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Selecting Contractor Company in Urban Transformation Using SWARA - Gray Relationship Analysis Method

Yıl 2017, Cilt: 2 Sayı: 6, 79 - 95, 15.10.2017
https://doi.org/10.23834/isrjournal.327313

Öz

After the Law No. 6306 on the
Transformation of Areas Under Disaster Risk (Law on Urban Transformation) has
entered into force, the buildings which have been damaged by the earthquakes
and completed its economic life can be reconstructed.  In case that the building is found to be
under the risk following the risk assessment to be carried out by the
institutions and organizations, licensed by the Ministry of Environment and
Urbanization (MEU), upon request of the owner/ owners of the property, the
building can be demolished. The resolution to be taken by at least two-thirds
majority of stakeholders will be valid for the selection of the contracting
firm for construction of new building after its demolition. We encounter with
the selection of the contracting firm as a problem of multi-criteria decision
making (MCDM).

The purpose of this study is to select
the contracting firm, which will construct the new building in the place of the
building under the risk that has been demolished under the urban
transformation, by using SWARA-based Gray Relationship Analysis method. In the
sample application; a-5-storey building with 10 houses was found to be the risk
building and MEU decided to demolish that building. The stakeholders of land
determined the criteria on the selection of the contracting firm to construct
the new building following the demolition of the building and alternative
contracting firms by utilizing the support of experts. The weighting of the
criteria was performed by using SWARA method and the alternative contracting
firms were assessed by Gray Relationship Analysis method. Thus, the contracting
firm providing maximum benefits and yield was selected within the scope of the
criteria set out by the stakeholders.





 

Kaynakça

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Kentsel Dönüşüm Kapsamında Müteahhit Firmanın SWARA – Gri İlişkisel Analiz Yöntemiyle Seçilmesi

Yıl 2017, Cilt: 2 Sayı: 6, 79 - 95, 15.10.2017
https://doi.org/10.23834/isrjournal.327313

Öz

6306 sayılı Afet Riski Altındaki
Alanların Dönüştürülmesi Hakkında Kanunun (Kentsel Dönüşüm Kanunu - KDK)
yürürlüğe girmesinin ardından ekonomik ömrünü tamamlamış, depremlerde hasar
görmüş binalar yeniden inşa edilebilmektedir. Çevre ve Şehircilik Bakanlığı
(ÇŞB) tarafından lisanslandırılan kurum ve kuruluşlara mülk sahibi / sahipleri
tarafından yaptırılacak risk tespitinin ardından, binanın riskli olması
durumunda bina yıkımına gidilmektedir. Yıkım sonrası yeni bina inşası için
müteahhit firmanın seçiminde paydaşların en az üçte iki çoğunlukla alacakları
karar geçerli olmaktadır. Müteahhit firmanın seçim işlemi ise, çok kriterli
karar verme (ÇKKV) problemi olarak karşımıza çıkmaktadır.



Bu çalışmada amaç, kentsel dönüşüm kapsamında
yıkımı gerçekleştirilen riskli bina yerine, yeni binayı inşa edecek müteahhit
firmanın SWARA temelli Gri İlişkisel Analiz yöntemiyle seçilmesidir. Örnek
uygulamada, 5 katlı ve 10 daireli bir binanın riskli yapı olduğu tespit
edilerek, ÇŞB tarafından yıkılmasına karar verilmiştir. Arsa paydaşları
tarafından, yıkım sonrası yeni binayı inşa edecek müteahhit firmanın seçimi
için kriterler belirlenmiş ve alternatif müteahhitlerin seçiminde ise uzman
desteğinden faydalanılmıştır. Kriterlerin ağırlıklandırılması SWARA yöntemiyle
yapılmış, alternatif müteahhitler ise Gri İlişkisel Analiz yöntemiyle
değerlendirilmiştir. Böylece, paydaşların kendi belirledikleri kriterler
çerçevesinde, maksimum fayda ve getiriyi sağlayan müteahhit firma seçilmiştir.

