Research Article
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Facility Location Using Maximum Covering Model: An Application In Retail Sector

Year 2012, Volume: 16 Issue: 1, 24 - 30, 01.06.2012

Abstract

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References

  • Applebaum, W., “The Analog Method for Estimating Potential Store Sales in Guide to Store Location Research” , Curt Kornblau(Ed.), Addison-Wesley Publishing Company, Massachusetts, USA, 1968.
  • Ghosh, A., McLafferty, S. L. “Location strategies for retail and service firms”, Lexington Books, 978- 0669120325, Lexington, 1987.
  • Reilly, W. J., “The law of retail gravitation”, Knickerbocker Press, New York, 1931.
  • Converse, P. D., “New laws of retail gravitation”, Journal of Marketing, 14, 379–384, 1949.
  • Huff, D. L., “Defining and estimating a trading area”, Journal of Marketing, 28, 34–38, 1964.
  • Drezner Z.(Ed.), “Facility Location A Survey Of Applications And Methods”, Springer, 978-0387945453, New York, 1995.
  • Serra, D., Revelle, C., “Competitive location in discrete space”, Facility Location A Survey Of Applications And Methods, Springer, 978-0387945453, New York, 1995.
  • Plastria, F., “Static competitive facility location: an overview of optimisation approaches”, European Journal of Operational Research, 129, 461–470, 2001.
  • Drezner, T., Drezner, Z., “Retail facility location under changing market conditions”, IMA Journal of Management Mathematics, 13, 4, 238-302, 2002.
  • Drezner, T., “Location of retail facilities under conditions of uncertainty”, Annals of Operations Research, 167, 1, 107-120, 2009.
  • Bello, L., Blanquero, R., Carrizosa, E., “On minimax- regret Huff location models”, Computers & Operations Research, 38, 90-97,2011.
  • Farahani, R. Z., Hekmatfar, M. (Eds), Facility Location: Concepts, Models, Algorithms and Case Studies (Contributions to Management Science), Physica Verlag , 978-3790821505, Heidelberg, 2009.
  • Church, R., ReVelle, C. “The maximal covering location problem”, Papers of the Regional Science Association, 32, 101–118, 1974.
  • Daskin, M. S., “ A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution”, Transportation Science, 17 , 48-70, 1983.
  • Karasakal O., Karasakal K., E., “A maximal covering location model in the presence of partial coverage”, Computers & Operations Research, 31, 1515-1526,2004.
  • Harewood, S.I, “Emergency Ambulance Deployment in Barbados: a Multi-Objective Approach”, Journal of Operational Research Society, 53, 185-192, 2002.
  • Chen, C., Li, Q., Kaneko, S., Chen, J., Cui, X., “Location optimization algorithm for emergency signs in public facilities and its application to a single-floor supermarket”, Fire Safety Journal, 44, 113-120, 2009.
  • Xia, L., Zhao, Y., Xie, M., Shao, J., Dong, J.,“ Mixed Integer Proggaming Based Nested Partition Algorithm for Facility Location Optimization”, IEEE International Conference on Service Operations and Logistics, and Informatics,
  • DOI:10.1109/SOLI.2008.4682933, 2008.
  • Gill, A., Bhatti, M. I., “Optimal model for warehouse location and retailer allocation”, Applied Stochastic Models In Business And Industry, 23, 213-221, 2007.
  • Berman, O., Krass, D., “The generalized maximal covering location problem”, Computers & Operations Research, 29, 563–581, 2002.
  • ReVelle, C.S., Eiselt, H.A., Daskin, M.S., “A bibliography for some fundamental problem categories in discrete location science”, European Journal of Operational Research, 184, 817–848, 2008.
  • Berman, O., Drezner, Z., Krass, D., “Generalized coverage: New developments in covering location models”, Computers & Op erations Research, 37, 1675–1687, 2010.

Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama

Year 2012, Volume: 16 Issue: 1, 24 - 30, 01.06.2012

Abstract

In this study, a store location problem has been addressed for service sector, and a real application problem for a leading firm in modern retail sector in Turkey has been solved by modeling with mathematical programming. Since imitating a store location in retail sector is hard and provides an important competitive edge, determining accurate store locations becomes a critical issue for the management. Application problem solved in this study is to choose appropriate areas for opening stores with different capacities and quantities in Umraniye, Istanbul. The problem has been converted to a maximum set covering model by considering after sales forecasts and also by taking into account several decision criteria foreseen by the management. Optimum solutions of the developed model for different scenarios has been obtained using a package program and presented to the firm management.

