Spatial analysis of logistics center location: A comprehensive approach

Authors

  • Aleksandar Rikalović University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Management, Novi Sad, Serbia
  • Gerson Antunes Soares Universidade Luterana do Brasil, Department of Computer Science, Rio Grande do Sul, Brazil
  • Jelena Ignjatić Urban Institute of Vojvodina, Novi Sad, Serbia

DOI:

https://doi.org/10.31181/dmame180138r

Keywords:

Geographic Information Systems, Location Analysis, Logistic Center, Spatial Analysis, Spatial Data Mining, SWOT Analysis key

Abstract

To select a suitable logistic center (LC) location it is necessary to do a comprehensive spatial analysis. Geographic information systems (GIS) are ideal for this type of spatial analysis which provides functionality to capture, store, and query, as well as analyze geographic information. The paper presents novel methodology for a LC location analysis based on GIS and SWOT analyses. The proposed method uses a GIS for data collection, spatial analysis, generating alternatives, and producing maps for further analysis. We used the GIS to support decision-making and for an analysis of the location attributes, including a number of relevant factors, namely spatial position, intermodal connections (road, water, air and rail transport), the size of the available location, topography, local traffic connections, environment, ecological aspect of the location, ownership structure, equipment of communal infrastructure, constraints in the area, etc. We used the SWOT analysis to determine strengths, weaknesses, opportunities, and threats of the local area for attracting capital, knowledge and innovation. Experimental results on real-world problems, i.e., application of the proposed comprehensive methodology in a case study of a location analysis for the logistic center in the Municipality of Apatin, Vojvodina, Serbia, show that the proposed methodology provides upstanding results in the spatial analysis.

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References

***(2009). Strategy of sustainable development of Apatin Municipality 2009-2019 (Only in Serbian: Strategija održivog razvoja opštine Apatin 2009-2019). Apatin Municipality, Serbia.

Awasthi, A., Chauhan, S., & Goyal, S. (2011). A multi-criteria decision making approach for location planning for urban distribution center sunder uncertainty. Mathematical and Computer Modelling, 53, 98–109.

Beaumont, J. R. (2000). GIS and Market Analysis. Geographical Information Systems – Principles and Application, New York: Longman Scientific & Technical and Wiley.

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

CSCMP. (2012). Supply Chain Management Definitions. Available online at: http://cscmp.org/aboutcscmp/definitions.asp.

ECMT. (1996). Report of the hundred and fourth round table on transport economics held in Paris on the following topic: New trends in logistics in Europe.

Farahani, R. Z., & Hekmatfar, M. (2009). Facility Location: Concepts, Models, Algorithms and Case Studies. Heidelberg: Physica-Verlag.

Gao, M., & Dong, M. (2012). Analysis of Logistics Center Location-Selecting Based on GIS-Take Li County as an Example. Advanced Materials Research, 569, 804–807.

Kayikci, Y. (2010). A conceptual model for intermodal freight logistics center location decisions. Procedia Social and Behavioral Sciences, 2, 6297-6311.

Klose,A., & Drexl, A. (2005). Facility location models for distribution system design. European Journal of Operational Research, 162(1), 4-29.

Lee, K. L., Huang, W.C., & Teng, J. Y. (2009). Locating the competitive relation of global logistics hub using quantitative SWOT analytical method. Quality and Quantity, 43(1): 87–107.

Lium, A-G., Crainic, T. G., & Wallace, S.W. (2009). A Study of Demand Stochasticity in Service Network Design. Transportation Science, 43(2), 144–157.

Owen, S., & Daskin, M. (1998). Strategic facility location: A review. European Journal of Operational Research, 111, 423 – 447.

Özcan, T., Çelebi, N., & Esnaf, S. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38, 9773-9779.

Pašagić-Škrinjar, J., Rogić, K., & Stanković, R. (2012). Location of Urban Logistic Terminals as Hub Location Problem, Promet – Traffic & Transportation, 25(5), 433-440.

Rikalović, A., Ćosić, I., & Lazarević Dj. (2014). The role of GIS in industrial location analysis. Proceedings of the XVI International Scientific Conference on Industrial Systems (IS'14). Available online at: http://www.iim.ftn.uns.ac.rs/conferences/is14/.

Rushton, A., Craucher, P., & Baker, P. (2006). The Handbook of Logistics and Distribution Management. London – Philadelphia: Kogan Page.

Stevenson, W. J. (1993). Production/operations management, 4th edn. Homewood: Richard D. Irwin Inc.

Thai, V., & Grewal, D. (2005). Selecting the Location of Distribution Centre in Logistics Operations: A Conceptual Framework and Case Study. Asia Pacific Journal of Marketing and Logistics, 17(3), 3-24.

World Bank. (2008). Doing Business 2008, Available online at: www.worldbank.org.

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

Żak, J., & Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555 – 564.

Zelenović, D. (2003). The Design of Production Systems, 2nd ed., Novi Sad (Serbia): Faculty of Technical Sciences.

Published

2018-03-15

How to Cite

Rikalović, A., Soares, G. A., & Ignjatić, J. (2018). Spatial analysis of logistics center location: A comprehensive approach. Decision Making: Applications in Management and Engineering, 1(1), 38–50. https://doi.org/10.31181/dmame180138r