Kaynakça

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  • Aghdaie, M. H., Zolfani, S. H. ve Zavadskas, E. K. (2013). Decision Making in Machine Tool Selection : An Integrated Approach with SWARA and COPRAS-G Methods. Engineering Economics, 24(1), 5–17.
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  • Hussain, T., Arain, F. A. ve Malik, Z. A. (2017). Use of Taguchi Method and Grey Relational Analysis to Optimize Multiple Yarn Characteristics in Open-End Rotor Spinning. Autex Research Journal, 17(1), 67–72. http://search.ebscohost.com/login.aspx?direct=true&db=eoah&AN=41495260&lang=tr&site=ehost-live adresinden erişildi.
  • İncedayı, D. (2004). Kentsel Dönüşüm Kavramı Üzerine. Mimar.ist - Üç Aylık Mimarlık Kültür Dergisi, 4(12), 60–61.
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  • Juan, Y. K., Perng, Y. H., Castro-Lacouture, D. ve Lu, K. S. (2009). Housing Refurbishment Contractors Selection Based On A Hybrid Fuzzy-QFD Approach. Automation in Construction, 18(2), 139–144. doi:10.1016/j.autcon.2008.06.001
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  • Karabasevic, D., Paunkovic, H. ve Stanujkic, D. (2016). Ranking of companies according to the indicators of corporate social responsibility based on SWARA and ARAS methods. Serbian Journal of Management, 11(1), 43–53. doi:10.5937/sjm11-7877
  • Karabasevic, D., Stanujkic, D., Urosevic, S. ve Maksimovic, M. (2015). Selection of Candidates in the Mining Industry Based on the Application of the SWARA and the MULTIMOORA Methods. Acta Montanistica Slovaca, 20(2), 116–124.
  • Karabasevic, D., Stanujkic, D., Urosevic, S. ve Maksimovic, M. (2016). An approach to personnel selection based on Swara and Waspas methods. Journal of Economics, Management and Informatics, 7(1), 1–11. doi:10.5937/bizinfo1601001K
  • Keleş, R. (2004). Kentsel Dönüşümün Tüzel Altyapısı. Mimar.ist - Üç Aylık Mimarlık Kültür Dergisi, 4(12), 72–75.
  • Keršulienė, V. ve Turskis, Z. (2011). Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection. Technological and Economic Development of Economy, 17(4), 645–666.
  • Keršuliene, V., Zavadskas, E. K. ve Turskis, Z. (2010). Selection of Rational Dispute Resolution Method by Applying New Step-Wise Weight Assessment Ratio Analysis (Swara). Journal of Business Economics and Management, 11(2), 243–258.
  • Köseokur, H. (2007). İnşaat Sektöründe Yapay Sinir Ağları Yardımıyla Alt Yüklenici Seçimi. İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi.
  • Kung, C. Y. ve Wen, K. L. (2007). Applying Grey Relational Analysis and Grey Decision-Making to Evaluate the Relationship Between Company Attributes and Its Financial Performance - A Case Study of Venture Capital Enterprises in Taiwan. Decision Support Systems, 43(3), 842–852. doi:10.1016/j.dss.2006.12.012
  • Kuo, Y., Yang, T. ve Huang, G. W. (2008). The Use of Grey Relational Analysis in Solving Multiple Attribute Decision-Making Problems. CompComputers & Industrial Engineering, 55(1), 80–93. doi:10.1016/j.cie.2007.12.002
  • Lee, W. S. ve Lin, Y.-C. (2011). Evaluating and ranking energy performance of office buildings using Grey relational analysis. Energy, 36(2011), 2551–2556. doi:10.1016/j.energy.2011.01.049
  • Lin, Y.-H., Lee, P.-C. ve Chang, T.-P. (2009). Practical Expert Diagnosis Model Based on the Grey Relational Analysis Technique. Expert Systems with Applications, 36(2, Part 1), 1523–1528. doi:10.1016/j.eswa.2007.11.046
  • Lin, Z. C. ve Ho, C. Y. (2003). Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. International Journal of Advanced Manufacturing Technology, 21(1), 10–14. doi:10.1007/s001700300001
  • Lu, I. J., Lin, S. J. ve Lewis, C. (2008). Grey Relation Analysis of Motor Vehicular Energy Consumption in Taiwan. Energy Policy, 36(7), 2556–2561. doi:10.1016/j.enpol.2008.03.015
