Araştırma Makalesi
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Facility Location Using Maximum Covering Model: An Application In Retail Sector

Yıl 2012, Cilt: 16 Sayı: 1, 24 - 30, 01.06.2012

Öz

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Kaynakça

  • 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

Yıl 2012, Cilt: 16 Sayı: 1, 24 - 30, 01.06.2012

Öz

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.

Kaynakça

  • 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.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Çiğdem Alabaş Uslu Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2012
Gönderilme Tarihi 11 Ağustos 2011
Kabul Tarihi 14 Aralık 2011
Yayımlandığı Sayı Yıl 2012 Cilt: 16 Sayı: 1

Kaynak Göster

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. Nisan 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, sy. 1 (Nisan 2012): 24-30. https://doi.org/10.16984/saufbed.27545.
EndNote Uslu ÇA (01 Nisan 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, c. 16, sy. 1, ss. 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 (Nisan 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, c. 16, sy. 1, 2012, ss. 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.

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