References

  • Applebaum, W., “The Analog Method for Estimating Potential Store Sales in Guide to Store Location Research” , Curt Kornblau(Ed.), Addison-Wesley Publishing Company, Massachusetts, USA, 1968.
  • Ghosh, A., McLafferty, S. L. “Location strategies for retail and service firms”, Lexington Books, 978- 0669120325, Lexington, 1987.
  • Reilly, W. J., “The law of retail gravitation”, Knickerbocker Press, New York, 1931.
  • Converse, P. D., “New laws of retail gravitation”, Journal of Marketing, 14, 379–384, 1949.
  • Huff, D. L., “Defining and estimating a trading area”, Journal of Marketing, 28, 34–38, 1964.
  • Drezner Z.(Ed.), “Facility Location A Survey Of Applications And Methods”, Springer, 978-0387945453, New York, 1995.
  • Serra, D., Revelle, C., “Competitive location in discrete space”, Facility Location A Survey Of Applications And Methods, Springer, 978-0387945453, New York, 1995.
  • Plastria, F., “Static competitive facility location: an overview of optimisation approaches”, European Journal of Operational Research, 129, 461–470, 2001.
  • Drezner, T., Drezner, Z., “Retail facility location under changing market conditions”, IMA Journal of Management Mathematics, 13, 4, 238-302, 2002.
  • Drezner, T., “Location of retail facilities under conditions of uncertainty”, Annals of Operations Research, 167, 1, 107-120, 2009.
  • Bello, L., Blanquero, R., Carrizosa, E., “On minimax- regret Huff location models”, Computers & Operations Research, 38, 90-97,2011.
  • Farahani, R. Z., Hekmatfar, M. (Eds), Facility Location: Concepts, Models, Algorithms and Case Studies (Contributions to Management Science), Physica Verlag , 978-3790821505, Heidelberg, 2009.
  • Church, R., ReVelle, C. “The maximal covering location problem”, Papers of the Regional Science Association, 32, 101–118, 1974.
  • Daskin, M. S., “ A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution”, Transportation Science, 17 , 48-70, 1983.
  • Karasakal O., Karasakal K., E., “A maximal covering location model in the presence of partial coverage”, Computers & Operations Research, 31, 1515-1526,2004.
  • Harewood, S.I, “Emergency Ambulance Deployment in Barbados: a Multi-Objective Approach”, Journal of Operational Research Society, 53, 185-192, 2002.
  • Chen, C., Li, Q., Kaneko, S., Chen, J., Cui, X., “Location optimization algorithm for emergency signs in public facilities and its application to a single-floor supermarket”, Fire Safety Journal, 44, 113-120, 2009.
  • Xia, L., Zhao, Y., Xie, M., Shao, J., Dong, J.,“ Mixed Integer Proggaming Based Nested Partition Algorithm for Facility Location Optimization”, IEEE International Conference on Service Operations and Logistics, and Informatics,
  • DOI:10.1109/SOLI.2008.4682933, 2008.
  • Gill, A., Bhatti, M. I., “Optimal model for warehouse location and retailer allocation”, Applied Stochastic Models In Business And Industry, 23, 213-221, 2007.
  • Berman, O., Krass, D., “The generalized maximal covering location problem”, Computers & Operations Research, 29, 563–581, 2002.
  • ReVelle, C.S., Eiselt, H.A., Daskin, M.S., “A bibliography for some fundamental problem categories in discrete location science”, European Journal of Operational Research, 184, 817–848, 2008.
  • Berman, O., Drezner, Z., Krass, D., “Generalized coverage: New developments in covering location models”, Computers & Op erations Research, 37, 1675–1687, 2010.
There are 23 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Çiğdem Alabaş Uslu This is me

Publication Date June 1, 2012
Submission Date August 11, 2011
Acceptance Date December 14, 2011
Published in Issue Year 2012 Volume: 16 Issue: 1

Cite

APA Uslu, Ç. A. (2012). Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama. Sakarya University Journal of Science, 16(1), 24-30. https://doi.org/10.16984/saufbed.27545
AMA Uslu ÇA. Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama. SAUJS. April 2012;16(1):24-30. doi:10.16984/saufbed.27545
Chicago Uslu, Çiğdem Alabaş. “Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama”. Sakarya University Journal of Science 16, no. 1 (April 2012): 24-30. https://doi.org/10.16984/saufbed.27545.
EndNote Uslu ÇA (April 1, 2012) Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama. Sakarya University Journal of Science 16 1 24–30.
IEEE Ç. A. Uslu, “Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama”, SAUJS, vol. 16, no. 1, pp. 24–30, 2012, doi: 10.16984/saufbed.27545.
ISNAD Uslu, Çiğdem Alabaş. “Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama”. Sakarya University Journal of Science 16/1 (April 2012), 24-30. https://doi.org/10.16984/saufbed.27545.
JAMA Uslu ÇA. Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama. SAUJS. 2012;16:24–30.
MLA Uslu, Çiğdem Alabaş. “Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama”. Sakarya University Journal of Science, vol. 16, no. 1, 2012, pp. 24-30, doi:10.16984/saufbed.27545.
Vancouver Uslu ÇA. Maksimum Kapsama Modeliyle Tesis Yeri Seçimi: Perakende Sektöründe Bir Uygulama. SAUJS. 2012;16(1):24-30.