Warehouse Location Selection: Hybrid Multi-Criteria Decision-Making Application in Retail Sector

Yıl 2020, Cilt: 15 Sayı: 59, 615 - 623, 31.07.2020

Muhittin Sağnak

https://doi.org/10.19168/jyasar.689277

Cited By: 9

Öz

In today's rapidly developing business world, logistics and supply chain management are becoming more and more important. In this context, warehouses are important connection points that provide communication between all organizations and activities throughout the supply chain. Warehouse location selection is, therefore, an important decision problem due to its impact on the supply chain. In this study, it is aimed to select the most appropriate warehouse location by integrating the fuzzy Analytical Hierarchy Process (AHP) and fuzzy TODIM techniques for an organization operating in the retail sector. The criteria set developed for the selection of the most suitable warehouse location, in other words, the conceptual framework has been developed by literature review. Fuzzy AHP was used to find the importance weights of the criteria. Alternatives were evaluated using the fuzzy TODIM technique. Some implications have been developed based on the results.

Anahtar Kelimeler

Supply Chain, Warehouse Location Selection, Fuzzy Analytic Hierarchy Process, Fuzzy TODIM

Depo Yeri Seçimi: Perakende Sektöründe Melez Çok Kriterli Karar Verme Uygulaması

Öz

Günümüzün hızla gelişen iş dünyasında, lojistik ve tedarik zinciri yönetimi gittikçe daha önemli hale gelmektedir. Bu bağlamda, depolar, tedarik zinciri boyunca bütün organizasyonlar ve faaliyetler arası iletişimi sağlayan önemli bağlantı noktalarıdır. Depo yeri seçimi bu nedenle tedarik zinciri üzerindeki etkisi nedeniyle önemli bir karar sorunudur. Bu çalışmada, perakende sektöründe faaliyet gösteren büyük bir kuruluş için bulanık Analitik Hiyerarşi Süreci (AHS) ve bulanık TODIM teknikleri entegre edilerek en uygun depo yeri seçiminin yapılması hedeflenmiştir. En uygun depo yeri seçimi için geliştirilen kriter seti, diğer bir deyişle kavramsal çerçeve, literatür taraması ile geliştirilmiştir. Bulanık AHS kriterlerin önem ağırlıklarının bulunmasında kullanılmış, alternatifler ise bulanık TODIM tekniği kullanılarak değerlendirilmiştir. Çıkan sonuçlara bağlı çıkarımlar geliştirilmiştir.

Anahtar Kelimeler

Tedarik Zinciri, Depo Yeri Seçimi, Bulanık Analitik Hiyerarşi Süreci, Bulanık TODIM

