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Location and quality selection for new facilities on a network market

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Abstract

In this paper, the problem of determining the location and quality of new facilities in a network market is analyzed. Customers make their choice according to an attraction function, which is directly proportional to the facility quality level and decreasing with respect to the distance between customers and facilities. In order to solve the location problem, both an integer linear program and an exact algorithm are proposed. These algorithms are embedded into a branch and bound-based algorithm for solving the joint location–quality problem. An illustrative example where customers present different distance perception is presented.

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References

  • B.O.C. (1994) Decreto 219/1994, de 28 de octrubre, no. 140, de 6 de noviembre

  • Benati S, Laporte G (1994) Tabu search algorithms for the \((r|X_{p})\)-medianoid and \((r|p)\)-centroid problems. Locat Sci 2(4):193–204

    Google Scholar 

  • Berman O, Krass D (2002) Locating multiple competitive facilities: spatial interaction models with variable expenditures. Ann Oper Res 111:197–225

    Article  Google Scholar 

  • Berman O, Krass D, Drezner Z (2003) The gradual covering decay location problem on a network. Eur J Oper Res 151:474–480

    Article  Google Scholar 

  • Berman O, Drezner Z, Krass D (2010) Generalized coverage: new developments in covering location models. Comput Oper Res 37:1675–1687

    Article  Google Scholar 

  • Chiang AC (2006) Fundamental methods of mathematical economics. McGraw-Hill, New York

    Google Scholar 

  • Dasci A, Eiselt HA, Laporte G (2002) On the \((r|X_{p})\)-medianoid problem on a network with vertex and edge demands. Ann Oper Res 111:271–278

    Article  Google Scholar 

  • Drezner T (1994a) Locating a single new facility among existing unequally attractive facilities. J Reg Sci 34(2):237–252

    Article  Google Scholar 

  • Drezner T (1994b) Optimal continuous location of a retail facility, facility attractiveness, and market share: an interactive model. J Retail 70(1):49–64

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Eiselt HA, Laporte G (1988a) Location of a new facility in the presence of weights. Asia-Pac J Oper Res 5:160–165

    Google Scholar 

  • Eiselt HA, Laporte G (1988b) Trading areas of facilities with different sizes. Rech Opérationnelle/Oper Res 22(1):33–44

    Google Scholar 

  • Eiselt HA, Laporte G (1989) The maximum capture problem in a weighted network. J Reg Sci 29(3):433–439

    Article  Google Scholar 

  • Eiselt HA, Laporte G (1996) Secuential location problems. Eur J Oper Res 96:217–231

    Article  Google Scholar 

  • Eiselt HA, Laporte G, Pederzoli G (1989) Optimal sizes of facilities on a linear market. Math Comput Model 12(1):97–103

    Article  Google Scholar 

  • Fotheringhan AS, O’Kelly ME (1989) Spatial interaction models: formulations and applications. Kluwer, Dordrecht

    Google Scholar 

  • Ghosh A, Craig CS (1983) Formulating retail location strategy in a changin environment. J Mark 47:56–68

    Article  Google Scholar 

  • Hakimi SL (1983) On locating new facilities in a competitive environment. Eur J Oper Res 12:29–35

    Article  Google Scholar 

  • Hansen P, Peeters D, Thisse JF (1995) The profit-maximizing Weber problem. Locat Sci 3(2):67–85

    Article  Google Scholar 

  • Hansen P, Peeters D, Thisse JF (1997) Facility location under zone pricing. J Reg Sci 37(1):1–22

    Article  Google Scholar 

  • Hooker JN, Garfinkel RS, Chen CK (1991) Finite dominating sets for network location problems. Oper Res 39(1):100–118

    Article  Google Scholar 

  • Horst R, Tuy H (1993) Global optimization, deterministic approaches, 2nd edn. Springer, Berlin

    Book  Google Scholar 

  • Huff DL (1964) Defining and estimating a trading area. J Mark 38:34–38

    Article  Google Scholar 

  • Peeters PH, Plastria F (1998) Discretization results for the Huff and Pareto-Huff competitive location models on networks. TOP 6(2):247–260

    Article  Google Scholar 

  • Pelegrín B, Suárez-Vega R, Cano S (2012) Isodistant points in competitive network facility location. TOP 20(3):639–660

    Google Scholar 

  • Plastria F (1992) GBSSS: the generalized big square small square method for planar single-facility location. Eur J Oper Res 62:163–174

    Article  Google Scholar 

  • Plastria F (1997) Profit maximising single competitive facility location in the plane. Stud Locat Anal 11:115–126

    Google Scholar 

  • Plastria F, Carrizosa E (2001) Locating and design of a competitive facility for profit maximisation. Optimization Online, http://www.optimization-online.org/DB_HTML/2003/01/591.html

  • Redondo, JL, Fernández, J, García, I, Ortigosa, PM (2009) Solving the multiple competitive facilities location and design problem on the plane. Evolut Computation 17(1): 21–53

    Google Scholar 

  • Reilly WJ (1929) Methods for study of retail relationship. University of Texas, Bureau of Business Research, Research Monograph, vol 4

  • ReVelle C (1986) The maximum capture or “ sphere of influence” location problem: Hotelling revisited on a network. J Reg Sci 26(2):343–358

    Article  Google Scholar 

  • Roy JR, Thill JC (1992) Competitive strategies for multi-establishment firms. Econ Geogr 68:290–309

    Article  Google Scholar 

  • Roy JR, Thill JC (1997) Multi-outlet firms, competition and market segmentation strategies. Reg Sci Urban Econ 27:67–86

    Article  Google Scholar 

  • Roy JR, Thill JC (2000) Network competition and branch differentiation with consumer heterogeneity. Ann Reg Sci 34:451–468

    Article  Google Scholar 

  • Roy JR, Thill JC (2004) Spatial interaction modeling. Papers Reg Sci 83:339–361

    Article  Google Scholar 

  • Sen A, Smith TE (1995) Gravity models of spatial interaction behavior. Springer, Berlin

    Book  Google Scholar 

  • Serra D, Colomé R (2001) Consumer choice and optimal locations models: formulations and heuristics. Paper Reg Sci 8(4):439–464

    Google Scholar 

  • Serra D, Marianov V, ReVelle C (1992) The maximum-capture hierarchical location problem. Eur J Oper Res 62:363–371

    Article  Google Scholar 

  • Serra D, ReVelle C (1995) Competitive location in discrete space. In: Drezner Z (ed) Facility location: a survey of applications and methods. Springer, Berlin, pp 367–386

    Chapter  Google Scholar 

  • Suárez-Vega R, Santos-Peñate DR, Dorta-González P (2004a) Competitive multifacility location on networks: the (\(r|X_{p}\))-medianoid problem. J Reg Sci 44(3):569–588

    Article  Google Scholar 

  • Suárez-Vega R, Santos-Peñate DR, Dorta-González P (2004b) Discretization and resolution of the (\(r|X_{p} \))-medianoid problem involving quality criteria. TOP 12(1):111–133

    Article  Google Scholar 

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Acknowledgments

Partially financed by the Ministerio de Educación y Ciencia and FEDER, grant MTM2005-09362.

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Correspondence to Rafael Suárez-Vega.

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Suárez-Vega, R., Santos-Peñate, D.R. & Dorta-González, P. Location and quality selection for new facilities on a network market. Ann Reg Sci 52, 537–560 (2014). https://doi.org/10.1007/s00168-014-0598-0

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  • DOI: https://doi.org/10.1007/s00168-014-0598-0

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