  • Nezhad, M. R. G., Zolfani, S. H., Moztarzadeh, F., Zavadskas, E. K. ve Bahrami, M. (2015). Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran. Economic Research-Ekonomska Istrazivanja, 28(1), 1111–1137. doi:10.1080/1331677x.2015.1102404
  • Peker, İ. ve Baki, B. (2011). Performance Evaluation in Turkish Insurance Sector with Grey Relationship Analysis. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 3(7), 1–18.
  • Rajesh, R. ve Ravi, V. (2015). Supplier selection in resilient supply chains: A grey relational analysis approach. Journal of Cleaner Production, 86(August 2014), 343–359. doi:10.1016/j.jclepro.2014.08.054
  • Ramezaniyan, M. R., Kazemi, M., Jafari, H. ve Elahi, S. M. (2012). Application of Integrated Fuzzy VIKOR & AHP Methodology to Contractor Ranking. Management Science Letters, 2(5), 1511–1526. doi:10.5267/j.msl.2012.05.017
  • Rashvand, P., Majid, M. Z. A. ve Pinto, J. K. (2015). Contractor management performance evaluation model at prequalification stage. Expert Systems with Applications, 42(12), 5087–5101. doi:10.1016/j.eswa.2015.02.043
  • Saha, A. ve Mandal, N. K. (2013). Optimization of Machining Parameters of Turning Operations Based on Multi Performance Criteria. International Journal of Industrial Engineering Computations, 4, 51–60. doi:10.5267/j.ijiec.2012.011.004
  • Sarucan, A., Baysal, E. M., Kahraman, C. ve Engin, O. (2011). A Hierarchy Grey Relational Analysis for Selecting the Renewable Electricity Generation Technologies. World Congress on Engineering, II, 4–9.
  • Senger, Ö. ve Albayrak, Ö. K. (2016). Gri İlişki Analizi Yöntemi ile Personel Değerlendirme Üzerine Bir Çalışma. International Journal of Economic & Administrative Studies, 2016(7), 235–258.
  • Shukla, S., Mishra, P. K., Jain, R. ve Yadav, H. C. (2016). An integrated decision making approach for ERP system selection using SWARA and PROMETHEE method. Int. J. of Intelligent Enterprise, 3(2), 120–147. doi:10.1504/IJIE.2016.076041
  • Sofyalıoğlu, Ç. ve Öztürk, Ş. (2012). Application of Grey Relational Analysis With Fuzzy AHP to FMEA Method. Doğuş Üniversitesi Dergisi, 13(1), 114–130.
  • Stanujkic, D., Karabasevic, D. ve Zavadskas, E. K. (2015). A Framework for the Selection of a Packaging Design Based on the SWARA Method. Engineering Economics, 26(2), 181–187.
  • Sumrit, D., Anuntavoranich, P. ve Vadhanasindhu, P. (2012). Strategic Decision for the External Technological Innovation Acquisition Mode Selection by Using an Integration of AHP and GRA Methods: A Case Study on a Thai New Technology-Based Firm. IOSR Journal of Business and Management, 6(1), 29–38.
  • Tekin, M. (2008). Sayısal Yöntemler. Konya: Selçuk Üniversitesi İİBF.
  • Timor, M. (2010). Yöneylem Araştırması. İstanbul: Türkmen Kitabevi.
  • Topcu, Y. I. (2004). A decision model proposal for construction contractor selection in Turkey. Building and Environment, 39(4), 469–481. doi:10.1016/j.buildenv.2003.09.009
  • Tosun, N. (2006). Determination of Optimum Parameters for Multi-Performance Characteristics in Drilling by Using Grey Relational Analysis. International Journal of Advanced Manufacturing Technology, 28(5–6), 450–455. doi:10.1007/s00170-004-2386-y
  • Tsai, C.-H., Chang, C.-L. ve Chen, L. (2003). Applying Grey Relational Analysis to the Vendor Evaluation Model. International Journal of The Computer, The Internet and Management, 11(3), 45–53.
  • Tuş Işık, A. ve Aytaç Adalı, E. (2016). A new integrated decision making approach based on SWARA and OCRA methods for the hotel selection problem. International Journal of Advanced Operations Management, 8(2), 140–151. doi:10.1504/IJAOM.2016.079681
  • Tzeng, C.-J., Lin, Y.-H., Yang, Y.-K. ve Jeng, M.-C. (2009). Optimization of Turning Operations with Multiple Performance Characteristics Using The Taguchi Method and Grey Relational Analysis. Journal of Materials Processing Technology, 209(6), 2753–2759. doi:10.1016/j.jmatprotec.2008.06.046
  • Uçkun, N. ve Girginer, N. (2011). Türkiye’deki Kamu ve Özel Bankaların Performanslarının Gri İlişki Analizi ile İncelenmesi, 67–88.
