Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

GIS BASED MULTI-CRITERIA DECISION ANALYSIS FOR INDUSTRIAL SITE SELECTION: THE STATE OF THE ART


DOI: 10.5937/jaes12-4938
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 12 article 293 pages: 197 - 206

Aleksandar Rikalovic 
Faculty of Technical Sciences, Novi Sad, Serbia

Ilija Cocic 
Faculty of Technical Sciences, Novi Sad, Serbia

Industrial site selection is one of the basic vital decisions in the start-up process, expansion or relocation of businesses of all kinds. Starting from the meeting criteria deined in the business strategy, site selection process begins as recognition of existing or projected need to meet new or growing market. Recognition of the need of new industrial location initiate a series of activities directed for looking geographical area and speciic location. Conquer new territories for business starts with collecting geopolitical data, where location is a part of it. The selection of an industrial site involves a complex array of critical factors involving economic, social, technical, environmental, political issues, etc. It is obvious that many factors must be involved in the decision-making process, which makes the problem challenging choice in the selection of appropriate tools to enable concentration data, information and analysis. New trends in information technologies put geo-information technology in the centre of events in industrial locations science. Geographic In- formation Systems (GIS) provides functionality to capture, store, query, and analyse geographic information, but that is not enough for multi criteria analysis and decision making. Recent development in GIS leads to dramatic improvement in multi-criteria decision analysis (MCDA) and decision making. This paper presents the state of the art in GIS based multi-criteria decision analysis for industrial site selection.

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Badri M.A. (2007), “Dimensions of Industrial Location Factors: Review and Exploration Jornal ofBusiness and public affair, Volume 1, Issue 2. pp. 1-26.


Bhatnagar, R., & Sohal, A.S. (2005), “Supply chain competitiveness: measuring the impact of location factors, uncertainty and manufacturing practices”, Technovation, Vol: 25, No:5, pp. 443-456.


Bolstad, P. (2002), GIS Fundamentals, Ei­der Press, Minnesota, USA.


Boroushaki S. and Malczewski J. (2008), „Implementing an extension of the analytical hierarchy process using Ordered Weighted Averaging Operators with Fuzzy Quantifiers in ArcGIS,“ Computers & Geosciences. Vol. 34 No. 4, pp. 399-410.


Chakhar S. and Mousseau V. (2008),”GIS-based multicriteria spatial modeling generic framework”, International Journal of Geo­graphical Information Science, Vol. 22, No.11-12, pp. 1159-1196.


Charungthanakij S. and Sarapirome S. (2010), “Land suitability assessment for industrial loca­tion development using MCDA.” In The 31st Asian Conference on Remote Sensing, pp. 1-5.


Drobne, Samo, Lisec, Anka, (2009), „Multi­attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging“, Informatica 33, pp. 459-474.


Eastman J. R. (2006), Idrisi Andes - Tutorial, Clark Labs., Clark University, Worcester, MA.


Eldin, N., & Sui, D. (2003), „A COM-based Spatial Decision Support System for Indus­trial Site Selection“, Journal of Geographic Information and Decision Analysis, Vol. 7, No.i2,ipp.i72i-i92.


Eldrandaly K., Eldin N., Sui D., Shouman M., & Nawara, G. (2005),” Integrating GIS and MCDM Using COM Technology”, The International Arab Journal of Information Technology,Vol. 2, No.2, pp. 162-167.


Florida R. (2002), The Rise of the Creative Class. The Washington Monthly, pp. 15-25.


Grimshaw D. J. (1996), Bringing Geographi­cal Information Systems into Business (2nd edition), Cambridge, GeoInformation Inter­national.


Goodchild, M., Haining, R., and Wise, S. (1992), ’’Integrating GIS and spatial data analysis:problems and possibilities”, Inter­national Journal of Geographical Information Systems, Vol. 6, pp. 407-423.


Keeney R.L (1992), Value-focused thinking: a path to creative decision making, Univer­sity Press, Cambridge.


Keeney R.L.(1980), Siting Energy Facilities, Academic Press, New York.


Kotler P.J., Haider D.H., Rein, I. (1993), Mar­keting places: Attracting investment, indus­try and tourism to cities, states and nations, Free Press, New York.


Nordstrom K.A., Ridderstrale, J. (2002), Funky business: Talent makes capital dance, Bookhouse Publishing, London.


[Malczewski J. (1999), GIS and Multicriteria Deci­sion Analysis, John Wiley & Sons, New York.


Malczewski J. (2000), „In the Use of Weighted Linear Combination Method in GIS: Common and Best Practice Approaches“, Transactions in GIS, Vol. 4, No.1, pp.5-22.


Malczewski J. (2004), “GIS-based land-use suitability analysis: a critical overview,”Progress in Planning, Vol.62, No.1, pp. 3-65.


Puskaric, H., Tadic, D., Misita, M., Stefanovic, M., Milanovic, D. (2013), „Evaluation of qual­ity goals at the process level in an uncertain environment”, Journal of Applied Engineer­ing, No. 1, Vol. 11, pp. 31-38


Rinner, C. and Malczewski, J. (2002), „Webenabled spatial decision analysis using ordered weighted averaging (OWA)“, Journal of Geo­graphical Systems Vol. 4, No.4, pp. 385-403.


Rinner C., Voss S. (2013), “MCDA4ArcMap - An Open-Source Multi-Criteria Decision Analy­sis and Geovisualization Tool for ArcGIS 10”, Feature Article, Cartouche, Newsletter of the Canadiani Cartographici Association,i Numberi 86, Winter/Spring, pp.12-13.


Rikalovic A., Cosic I., Lazarevic Dj. (2014), “GIS Based Multi-Criteria Analysis for Indus­trial Site Selection”, 24th DAAAM International Symposium on Intelligent Manufactur­ing and Automation, Procedia Engineering 69, pp.1054 1063.


Reisi M., Aye L., Soffianian A., (2011), “Industrial site selection by GIS in Isfahan,” 19th Iran Inter­national Conference on Geoinformatics.


Williams, E.A., Massa, A.K. (1983), Siting of Major Facilities: A Practical Approach, McGraw-Hill, New York.


Worral L. (1991), Spatial Analysis and Spatial Policy using Geographic Information Systems, Belhaven Press, London.


Yager R. R. (1988), „On ordered weighted averag­ing aggregation operators in multi-criteria decision making“IEEE Transactions on Systems, Man and Cybernetics, Vol.18, No.1, pp. 183-190.


Zelenovic D. (2003), Production systems design, Faculty of Technical Sciences, Novi Sad.