Research Article
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A Hybrıd Approach based on Interval Type-2 Fuzzy MCDM for Warehouse Site Selection

Year 2020, Volume: 9 Issue: 1, 101 - 114, 27.01.2020

Ahmet Çalık

https://doi.org/10.33206/mjss.511582
Cited By: 4

Abstract

For most companies that aim at delivering the best possible quality product from the right place to the right place, choosing the right warehouse location is very important for operational success. It is of great importance to make a right and future-oriented decision about a new warehouse location, as companies' decision to make the right position is becoming more and more ambiguous in the global business environment. Therefore, choosing the right warehouse location is one of the main problems in the development of a successful supply chain system. In this study, it is aimed to present the multi-criteria decision making (MCDM) method, which is expanded by the interval type-2 fuzzy sets to select the appropriate warehouse location. The proposed approach includes the AHP and TOPSIS methods under the interval type-2 fuzzy environment to overcome the uncertainty in the judgment and statements of the experts in decision-making. Fuzzy AHP is used to determine the weight of criteria determined by experts in the selection of warehouses; then the TOPSIS method is used to obtain the ranking of alternative depots with spacing type-2 trapezoidal fuzzy numbers. To show the proposed application of the methodology, a study is carried out using real data for companies wishing to open a new store in Turkey.

Keywords

Interval Type-2 Fuzzy AHP Interval Type-2 Fuzzy TOPSIS Warehouse Site Selection Atıf

References

  • Aktepe, A., & Ersöz, S. (2014). AHP-VIKOR ve MOORA Yöntemlerinin Depo Yeri Seçim Probleminde Uygulanması. Endüstri Mühendisliği Dergisi, 25(1–2), 2–15.
  • Ashrafzadeh, M., Mokhatab rafiei, F., Mollaverdi, N., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Interdiscipl J Contemp Res Business (C. 3).
  • Asır, Ö., & Erol, E. (2016). COPRAS ve MOORA Yöntemlerinin Depo Yeri Seçim Problemine Uygulanması. Ekonomi, Isletme, Siyaset ve Uluslararası Iliskiler Dergisi (JEBPIR), 2(1), 23–42.
  • Baykasoğlu, A., & Gölcük, İ. (2017). Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Systems with Applications, 70, 37–51. https://doi.org/10.1016/J.ESWA.2016.11.001
  • Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
  • Büyüközkan, G., & Uztürk, D. (2017). Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection. Içinde 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (ss. 1–6). https://doi.org/10.1109/FUZZ-IEEE.2017.8015684
  • Celik, E., Bilisik, O. N., Erdogan, M., Gumus, A. T., & Baracli, H. (2013). An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transportation Research Part E: Logistics and Transportation Review, 58, 28–51. https://doi.org/10.1016/J.TRE.2013.06.006
  • Chai, J., Liu, J. N. K., & Xu, Z. (2013). A rule-based group decision model for warehouse evaluation under interval-valued Intuitionistic fuzzy environments. Expert Systems with Applications, 40(6), 1959–1970. https://doi.org/10.1016/J.ESWA.2012.10.003
  • Chen, C.-T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118(1), 65–73. https://doi.org/10.1016/S0165-0114(98)00459-X
  • Chen, S. M., & Lee, L. W. (2010a). Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Systems with Applications, 37(4), 2790–2798. https://doi.org/10.1016/j.eswa.2009.09.012
  • Chen, S. M., & Lee, L. W. (2010b). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with Applications, 37(1), 824–833. https://doi.org/10.1016/j.eswa.2009.06.094
  • Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952. https://doi.org/10.1016/J.ESWA.2009.11.022
  • Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2013). A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a utopian environment. International Journal of Management Science and Engineering Management, 8(4), 250–261. https://doi.org/10.1080/17509653.2013.825075
  • Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278. https://doi.org/10.1080/17509653.2015.1086964
  • Erdoğan, M., & Kaya, İ. (2016). A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey. Applied Soft Computing, 39, 84–93. https://doi.org/10.1016/J.ASOC.2015.11.013
  • Frazelle, E. (2015). Supply chain strategy. McGraw Hill.
  • Huang, S., Wang, Q., Batta, R., & Nagi, R. (2015). An integrated model for site selection and space determination of warehouses. Computers & Operations Research, 62, 169–176. https://doi.org/10.1016/J.COR.2014.10.015
  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. Springer-Verlag. Tarihinde adresinden erişildi https://books.google.com.tr/books?id=X-wYAQAAIAAJ
  • Jha, M., Raut, R., B. Gardas, B., & Raut, V. (2018). A sustainable warehouse selection: An interpretive structural modelling approach. International Journal of Procurement Management (C. 11). https://doi.org/10.1504/IJPM.2018.090025
  • Kabak, M., & Keskin, İ. (2018). Hazardous Materials Warehouse Selection Based on GIS and MCDM. Arabian Journal for Science and Engineering, 43(6), 3269–3278. https://doi.org/10.1007/s13369-018-3063-z
  • Kahraman, C., Öztayşi, B., Uçal Sarı, İ., & Turanoğlu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, 48–57. https://doi.org/10.1016/J.KNOSYS.2014.02.001
  • Karmaker, C., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters (C. 4). https://doi.org/10.5267/j.dsl.2015.4.005
  • Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/10.1016/J.ESWA.2011.02.022
  • Vlachopoulou, M., Silleos, G., & Manthou, V. (2001). Geographic information systems in warehouse site selection decisions. International Journal of Production Economics, 71(1–3), 205–212. https://doi.org/10.1016/S0925-5273(00)00119-5

Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım

Year 2020, Volume: 9 Issue: 1, 101 - 114, 27.01.2020

Ahmet Çalık

https://doi.org/10.33206/mjss.511582
Cited By: 4

Abstract

Doğru yerden doğru yere mümkün olan en iyi kalitede ürün
teslim etmeyi amaçlayan çoğu şirket için, doğru depo yeri seçimi stratejik
başarı için çok önemlidir. Şirketlerin doğru konum kararını vermesi küresel iş
ortamında her geçen gün belirsiz hale geldiğinden, yeni bir depo yeri hakkında
sağlam ve geleceğe dönük bir karar vermek büyük önem taşımaktadır. Bu nedenle, doğru
depo yeri seçiminin belirlenmesi, başarılı bir tedarik zinciri sisteminin
geliştirilmesindeki temel problemlerden biri olmuştur. Bu çalışmada, uygun depo
yerini seçmek için aralık tip-2 bulanık kümeleriyle genişletilen çok kriterli
karar verme (ÇKKV) yönteminin sunulması amaçlanmaktadır. Önerilen yaklaşım,
karar vermede uzmanların yargılarında ve ifadelerinde yer alan belirsizliğinin
üstesinden gelmek için aralık tip-2 bulanık ortam altında AHP ve TOPSIS
yöntemlerini içermektedir. Bulanık AHP, depo seçiminde uzmanlarca belirlenen
kriterlerin ağırlıklarını belirlemek için kullanılmış; ardından aralık tip-2 yamuksal
bulanık sayılar ile alternatif depoların sıralamasını elde etmek için TOPSIS
yöntemi kullanılmıştır. Önerilen metodolojinin uygulamasını göstermek için, Türkiye’de
yeni bir depo açmak isteyen firma için gerçek verileri kullanarak bir çalışma
yürütülmüştür.

Keywords

Aralık Tip-2 Bulanık AHP Aralık Tip-2 Bulanık TOPSIS Depo Yeri Seçimi

References

  • Aktepe, A., & Ersöz, S. (2014). AHP-VIKOR ve MOORA Yöntemlerinin Depo Yeri Seçim Probleminde Uygulanması. Endüstri Mühendisliği Dergisi, 25(1–2), 2–15.
  • Ashrafzadeh, M., Mokhatab rafiei, F., Mollaverdi, N., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Interdiscipl J Contemp Res Business (C. 3).
  • Asır, Ö., & Erol, E. (2016). COPRAS ve MOORA Yöntemlerinin Depo Yeri Seçim Problemine Uygulanması. Ekonomi, Isletme, Siyaset ve Uluslararası Iliskiler Dergisi (JEBPIR), 2(1), 23–42.
  • Baykasoğlu, A., & Gölcük, İ. (2017). Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Systems with Applications, 70, 37–51. https://doi.org/10.1016/J.ESWA.2016.11.001
  • Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
  • Büyüközkan, G., & Uztürk, D. (2017). Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection. Içinde 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (ss. 1–6). https://doi.org/10.1109/FUZZ-IEEE.2017.8015684
  • Celik, E., Bilisik, O. N., Erdogan, M., Gumus, A. T., & Baracli, H. (2013). An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transportation Research Part E: Logistics and Transportation Review, 58, 28–51. https://doi.org/10.1016/J.TRE.2013.06.006
  • Chai, J., Liu, J. N. K., & Xu, Z. (2013). A rule-based group decision model for warehouse evaluation under interval-valued Intuitionistic fuzzy environments. Expert Systems with Applications, 40(6), 1959–1970. https://doi.org/10.1016/J.ESWA.2012.10.003
  • Chen, C.-T. (2001). A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems, 118(1), 65–73. https://doi.org/10.1016/S0165-0114(98)00459-X
  • Chen, S. M., & Lee, L. W. (2010a). Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Systems with Applications, 37(4), 2790–2798. https://doi.org/10.1016/j.eswa.2009.09.012
  • Chen, S. M., & Lee, L. W. (2010b). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with Applications, 37(1), 824–833. https://doi.org/10.1016/j.eswa.2009.06.094
  • Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952. https://doi.org/10.1016/J.ESWA.2009.11.022
  • Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2013). A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a utopian environment. International Journal of Management Science and Engineering Management, 8(4), 250–261. https://doi.org/10.1080/17509653.2013.825075
  • Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278. https://doi.org/10.1080/17509653.2015.1086964
  • Erdoğan, M., & Kaya, İ. (2016). A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey. Applied Soft Computing, 39, 84–93. https://doi.org/10.1016/J.ASOC.2015.11.013
  • Frazelle, E. (2015). Supply chain strategy. McGraw Hill.
  • Huang, S., Wang, Q., Batta, R., & Nagi, R. (2015). An integrated model for site selection and space determination of warehouses. Computers & Operations Research, 62, 169–176. https://doi.org/10.1016/J.COR.2014.10.015
  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. Springer-Verlag. Tarihinde adresinden erişildi https://books.google.com.tr/books?id=X-wYAQAAIAAJ
  • Jha, M., Raut, R., B. Gardas, B., & Raut, V. (2018). A sustainable warehouse selection: An interpretive structural modelling approach. International Journal of Procurement Management (C. 11). https://doi.org/10.1504/IJPM.2018.090025
  • Kabak, M., & Keskin, İ. (2018). Hazardous Materials Warehouse Selection Based on GIS and MCDM. Arabian Journal for Science and Engineering, 43(6), 3269–3278. https://doi.org/10.1007/s13369-018-3063-z
  • Kahraman, C., Öztayşi, B., Uçal Sarı, İ., & Turanoğlu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, 48–57. https://doi.org/10.1016/J.KNOSYS.2014.02.001
  • Karmaker, C., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters (C. 4). https://doi.org/10.5267/j.dsl.2015.4.005
  • Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/10.1016/J.ESWA.2011.02.022
  • Vlachopoulou, M., Silleos, G., & Manthou, V. (2001). Geographic information systems in warehouse site selection decisions. International Journal of Production Economics, 71(1–3), 205–212. https://doi.org/10.1016/S0925-5273(00)00119-5
There are 24 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Ahmet Çalık 0000-0002-6796-0052

Publication Date January 27, 2020
Submission Date January 10, 2019
Published in Issue Year 2020 Volume: 9 Issue: 1

Cite

APA Çalık, A. (2020). Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım. MANAS Sosyal Araştırmalar Dergisi, 9(1), 101-114. https://doi.org/10.33206/mjss.511582
AMA Çalık A. Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım. MJSS. January 2020;9(1):101-114. doi:10.33206/mjss.511582
Chicago Çalık, Ahmet. “Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım”. MANAS Sosyal Araştırmalar Dergisi 9, no. 1 (January 2020): 101-14. https://doi.org/10.33206/mjss.511582.
EndNote Çalık A (January 1, 2020) Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım. MANAS Sosyal Araştırmalar Dergisi 9 1 101–114.
IEEE A. Çalık, “Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım”, MJSS, vol. 9, no. 1, pp. 101–114, 2020, doi: 10.33206/mjss.511582.
ISNAD Çalık, Ahmet. “Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım”. MANAS Sosyal Araştırmalar Dergisi 9/1 (January 2020), 101-114. https://doi.org/10.33206/mjss.511582.
JAMA Çalık A. Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım. MJSS. 2020;9:101–114.
MLA Çalık, Ahmet. “Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım”. MANAS Sosyal Araştırmalar Dergisi, vol. 9, no. 1, 2020, pp. 101-14, doi:10.33206/mjss.511582.
Vancouver Çalık A. Depo Yeri Seçimi için Aralık Tip-2 Bulanık ÇKKV Tabanlı Hibrit Bir Yaklaşım. MJSS. 2020;9(1):101-14.

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