Location and quality selection for new facilities on a network market
详细信息    查看全文
  • 作者:Rafael Suárez-Vega (1)
    Dolores R. Santos-Pe?ate (1)
    Pablo Dorta-González (1)
  • 关键词:C61 ; L13
  • 刊名:The Annals of Regional Science
  • 出版年:2014
  • 出版时间:March 2014
  • 年:2014
  • 卷:52
  • 期:2
  • 页码:537-560
  • 全文大小:
  • 参考文献:1. B.O.C. (1994) Decreto 219/1994, de 28 de octrubre, no. 140, de 6 de noviembre
    2. Benati S, Laporte G (1994) Tabu search algorithms for the \((r|X_{p})\) -medianoid and \((r|p)\) -centroid problems. Locat Sci 2(4):193-04
    3. Berman O, Krass D (2002) Locating multiple competitive facilities: spatial interaction models with variable expenditures. Ann Oper Res 111:197-25 CrossRef
    4. Berman O, Krass D, Drezner Z (2003) The gradual covering decay location problem on a network. Eur J Oper Res 151:474-80 CrossRef
    5. Berman O, Drezner Z, Krass D (2010) Generalized coverage: new developments in covering location models. Comput Oper Res 37:1675-687 CrossRef
    6. Chiang AC (2006) Fundamental methods of mathematical economics. McGraw-Hill, New York
    7. 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 111:271-78 CrossRef
    8. Drezner T (1994a) Locating a single new facility among existing unequally attractive facilities. J Reg Sci 34(2):237-52 CrossRef
    9. Drezner T (1994b) Optimal continuous location of a retail facility, facility attractiveness, and market share: an interactive model. J Retail 70(1):49-4 CrossRef
    10. Drezner T, Drezner Z, Salhi Z (2002) Solving the multiple competitive facilities location problem. Eur J Oper Res 142:138-51 CrossRef
    11. Eiselt HA, Laporte G (1988a) Location of a new facility in the presence of weights. Asia-Pac J Oper Res 5:160-65
    12. Eiselt HA, Laporte G (1988b) Trading areas of facilities with different sizes. Rech Opérationnelle/Oper Res 22(1):33-4
    13. Eiselt HA, Laporte G (1989) The maximum capture problem in a weighted network. J Reg Sci 29(3):433-39 CrossRef
    14. Eiselt HA, Laporte G (1996) Secuential location problems. Eur J Oper Res 96:217-31 CrossRef
    15. Eiselt HA, Laporte G, Pederzoli G (1989) Optimal sizes of facilities on a linear market. Math Comput Model 12(1):97-03 CrossRef
    16. Fotheringhan AS, O’Kelly ME (1989) Spatial interaction models: formulations and applications. Kluwer, Dordrecht
    17. Ghosh A, Craig CS (1983) Formulating retail location strategy in a changin environment. J Mark 47:56-8 CrossRef
    18. Hakimi SL (1983) On locating new facilities in a competitive environment. Eur J Oper Res 12:29-5 CrossRef
    19. Hansen P, Peeters D, Thisse JF (1995) The profit-maximizing Weber problem. Locat Sci 3(2):67-5 CrossRef
    20. Hansen P, Peeters D, Thisse JF (1997) Facility location under zone pricing. J Reg Sci 37(1):1-2 CrossRef
    21. Hooker JN, Garfinkel RS, Chen CK (1991) Finite dominating sets for network location problems. Oper Res 39(1):100-18 CrossRef
    22. Horst R, Tuy H (1993) Global optimization, deterministic approaches, 2nd edn. Springer, Berlin CrossRef
    23. Huff DL (1964) Defining and estimating a trading area. J Mark 38:34-8 CrossRef
    24. Peeters PH, Plastria F (1998) Discretization results for the Huff and Pareto-Huff competitive location models on networks. TOP 6(2):247-60 CrossRef
    25. Pelegrín B, Suárez-Vega R, Cano S (2012) Isodistant points in competitive network facility location. TOP 20(3):639-60
    26. Plastria F (1992) GBSSS: the generalized big square small square method for planar single-facility location. Eur J Oper Res 62:163-74 CrossRef
    27. Plastria F (1997) Profit maximising single competitive facility location in the plane. Stud Locat Anal 11:115-26
    28. 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
    29. 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): 21-3
    30. Reilly WJ (1929) Methods for study of retail relationship. University of Texas, Bureau of Business Research, Research Monograph, vol 4
    31. ReVelle C (1986) The maximum capture or -sphere of influence-location problem: Hotelling revisited on a network. J Reg Sci 26(2):343-58 CrossRef
    32. Roy JR, Thill JC (1992) Competitive strategies for multi-establishment firms. Econ Geogr 68:290-09 CrossRef
    33. Roy JR, Thill JC (1997) Multi-outlet firms, competition and market segmentation strategies. Reg Sci Urban Econ 27:67-6 CrossRef
    34. Roy JR, Thill JC (2000) Network competition and branch differentiation with consumer heterogeneity. Ann Reg Sci 34:451-68 CrossRef
    35. Roy JR, Thill JC (2004) Spatial interaction modeling. Papers Reg Sci 83:339-61 CrossRef
    36. Sen A, Smith TE (1995) Gravity models of spatial interaction behavior. Springer, Berlin CrossRef
    37. Serra D, Colomé R (2001) Consumer choice and optimal locations models: formulations and heuristics. Paper Reg Sci 8(4):439-64
    38. Serra D, Marianov V, ReVelle C (1992) The maximum-capture hierarchical location problem. Eur J Oper Res 62:363-71 CrossRef
    39. 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 367-86 CrossRef
    40. Suárez-Vega R, Santos-Pe?ate DR, Dorta-González P (2004a) Competitive multifacility location on networks: the ( \(r|X_{p}\) )-medianoid problem. J Reg Sci 44(3):569-88 CrossRef
    41. Suárez-Vega R, Santos-Pe?ate DR, Dorta-González P (2004b) Discretization and resolution of the ( \(r|X_{p} \) )-medianoid problem involving quality criteria. TOP 12(1):111-33 CrossRef
  • 作者单位:Rafael Suárez-Vega (1)
    Dolores R. Santos-Pe?ate (1)
    Pablo Dorta-González (1)

    1. Departamento de Métodos Cuantitativos en Economía y Gestión e Instituto Universitario de Turismo y Desarrollo Enonómico Sostenible (Tides), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
  • ISSN:1432-0592
文摘
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.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700