Kaynakça

• Abo-Elnaga, Y., El-Sobky, B. ve Al-Naser, L. (2017). “An active-set trust-region algorithm for solving warehouse location problem”. Journal of Taibah University for Science, 11, 353-358.
• Aghezzaf, E. (2005). “Capacity planning and warehouse location in supply chains with uncertain demands”. Journal of the Operational Research Society, 56(4), 453-462.
• Aktepe, A. ve Ersöz, S. (2014). “AHP-VIKOR ve MOORA Yöntemlerinin Depo Yeri Seçim Probleminde Uygulanması”. Endüstri Mühendisliği Dergisi, 25(1-2), 2-15.
• Amiri, A. (2006). “Designing a distribution network in a supply chain system: formulation and efficient solution procedure”. European Journal of Operational Research, 171, 567-576.
• Askin, R.G., Baffo, I. ve Xia, M. (2014). “Multi-commodity warehouse location and distribution planning with inventory consideration”. International Journal of Production Research, 52(7), 1897-1910.
• Baker, B.M. (1982). “Linear Relaxations of the Capacitated Warehouse Location Problem”. The Journal of the Operational Research Society, 33(5), 475-479.
• Benalcazar, P., Kaminski, J. ve Saluga, P.W. (2017). “The storage location problem in a coal supply chain: background and methodological approach”. Mineral Resources Management, 33(1), 5-14.
• Bhatnagar, R. ve Sohal, A.S. (2005). “Supply chain competitiveness: measuring the impact of location factors, uncertainty and manufacturing practices”. Technovation, 25, 443-456.
• Brahimi, N. ve Khan, S.A. (2014). “Warehouse location with production, inventory, and distribution decisions: a case study in the lube oil industry”. 4OR-A Quarterly Journal of Operations Research, 12, 175-197.
• Brunaud, B., Bassett, M.H., Agarwal, A., Wassick, J.M. ve Grossmann, I.E. (2018). “Efficient formulations for dynamic warehouse location under discrete transportation costs”. Computers and Chemical Engineering, 111, 311-323.
• Chatterjee, K. ve Kar, S. (2013). “An Induced Fuzzy Rasch-VIKOR Model for Warehouse Location Evaluation under Risky Supply Chain”. In: International Conference on Pattern Recognition and Machine Intelligence, PREMI 2013. Lecture Notes in Computer Science, vol. 8251. Springer, Berlin, Heidelberg.
• Chen, C., Liu, J., Li, Q., Wang, Y., Xiong, H. ve Wu, S. (2017). “Warehouse Site Selection for Online Retailers in Inter-connected Warehouse Networks”. IEEE International Conference on Data Mining.
• Chung, S.H., Lee, A.H. ve Pearn, W.L. (2005). “Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis”. International Journal of Advanced Manufacturing Technology, 25, 1144-1156.
• da Silva, D.D., de Vasconcelos, N.V.C. ve Cavalcante, C.A.V. (2015). “Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse”. Mathematical Problems in Engineering, 2015, Makale No. 481950, 8 sayfa.
• Demirel, T., Demirel, N.C. ve Kahraman, C. (2010). “Multi-criteria warehouse location selection using Choquet integral”. Expert Systems with Applications, 37, 3943-3952.
• Dey, B., Bairagi, B., Sarkar, B. ve Sanyal, S.K. (2016). “Warehouse location selection by fuzzy multicriteria decision making methodologies based on subjective and objective criteria”. International Journal of Management Science and Engineering Management, 11(4), 262-278.
• Dey, B., Bairagi, B., Sarkar, B. ve Sanyal, S.K. (2017). “Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain”. Computers & Industrial Engineering, 105, 101-122.
• Duran, O ve Aguilo, J. (2008). “Computer-aided machine-tool selection based on a Fuzzy-AHP approach”. Expert Systems with Applications, 34, 1787-1794.
• Durmuş, A., ve Türk, S.S. (2014). “Factors Influencing Location Selection of Warehouses at the Intra-Urban Level: Istanbul Case”. European Planning Studies, 22(2), 268-292.
• Emeç, Ş. ve Akkaya, G. (2018). “Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem”. Journal of Enterprise Information Management, 31(6), 950-962.
• Gill, A. ve Bhatti, M.I. (2007). “Optimal model for warehouse location and retailer allocation”. Applied Stochastic Models in Business and Industry, 23, 213-221.
• Gomes, L.F.A.M. ve Rangel, L.A.D. (2009). “An application of the TODIM method to the multicriteria rental evaluation of residential properties”. European Journal of Operational Research, 193, 204-211.
• Gomes, L.F.A.M., Rangel, L.A.D. ve Maranhao, F.J.C. (2009). “Multicriteria analysis of natural gas destination in Brazil: An application of the TODIM method”. Mathematical and Computer Modelling, 50, 92-100.
• Hakim, R.T. ve Kusumastuti, R.D. (2018). “Model to Determine Relief Warehouse Location in East Jakarta Using the Analytic Hierarchy Process”. International Journal of Technology, 7, 1405-1414.
• He, J., Feng, C., Hu, D. ve Liang, L. (2017). “A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China”. Mathematical Problems in Engineering, 2017, Makale No. 7804781, 10 sayfa.
• Heizer, J. ve Render, B. (2006). “Operations Management”. 8th ed. Pearson Prentice Hall, Upper Saddle River, NJ. Kahraman, C., Ruan, D. ve Dogan, I. (2003). “Fuzzy group decision making for facility location selection”. Information Sciences, 157, 135-153.
• Kalfakakou, R., Katsavounis, S. ve Tsouros, K. (2003). “Minimum number of warehouses for storing simultaneously compatible products”. International Journal of Production Economics, 81-82, 559-564.
• Kapoor, V., Tak, S.S. ve Sharma, V. (2008). “Location selection: a fuzzy clustering approach”. International Journal of Fuzzy Systems, 10(2), 123-128.
• Kılınççı, O., ve Önal, S.A. (2011). “Fuzzy AHP approach for supplier selection in a washing machine company”. Expert Systems with Applications, 38, 9656-9664.
• Michel, L. ve Van Hentenryck, P. (2004). “A simple tabu search for warehouse location”. European Journal of Operational Research, 157, 576-591.
• Onstein, A.T.C., Tavasszy, L.A. ve van Damme, D.A. (2019). “Factors determining distribution structure decisions in logistics: a literature review and research agenda”. Transport Reviews, 39:2, 243-260.
• Önüt, S., Kara, S.S. ve Isik, E. (2009). “Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company”. Expert Systems with Applications, 36, 3887-3895.
• Özcan, T., Çelebi, N. ve Esnaf, Ş. (2011). “Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem”. Expert Systems with Applications, 38, 9773-9779.
• Qin, J., Liu, X. ve Pedrycz, W. (2017). “An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment”. European Journal of Operational Research, 258(2), 626-638.
• Queiruga, D., Walther, G., Gonzalez-Benito, J. ve Spengler, T. (2008). “Evaluation of sites for the location of WEEE recycling plants in Spain”. Waste Management, 28, 181-190.
• Rath, S. ve Gutjahr, W.J. (2014). “A math-heuristic for the warehouse location–routing problem in disaster relief”. Computers & Operations Research, 42, 25-39.
• Ren, P., Xu, Z. ve Gou, X. (2016). “Pythagorean fuzzy TODIM approach to multi-criteria decision making”. Applied Soft Computing, 42, 246-259.
• Rouwenhorst, B., Reuter, B., Stockrahm, V., van Houtum, G.J., Mantel, R.J. ve Zijm, W.H.M. (2000). “Warehouse design and control: framework and literature review”. European Journal of Operational Research, 122(3), 515-533.
• Saaty, T.L. (1980). “The Analytic Hierarchy Process”. McGraw-Hill, New York.
• Singh, R.K., Chaudhary, N. ve Saxena, N. (2018). “Selection of warehouse location for a global supply chain: A case study”. IIMB Management Review, 30, 343-356.
• Snyder, L.V. (2006). “Facility location under uncertainty: a review”, IIE Transactions, 38(7), 547-564.
• Temur, G.T. (2016). “A novel multi attribute decision making approach for location decision under high uncertainty”. Applied Soft Computing, 40, 674-682.
• Tseng, M.L., Lin, Y.H., Tan, K., Chen, R.H. ve Chen, Y.H. (2014).” Using TODIM to evaluate green supply chain practices under uncertainty”. Applied Mathematical Modelling, 38(11), 2983-2995.
• Yaobao, Z., Ping, H. ve Shu, Y. (2013). “An Improved Particle Swarm Optimization for the Automobile Spare Part Warehouse Location Problem”. Mathematical Problems in Engineering, 2013, Makale no. 726194, 6 sayfa.
• Zadeh, L.A. (1965). “Fuzzy sets”. Information Control, 8, 338-353.