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A Web-Based Decision Support System for the Multiple Capacitated Facility Location Problem

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 184))

Abstract

The facility location problem is a widely studied classical operations research problem. To address this problem we implement an algorithm that calculates the exact solution for a given multiple capacitated facility location problem so long as that exists. Many issues of this problem belong to the NP-hard class of algorithms and as a result the computation time is disappointing for large networks. Therefore, we present a dynamic approximation algorithm for the solution of this problem that is capable to compute an approximation solution in an acceptable time interval. The aforementioned algorithms are integrated in a web-based Decision Support System (DSS). The DSS offers the possibility to create either a random or a custom graph and to evaluate both algorithms by performing alternative scenarios for the future development of the market. Finally, the DSS can export the results of the evaluation to a Microsoft Word document for further use.

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References

  1. Brandeau, M.L., Chiu, S.S.: An overview of representative problems in location research. Manag. Sci. 35(6), 645–674 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  2. Daskin, M.S.: Network and Discrete Location: Models, Algorithms, and Applications. Wiley, New York (1995)

    Book  MATH  Google Scholar 

  3. Drezner, Z., Hamacher, H.W.: Facility Location: Theory and Algorithms. Springer, Berlin (2001)

    Google Scholar 

  4. Marianov, V., Serra, D.: Location problems in the public sector. In: Drezner, Z., Hamacher, H.W. (eds.) Facility Location: Applications and Theory. Springer, Berlin (2002)

    Google Scholar 

  5. Melo, M., Nickel, S., Saldanha da Gama, F.: Facility location and supply chain management - a review. Eur. J. Oper. Res. 196(2), 401–412 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  6. Revelle, C., Eiselt, H., Daskin, M.S.: A bibliography for some fundamental problem categories in discrete location science. Eur. J. Oper. Res. 184(3), 817–848 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  7. Aboolian, R., Berman, O., Krass, D.: Competitive facility location and design problem. Eur. J. Oper. Res. 182(1), 40–62 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  8. Drezner, T., Drezner, Z., Salhi, S.: Solving the multiple competitive facilities location problem. Eur. J. Oper. Res. 142, 138–151 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Plastria, F.: Static competitive facility location: an overview of optimization approaches. Eur. J. Oper. Res. 129, 461–470 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  10. Aardal, K.: Capacitated facility location: separation algorithm and computational experience. Math. Program. 81, 149–175 (1998)

    MATH  MathSciNet  Google Scholar 

  11. Owen, S.H., Daskin, M.S.: Strategic facility location: a review. Eur. J. Oper. Res. 111, 423–447 (1998)

    Article  MATH  Google Scholar 

  12. Sridharan, R.: Invited review the capacitated plant location problem. Eur. J. Oper. Res. 87, 203–213 (1995)

    Article  MATH  Google Scholar 

  13. Avella, P., Boccia, M., Sforza, A., Vasilev, I.: An effective heuristic for large-scale capacitated facility location problems. J. Heuristics 15, 597–615 (2009)

    Article  MATH  Google Scholar 

  14. Beasley, J.E.: Lagrangean heuristics for location problems. Eur. J. Operat. Res. 65, 383–399 (1993)

    Article  MATH  Google Scholar 

  15. Chudak, F.A., Williamson, D.P.: Improved approximation algorithms for capacitated facility location problems. In: Cornuéjols, G., Burkard, R.E., Woeginger, G.J. (eds.) IPCO 1999. LNCS, vol. 1610, pp. 99–113. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  16. Cornuejols, G., Sridharan, R., Thizy, J.M.: A comparison of heuristics and relaxations for the capacitated plant location problem. Eur. J. Oper. Res. 50, 280–297 (1991)

    Article  MATH  Google Scholar 

  17. Korupolu, M., Plaxton, C., Rajaraman, R.: Analysis of a local search heuristic for facility location problems. J. Algorithms 37, 146–188 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  18. Kuehn, A.A., Hamburger, M.J.: A heuristic program for locating warehouses. Manag. Sci. 9, 643–666 (1963)

    Article  Google Scholar 

  19. Shonwiller, J., Harris, T.: Rural retail business thresholds and interdependencies. J. Reg. Sci. 21, 189–198 (1996)

    Google Scholar 

  20. Serra, D., Revelle, C., Rosing, K.: Surviving in a competitive spatial market: the threshold Capture Model. J. Reg. Sci. 4(39), 637–652 (1999)

    Article  Google Scholar 

  21. Shiode, S., Drezner, Z.: A competitive facility location problem on a tree network with stochastic weights. Eur. J. Oper. Res. 149, 47–52 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  22. Papathanasiou, J., Manos, B.: An approximation algorithm for the location of dairy enterprises under time constraints. Eur. J. Oper. Res. 182(3), 1479–1487 (2007)

    Article  MATH  Google Scholar 

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Correspondence to Nikolaos Ploskas .

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Papathanasiou, J., Ploskas, N., Samaras, N. (2014). A Web-Based Decision Support System for the Multiple Capacitated Facility Location Problem. In: Dargam, F., et al. Decision Support Systems III - Impact of Decision Support Systems for Global Environments. EWG-DSS EWG-DSS 2013 2013. Lecture Notes in Business Information Processing, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-319-11364-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-11364-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11363-0

  • Online ISBN: 978-3-319-11364-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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