  Xinyue Ye,et al.  A group-based spatial decision support system for wind farm site selection in Northwest Ohio , 2013 .

[28]  Nasrin Asgari,et al.  Multiple criteria facility location problems: A survey , 2010 .

[29]  Harald Strotmann.  Entrepreneurial Survival , 2007 .

[30]  R. J. Kuo,et al.  A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network , 2002, Comput. Ind..

[31]  Christine W. Chan,et al.  USING MULTIPLE CRITERIA DECISION ANALYSIS FOR SUPPORTING DECISIONS OF SOLID WASTE MANAGEMENT , 2002, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

[32]  Victor Cavaleiro,et al.  Application of GIS-based multi-criteria analysis for site selection of aquifer recharge with reclaimed water , 2011 .

[33]  Thomas Glatte.  Location Strategies: Methods and their methodological limitations , 2015 .

[34]  Josep-Maria Arauzo-Carod,et al.  Empirical Studies in Industrial Location: An Assessment of Their Methods and Results , 2009 .

[35]  Unternehmerische Standortplanung und regionale Wirtschaftsförderung : eine empirische Analyse des Standortverhaltens industrieller Großunternehmen , 1983 .

[36]  Alexander Felfernig,et al.  Constraint-based recommender systems: technologies and research issues , 2008, ICEC.

[37]  H. Greiner.  Standortbewertung im Einzelhandel — Organisation und Durchführung der Standortselektion am Beispiel der REWE-Gruppe , 1997 .

[38]  M. Badri.  Dimensions of Industrial Location Factors : Review and Exploration , 2007 .

[39]  A. Assaf,et al.  Attracting international hotels: Locational factors that matter most , 2015 .

[40]  Juan Manuel Cueva Lovelle,et al.  Implicit feedback techniques on recommender systems applied to electronic books , 2012, Comput. Hum. Behav..

[41]  Z. Srdjevic,et al.  GIS and the Analytic Hierarchy Process for Regional Landfill Site Selection in Transitional Countries: A Case Study From Serbia , 2012, Environmental Management.

[42]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[43]  Risto Lahdelma,et al.  Comparing multicriteria methods in the context of environmental problems , 1998 .

[44]  C. Hwang,et al.  TOPSIS for MODM , 1994 .

[45]  A. Weber,et al.  Alfred Weber's Theory of the Location of Industries , 1930 .

[46]  Patrick T. Hester,et al.  An Analysis of Multi-Criteria Decision Making Methods , 2013 .

[47]  Stephen J. Carver,et al.  Integrating multi-criteria evaluation with geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[48]  J. McMillan.  Why Manufacturers Choose Plant Locations vs. Determinants of Plant Locations , 1965 .