Buradasınız

Anasayfa » Content

MAKSİMUM KAPSAMA MODELİYLE TESİS YERİ SEÇİMİ: PERAKENDE SEKTÖRÜNDE BİR UYGULAMA

FACILITY LOCATION USING MAXIMUM COVERING MODEL: AN APPLICATION IN RETAIL SECTOR

Journal Name:

  • Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Publication Year:

  • 2012

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
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.
Bookmark/Search this post with
Abstract (Original Language): 
Bu çalışmada hizmet sektörü için mağaza yeri seçimi problemi ele alınmış ve Türkiye’de günümüz perakende sektörüne öncülük yapan bir firma için gerçek bir uygulama problemi matematiksel programlama ile modellenerek çözülmüştür. Perakende sektöründe mağaza yeri taklit edilmesi zor ve önemli bir rekabet üstünlüğü sağladığından dolayı doğru mağaza yerlerinin belirlenmesi kritik bir problem olarak yönetimin karşısına çıkmaktadır. Bu makalede ele alınan uygulama problemi, İstanbul ili Ümraniye ilçesine farklı kapasitelerde ve farklı sayılarda mağazaların açılması için uygun bölgelerin belirlenmesidir. Söz konusu problem, yapılan satış tahmini çalışmalarından sonra, yönetimin öngördüğü bazı karar ölçütleri de dikkate alınarak, bir maksimum kapsama modeline dönüştürülmüştür. Geliştirilen modelin farklı senaryolar için optimal çözümleri bir paket program kullanılarak elde edilmiş ve firma yönetimine sunulmuştur.
FULL TEXT (PDF): 
PDF icon arastirmax-maksimum-kapsama-modeliyle-tesis-yeri-secimi-perakende-sektorunde-bir-uygulama.pdf
  • 1
24 - 30
  • Turkish

REFERENCES

References: 

[1] 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.
[2] Ghosh, A., McLafferty, S. L. “Location strategies for retail and service firms”, Lexington Books, 978-0669120325, Lexington, 1987.
[3] Reilly, W. J., “The law of retail gravitation”, Knickerbocker Press, New York, 1931.
[4] Converse, P. D., “New laws of retail gravitation”, Journal of Marketing, 14, 379–384, 1949.
[5] Huff, D. L., “Defining and estimating a trading area”, Journal of Marketing, 28, 34–38, 1964.
[6] Drezner Z.(Ed.), “Facility Location A Survey Of Applications And Methods”, Springer, 978-0387945453, New York, 1995.
[7] Serra, D., Revelle, C., “Competitive location in discrete space”, Facility Location A Survey Of Applications And Methods, Springer, 978-0387945453, New York, 1995.
[8] Plastria, F., “Static competitive facility location: an overview of optimisation approaches”, European Journal of Operational Research, 129, 461–470, 2001.
[9] Drezner, T., Drezner, Z., “Retail facility location under changing market conditions”, IMA Journal of Management Mathematics, 13, 4, 238-302, 2002.
[10] Drezner, T., “Location of retail facilities under conditions of uncertainty”, Annals of Operations Research, 167, 1, 107-120, 2009.
[11] Bello, L., Blanquero, R., Carrizosa, E., “On minimax-regret Huff location models”, Computers & Operations Research, 38, 90-97,2011.
[12] Farahani, R. Z., Hekmatfar, M. (Eds), Facility Location: Concepts, Models, Algorithms and Case Studies (Contributions to Management Science), Physica Verlag , 978-3790821505, Heidelberg, 2009.
[13] Church, R., ReVelle, C. “The maximal covering location problem”, Papers of the Regional Science Association, 32, 101–118, 1974.
[14] Daskin, M. S., “ A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution”, Transportation Science, 17 , 48-70, 1983.
[15] Karasakal O., Karasakal K., E., “A maximal covering location model in the presence of partial coverage”, Computers & Operations Research, 31, 1515-1526,2004.
[16] Harewood, S.I, “Emergency Ambulance Deployment in Barbados: a Multi-Objective Approach”, Journal of Operational Research Society, 53, 185-192, 2002.
[17] 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.
[18] 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, 2375 - 2381, 978-1-4244-2012-4, DOI:10.1109/SOLI.2008.4682933, 2008.
[19] Gill, A., Bhatti, M. I., “Optimal model for warehouse location and retailer allocation”, Applied Stochastic Models In Business And Industry, 23, 213-221, 2007.
[20] Berman, O., Krass, D., “The generalized maximal covering location problem”, Computers & Operations Research, 29, 563–581, 2002.
[21] 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.
[22] Berman, O., Drezner, Z., Krass, D., “Generalized coverage: New developments in covering location models”, Computers & Op erations Research, 37, 1675–1687, 2010.

Thank you for copying data from http://www.arastirmax.com