Decision Making Through the Fuzzy TOPSIS Method

Contractor Selection in Construction Projects

Authors

  • A. Oben Sabuncuoglu
  • Ali Gorener

DOI:

https://doi.org/10.20525/ijrbs.v5i2.328

Keywords:

Construction Projects, Contractor, Fuzzy Decision Making, AHP, TOPSIS

Abstract

Construction contractors have a great role in terms of operation work properly in construction project management. An effective contractor selection is most important to the success of any construction projects. Contractor selection is a multi criteria decision making problem which includes qualitative and quantitative characteristics. For the contractor selection problem, this study proposes a combined decision approach, which employs analytic hierarchy process (AHP) and Fuzzy Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS)  methods. In the proposed approach, AHP is used to determine the weights of selection criteria, and Fuzzy TOPSIS is used to select appropriate contractor alternative. Additionally, a real case study in construction industry is presented to illustrate the application of the proposed approach.

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References

Abbasianjahromi, H., Rajaie, H., & Shakeri, E. (2013). A Framework for Subcontractor Selection in the Construction Industry, Journal of Civil Engineering and Management, 19, 2, 158-168, DOI: 10.3846/13923730.2012.743922

Albayrak, E., & Erensal, Y. C. (2004). Using Analytic Hierarchy Process (AHP) to Improve Human Performance. An Application of Multiple Criteria Decision Making Problem, Journal of Intelligent Manufacturing, 15, 491-503.

Alcan, P., & Basligil, H. (2011). A Facility Location Selection Problem by Fuzzy TOPSIS, Proceedings of 15th International Research/Expert Conference ”Trends in the Development of Machinery and Associated Technology” TMT 2011, 329-332.

Allahverdi, N. (2005). Bulanık Mantık ve Sistemler, http://farabi.selcuk.edu.tr/egitim/bulanik/bulanik.htm

Apak, S., Vayvay, Ö., & Feyzioğlu, P (2013). A Decision Making Model for the Evaluation of Supply Chain Execution and Management Systems, International Journal of Computational Intelligence Systems, 6, 2, 293-306, DOI:10.1080/18756891.2013.769767

Barrie, D. S., & Paulson, B. C. (1992). Professional Construction Management: Including CM, Design-Construct, and General Contracting. McGraw-Hill.

Beyazid, O., (2005). Use of AHP in Decision-Making for Flexible Manufacturıng Systems, Journal of Manufacturing Technology Management, 16, 7, 808-819, DOI: 10.1108/17410380510626204

Cavallaro, F. (2010). Fuzzy TOPSIS Approach for Assessing Thermal-Energy Storage in Concentrated Solar Power (CSP) Systems, Applied Energy, 87, 496-503, DOI:10.1016/j.apenergy.2009.07.009

Chen, C. T. (2000). Extensions of the TOPSIS for Group Decision-Making Under Fuzzy Environment. Fuzzy sets and Systems, 114, 1, 1-9, DOI:10.1016/S0165-0114(97)00377-1

Chen, C. T., & Lin, C. T., Huang, S. F. (2006). A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. International Journal of Production Economics, 102, 2, 289-301, DOI:10.1016/j.ijpe.2005.03.009

Cheng, C. H. (1999). Evaluating Weapon Systems Using Ranking Fuzzy Numbers, Fuzzy Sets and Systems, 107, 1, 25-35, DOI:10.1016/S0165-0114(97)00348-5

Chu, T. C. (2002). Facility Location Selection Using Fuzzy TOPSIS Under Group Decisions. Int. Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10, 687-701, DOI: 10.1142/S0218488502001739

Çiftçioğlu, B. (2013). İnşaat Sektöründe AHP Yöntemiyle Yüklenici Seçimi: Bir Konut Projesinde Uygulama, İstanbul Teknik Üniversitesi FBE Yüksek Lisans Tezi.

Dağdeviren, M., Yavuz, S. & Kılınç, N. (2009). Weapon Selection Using the AHP and TOPSIS Methods under Fuzzy Environment. Expert Systems with Applications, 36, 8143-8151, DOI:10.1016/j.eswa.2008.10.016

Darvish, M., Yasaei, M., & Saeedi, A. (2009). Application of the Graph Theory and Matrix Methods to Contractor Ranking. International Journal of Project Management, 27, 6, 610-619, DOI:10.1016/j.ijproman.2008.10.004

Dinçer, H., & Görener, A. (2011). Analitik Hiyerarşi Süreci ve VIKOR Tekniği ile Dinamik Performans Analizi: Bankacılık Sektöründe Bir Uygulama, İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 19, 109-127.

Ebrahimnejad, S., & Mousavi, S. M., Tavakkoli-Moghaddam, R., Hashemi, H., Vahdani, B. (2012). A Novel Two-phase Group Decision Making Approach for Construction Project Selection in A Fuzzy Environment. Applied Mathematical Modelling, 36, 9, 4197-4217, DOI:10.1016/j.apm.2011.11.050

Eleren, A., & Ersoy, M. (2007). Mermer Blok Kesim Yöntemlerinin Bulanık TOPSIS Yöntemiyle Değerlendirilmesi, Madencilik, 46, 3, 9-22.

Fang, L., & Hipel, K. W., Kilgour, D. M. (1993). Interactive Decision Making: The Graph Model For Conflict Resolution, Vol. 3, John Wiley & Sons.

Fong, P. S. W., & Choi, S. K. Y. (2000). Final Contractor Selection using the Analytical Hierarchy Process. Construction Management & Economics, 18, 5, 547-557, DOI: 10.1080/014461900407356

Hatush, Z., & Skitmore, M. (1997). Criteria for Contractor Selection. Construction Management & Economics, 15, 1, 19-38, DOI:10.1080/014461997373088

Hatush, Z., & Skitmore, M. (1998). Contractor Selection using Multicriteria Utility Theory: An Additive Model. Building And Environment, 33, 2, 105-115, DOI:10.1016/S0360-1323(97)00016-4

Huang, X. (2011). An Analysis of the Selection of Project Contractor in the Construction Management Process. International Journal of Business and Management, 6, 3, 184-189.

Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Application, Springer Publications, Berlin.

Jaskowski, P., Biruk, S., & Bucon, R. (2010). Assessing Contractor Selection Criteria Weights with Fuzzy AHP method Application in Group Decision Environment. