IT2 Bulanık ANP Metodolojisi Kullanılarak Beton Tesis Yeri Seçimi

Yıl 2022, Sayı: 5, 10 - 16, 30.06.2022

Kemal Gökhan Nalbant Şahika Özdemir Yavuz Özdemir

https://doi.org/10.52693/jsas.1091307

Öz

Hazır Beton kullanımı 1970'li yıllardan sonra kullanılmaya başlanmış ve önemi son yıllarda giderek artmıştır. Ülkemizde inşaat sektörünün son yıllarda hızla gelişmesi, Hazır Beton santrallerinin de hızla gelişmesine katkı sağlamıştır. Bu nedenle bu çalışmada, Aralıklı Tip-2 Bulanık Analitik Ağ (IT2 FANP) metodolojisi kullanılarak beton santralinin yeri belirlenmeye çalışılmıştır. Bu metodoloji sonucunda alternatif beton santralinin lokasyon sıralaması sırasıyla Başakşehir, İkitelli ve Bağcılar olarak bulunmuştur. Yazarların bilgisine göre bu çalışma, literatürde Aralıklı Tip-2 (IT2) Bulanık Çok Kriterli Karar Verme (MCDM) tekniklerini kullanarak alternatif bir beton santrali yeri araştıran ilk çalışmadır. Bu çalışmanın avantajı, literatürde eksik görülen bu yönü zenginleştirmesi ve bu alanda yapılacak çalışmalarda öncü olmasıdır.

Anahtar Kelimeler

Hazır Beton, Beton Santrali, Yer Seçimi, Karar Verme, IT2 FANP

Selecting an Alternative Concrete Batching Plant Location Using IT2 Fuzzy ANP Methodology

Öz

The use of Ready-Mixed Concrete started to be used after the 1970s and its importance has gradually increased in recent years. The rapid development of the construction industry in our country in recent years has contributed to the rapid development of Ready-Mixed Concrete plants. Because of this reason, in this study the concrete plant's location is tried to be determined using the Interval Type-2 Fuzzy Analytic Network (IT2 FANP) methodology. As a result of this methodology, the ranking of the alternative concrete plant's location is found as Basaksehir, Ikitelli, and Bagcilar, respectively. To the authors’ knowledge, this is the first study in the literature that searches an alternative concrete batching plant location using Interval Type-2 (IT2) Fuzzy Multi-Criteria Decision Making (MCDM) techniques. The advantage of this study is that it enriches this aspect, which is seen as missing in the literature, and is a pioneer in the studies to be done in this field.

Anahtar Kelimeler

Ready-Mixed Concrete, concrete batching plant, location selection, decision making, IT2 FANP

Kaynakça

• [1] Türkiye İstatistik Kurumu , www.tuik.gov.tr
• [2] TS 12165, 1997. İnşaat Makinaları – Beton Santrali, Türk Standartları Enstitüsü, Ankara.
• [3] www.thbb.org, 2007. Türkiye Hazır Beton Birliği web sitesi
• [4] Öztekin, E., Sümer, M., “Hazır betonda santral çıkışı ile şantiye teslim kalitelerinin karşılaştırılmalı incelenmesi”, 3. Ulusal Beton Kongresi, İstanbul, (1994).
• [5] Çil, İ., “Hazır betonda santral çıkışı ile şantiye teslimi kalitelerinin karşılaştırılmalı incelenmesi ve İstatiksel kalite kontrol”, Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, (2000).
• [6] THBB, Dünyada ve Türkiye’de Hazır Beton, Sektöre ilişkin veriler, THBB yayını, İstanbul, (2003).
• [7] Karnik, N.N., Mendel, J.M. and Liang, Q. (1999) Type-2 fuzzy logic systems, IEEE Transactions on Fuzzy Systems, 7(6): 643-658.
• [8] Mendel, J.M., John R.I., and F. Liu, F. (2006). Interval type-2 fuzzy logic systems made simple, IEEE Transactions on Fuzzy Systems, 14(6): 808-821.
• [9] Chen, S.M. and Lee, L.W. (2010). 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)(2010): 824-833.
• [10] Sola, H.B., Fernandez, J., Hagras, H., Herrera, F., Pagola, M., and Barrenechea, E. (2014). Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Toward a wider view on their relationship, IEEE Transactions on Fuzzy Systems, 23(5): 1876-1882.
• [11] Boran, F.E. and Akay, D. (2013). A generic method for the evaluation of interval type-2 fuzzy linguistic summaries, IEEE Transactions On Cybernetics, 44(9): 1632-1645.
• [12] B. Leblebicioğlu and A. Keskin , "Evaluation of Supplier Selection Criteria with Fuzzy DEMATEL Method: An Application on the Pharmacy Industry", Avrupa Bilim ve Teknoloji Dergisi, no. 23, pp. 236-242, Apr. 2021, doi:10.31590/ejosat.864116
• [13] Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609.
• [14] Ozdemir, Y., Nalbant, K. G., & Basligil, H. (2017). Evaluation of personnel selection criteria using Consistent Fuzzy Preference Relations. International Journal of Management Science, 4(6), 76-81.
• [15] Mousavi-Nasab, S. H., & Sotoudeh-Anvari, A. (2017). A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems. Materials & Design, 121, 237-253.
• [16] Özdemir, Y., Nalbant, K. G., & Başlıgil, H. (2018). Personnel selection for promotion using an integrated fuzzy analytic hierarchy process-grey relational analysis methodology: a real case study. Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering, 19(2), 278-292.
• [17] Yu, X., Zhang, S., Liao, X., & Qi, X. (2018). ELECTRE methods in prioritized MCDM environment. Information Sciences, 424, 301-316.
• [18] Özdemir, Y., & Nalbant, K. G. (2018). A real personnel selection problem using the generalized choquet integral methodology. Business & Management Studies: An International Journal, 6(2), 694 716.
• [19] Nalbant, K. G., & Ozdemir, Y. (2018). Personnel selection using fuzzy VIKOR methodology. International Journal of Management Science, 5(2), 10-17.
• [20] Lin, M., Huang, C., & Xu, Z. (2020). MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable cities and society, 53, 101873.
• [21] Ozdemir, Y., & Nalbant, K. G. (2020). Personnel selection for promotion using an integrated consistent fuzzy preference relations-fuzzy analytic hierarchy process methodology: A real case study. Asian Journal of Interdisciplinary Research, 3(1), 219-236.
• [22] Chowdhury, P., & Paul, S. K. (2020). Applications of MCDM methods in research on corporate sustainability: A systematic literature review. Management of Environmental Quality: An International Journal.
• [23] Ozdemir, S., Nalbant, K.G. and Ozdemir, Y. (2021). “Evaluating Campus Components According To The Inclusive Design Principles Using An Integrated Consistent Fuzzy Preference Relations And Grey Relational Analysis Methodology”, Computational Research Progress in Applied Science & Engineering, CRPASE: Transactions of Civil and Environmental Engineering, 7(3): 1–5, Article ID: 2363, (2021).
• [24] Hezam, I. M., Nayeem, M. K., Foul, A., & Alrasheedi, A. F. (2021). COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups. Results in physics, 20, 103654.
• [25] Nalbant, K.G., Ozdemir, S. and Ozdemir, Y. (2021). Evaluating Inclusive Campus Environment Design Criteria Using CFPR and FANP Methodologies, WSEAS Transactions on Computer Research, 9:92- 102, (2021), DOI: 10.37394/232018.2021.9.11.
• [26] Tan, T., Mills, G., Papadonikolaki, E., & Liu, Z. (2021). Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review. Automation in Construction, 121, 103451.
• [27] S. Senturk, Y. Binici and N. Erginel, The theoretical structure of fuzzy analytic network process (FANP) with interval type-2 fuzzy sets, IFAC-PapersOnLine, 49(12)(2016): 1318-1322.
• [28] T. Wu and X. Liu, An interval type-2 fuzzy ANP approach to evaluate enterprise technological innovation ability, Kybernetes 45(9)(2016): 1486-1500.
• [29] S. Senturk, N. Erginel and Y. Binici, Interval Type-2 Fuzzy analytic network process for modelling a third-party logistics (3PL) company, Journal of Multiple-Valued Logic & Soft Computing, 28(2017).
• [30] Ozdemir, Y., Ozdemir, S., & Nalbant, K. G. (2021). A Hybrid Methodology for Prioritizing of Store Plan Alternatives Produced with Rule-Based Design. International Journal of Information Technology & Decision Making, 20(06), 1685-1709.
• [31] Ozdemir, Ş., Nalbant, K.G., Ozdemir, Y., “An Interval Type-2 Fuzzy Analytic Network Process For Prioritizing of Store Plan Alternatives Produced With Ruled Based Design”, CRPASE: Transactions of Applied Sciences, 7(4):1-5, (2021).
• [32] Şimşek, B., İç, Y. T., & Şimşek, E. H. (2013). A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete. Chemometrics and Intelligent Laboratory Systems, 125, 18-32.
• [33] Şimşek, B., & İç, Y. T. (2020). Fuzzy failure mode and effect analysis application to reduce risk level in a ready-mixed concrete plant: A fuzzy rule based system modelling approach. Mathematics and Computers in Simulation, 178, 549-587.
• [34] Abdelgawad, M., & Fayek, A. R. (2010). Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and management, 136(9), 1028-1036.
• [35] Debnath, J., & Biswas, A. (2018). Assessment of occupational risks in construction sites using interval type-2 fuzzy analytic hierarchy process. In Industry Interactive Innovations in Science, Engineering and Technology (pp. 283-297). Springer, Singapore.
• [36]Kou, G., Olgu Akdeniz, Ö., Dinçer, H., & Yüksel, S. (2021). Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach. Financial Innovation, 7(1), 1-28.
• [37] Bera, A. K., Jana, D. K., Banerjee, D., & Nandy, T. (2020). Supplier selection using extended IT2 fuzzy TOPSIS and IT2 fuzzy MOORA considering subjective and objective factors. Soft Computing, 24(12), 8899-8915.
• [38] Zhou, P., Zhou, P., Yüksel, S., Dinçer, H., & Uluer, G. S. (2019). Balanced scorecard-based evaluation of sustainable energy investment projects with it2 fuzzy hybrid decision making approach. Energies, 13(1), 82.
• [39] Liu, J., Lv, J., Dinçer, H., Yüksel, S., & Karakuş, H. (2021). Selection of renewable energy alternatives for green blockchain investments: A hybrid IT2-based fuzzy modelling. Archives of Computational Methods in Engineering, 28(5), 3687-3701.
• [40] Kahraman, C., Oztaysi, B., Sari I. U. & Turanoglu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets, Knowledge-Based Systems, 59, 48-57.