  • Ulubeyli, S. (2008). Uluslararası İnşaat Projelerinde Alt Yüklenici Seçimi İçin Bulanık Çok Ölçütlü Karar Verme Modeli. İstanbul Üniversitesi Fen Bilimleri Enstitüsü Doktora Tezi.
  • Ulubeyli, S. ve Kazaz, A. (2016). Fuzzy Multi-Criteria Decision Making Model For Subcontractor Selection in International Construction Projects. Technological and Economic Development of Economy, 22(2), 210–234. doi:10.3846/20294913.2014.984363
  • Üstünışık, N. Z. (2007). Türkiye’deki İller ve Bölgeler Bazında Sosyo-Ekonomik Gelişmişlik Sıralaması Araştırması: Gri İlişkisel Analiz Yöntemi ve Uygulaması. Gazi Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, Ankara.
  • Vafaeipour, M., Zolfani, S. H., Varzandeh, M. H. M., Derakhti, A. ve Keshavarz, M. E. (2014). Assessment of Regions Priority for Implementation of Solar Projects in Iran: New Application of a Hybrid Multi-Criteria Decision Making Approach. Energy Conversion and Management, 86(2014), 653–663.
  • Vijaya, B., Sharavanan, S. ve Jeykrishnan, J. (2017). Optimization of process parameters in drilling of fibre hybrid composite using Taguchi and grey relational analysis. IOP Conference Series: Materials Science and Engineering, 183(1), 12003. http://search.ebscohost.com/login.aspx?direct=true&db=eoah&AN=41519614&lang=tr&site=ehost-live adresinden erişildi.
  • Wang, S.-M., Hsieh, C.-H. ve Sie, P.-R. (2014). A Grey Relation Analysis of the Performance of Listed Hospitality Companies in Taiwan. International Journal of Organizational Innovation, 7(3), 115–125.
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  • Yazdani, M., Zavadskas, E. K., Ignatius, J. ve Abad, M. D. (2016). Sensitivity analysis in MADM methods: Application of material selection. Engineering Economics, 27(4), 382–391. doi:10.5755/j01.ee.27.4.14005
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  • Yılmaz, E. ve Güngör, F. (2010). Gri İli̇şki̇sel Anali̇z Yöntemi̇ne Göre Farklı Sertli̇klerde Opti̇mum Takım Tutucusunun Beli̇rlenmesi̇. 2. Ulusal Tasarım İmalat ve Analiz Kongresi içinde (ss. 1–9).
  • Zhai, L. Y., Khoo, L. P. ve Zhong, Z. W. (2009). Design Concept Evaluation in Product Development Using Rough Sets and Grey Relation Analysis. Expert Systems with Applications, 36, 7072–7079. doi:10.1016/j.eswa.2008.08.068
  • Zolfani, S. H. ve Bahrami, M. (2014). Investment Prioritizing in High Tech Industries Based on SWARA-COPRAS Approach. Technological & Economic Development of Economy, 20(3), 534–553.
  • Zolfani, S. H. ve Banihashemi, S. S. A. (2014). Personnel Selection Based on a Novel Model of Game Theory and MCDM Approaches. 8th International Scientific Conference “Business and Management 2014” içinde (ss. 191–198). Lithuania: Vilnius Gediminas Technical University.
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  • Zolfani, S. H. ve Saparauskas, J. (2013). New Application of SWARA Method in Prioritizing Sustainability Assessment Indicators of Energy System. Engineering Economics, 24(5), 408–414.
  • Zolfani, S. H., Zavadskas, E. K. ve Turskis, Z. (2013). Design of Products with Both International and Local Perspectives Based on Yin-Yang Balance Theory and SWARA Method. Economic Research, 26(2), 153–166.
Toplam 84 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Engin Çakır

Yayımlanma Tarihi 15 Ekim 2017
Gönderilme Tarihi 8 Temmuz 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 2 Sayı: 6

Kaynak Göster

APA Çakır, E. (2017). Selecting Contractor Company in Urban Transformation Using SWARA - Gray Relationship Analysis Method. The Journal of International Scientific Researches, 2(6), 79-95. https://doi.org/10.23834/isrjournal.327313

Cited By







OECD Ülkelerinin Lojistik Performanslarının SWARA Tabanlı EDAS Yöntemi ile Değerlendirilmesi
Cankiri Karatekin Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi
Ejder AYÇİN
https://doi.org/10.18074/ckuiibfd.500320