LORE, A Decision Support Tool for Location, Routing and Location-Routing Problems

  • Rui Borges Lopes
  • Carlos Ferreira
  • Beatriz Sousa Santos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9855)

Abstract

LOcation Routing Exploration (LORE) is a decision support tool for addressing location, routing and location-routing problems. In this paper the LORE tool will be presented, and its main characteristics addressed. Among the main features of the tool is the ability to support a variety of problems currently being studied in the location and routing literature (due to the proposed data structure), and the graphical user interface (GUI). The data structure will be presented being provided an explanation on how it can support related problems. The GUI main goal is not only to aid the solution-finding process but also to foster greater insight into the problem(s) at hand. To that extent, the GUI, developed to fit the target user’s profile and intended tasks, is presented, namely data input and visualization features.

References

  1. 1.
    Ambrosino, D., Scutellà, M.G.: Distribution network design: new problems and related models. Eur. J. Oper. Res. 165, 610–624 (2005)CrossRefMATHMathSciNetGoogle Scholar
  2. 2.
    Bookbinder, J.H.: Global Logistics. Transp. Res. E 41, 461–466 (2005)CrossRefGoogle Scholar
  3. 3.
    Chevalier, P., Thomas, I., Geraets, D., Goetghebeur, E., Janssens, O., Peeters, D., Plastria, F.: Locating fire stations: an integrated approach for Belgium. Socio-Econ. Plann. Sci. 46, 173–182 (2012)CrossRefGoogle Scholar
  4. 4.
    Coutinho-Rodrigues, J., Current, J., Clímaco, J., Ratick, S.: Interactive spatial decision-support system for multiobjective hazardous materials location-routing problems. Transp. Res. Rec. 1602, 101–109 (1997)CrossRefGoogle Scholar
  5. 5.
    Demis: Demis products: Web Map Server (2013). http://www.demis.nl/home/pages/wms/demiswms.htm
  6. 6.
    Dix, A., Finlay, J., Abowd, G., Beale, R.: Human-Computer Interaction. Prentice Hall, New Jersey (2004)MATHGoogle Scholar
  7. 7.
    Eksioglu, B., Vural, A.V., Reisman, A.: The vehicle routing problem: a taxonomic review. Comput. Ind. Eng. 57, 1472–1483 (2009)CrossRefGoogle Scholar
  8. 8.
    Eom, S.B., Kim, E.B.: A survey of decision support system applications (1995–2001). J. Oper. Res. Soc. 57, 1264–1278 (2006)CrossRefMATHGoogle Scholar
  9. 9.
    Fu, C., Wang, Y., Xu, Y., Li, Q.: The logistics network system based on the Google Maps API. In: International Conference on Logistics Systems and Intelligent Management, pp. 1486–1489 (2010)Google Scholar
  10. 10.
    Gorr, W.L., Johnson, M.P., Roehrig, S.F.: Spatial decision support system for home-delivered services. J. Geogr. Syst. 3, 181–197 (2001)CrossRefGoogle Scholar
  11. 11.
    Hosack, B., Hall, D., Paradice, D., Courtney, J.F.: A look toward the future: decision support systems research is alive and well. J. Assoc. Inf. Syst. 13, 315–340 (2012)Google Scholar
  12. 12.
    Liu, S., Duffy, A.H.B., Whitfield, R.I., Boyle, I.M.: Integration of decision support systems to improve decision support performance. Knowl. Inf. Syst. 22, 261–286 (2010)CrossRefGoogle Scholar
  13. 13.
    Lopes, R.B.: Location-routing problems of semi-obnoxious facilities: approaches and decision support. Ph.D. thesis. University of Aveiro, Portugal (2011)Google Scholar
  14. 14.
    Lopes, R.B., Barreto, S., Ferreira, C., Santos, B.S.: A decision-support tool for a capacitated location-routing problem. Decis. Support Syst. 46, 366–375 (2008)CrossRefGoogle Scholar
  15. 15.
    Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S.: A taxonomical analysis, current methods and objectives on location-routing problems. Int. Trans. Oper. Res. 20, 795–822 (2013)MATHMathSciNetGoogle Scholar
  16. 16.
    Melo, M.T., Nickel, S., Saldanha-da-Gama, F.: Facility location and supply chain management - a review. Eur. J. Oper. Res. 196, 401–412 (2009)CrossRefMATHMathSciNetGoogle Scholar
  17. 17.
    Mendoza, J.E., Medaglia, A.L., Velasco, N.: An evolutionary-based decision support system for vehicle routing: the case of a public utility. Decis. Support Syst. 46, 730–742 (2009)CrossRefGoogle Scholar
  18. 18.
    Microsoft: Design applications for the Windows desktop (2015). https://dev.windows.com/en-us/desktop/design
  19. 19.
    Nagy, G., Salhi, S.: Location-routing: issues, models and methods. Eur. J. Oper. Res. 177, 649–672 (2007)CrossRefMATHMathSciNetGoogle Scholar
  20. 20.
    Ocalir, E.V., Ercoskun, O.Y., Tur, R.: An integrated model of GIS and fuzzy logic (FMOTS) for location decisions of taxicab stands. Expert Syst. Appl. 37, 4892–4901 (2010)CrossRefGoogle Scholar
  21. 21.
    Open Geospatial Consortium: Web map service (2013). http://www.opengeospatial.org/standards/wms
  22. 22.
    Santos, L., Coutinho-Rodrigues, J., Antunes, C.H.: A web spatial decision support system for vehicle routing using Google Maps. Decis. Support Syst. 51, 1–9 (2011)CrossRefGoogle Scholar
  23. 23.
    Rushton, A., Croucher, P., Baker, P.: The Handbook of Logistics and Distribution Management. Kogan Page, London (2014)Google Scholar
  24. 24.
    Sharp, H., Rogers, Y., Preece, J.: Interaction Design: Beyond Human-Computer Interaction. Wiley, Chichester (2007)Google Scholar
  25. 25.
    Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decis. Support Syst. 33, 111–126 (2002)CrossRefGoogle Scholar
  26. 26.
    Teo, C.P., Shu, J.: Warehouse-retailer network design problem. Oper. Res. 52, 396–408 (2004)CrossRefMATHMathSciNetGoogle Scholar
  27. 27.
    Wyke, R.A., Leupen, B., Rehman, S.: XML Programming. Microsoft Press, Redmond (2002)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Rui Borges Lopes
    • 1
  • Carlos Ferreira
    • 2
  • Beatriz Sousa Santos
    • 3
  1. 1.DEGEIT/CIDMAUniversity of AveiroAveiroPortugal
  2. 2.DEGEIT/IEETAUniversity of AveiroAveiroPortugal
  3. 3.DETI/IEETAUniversity of AveiroAveiroPortugal

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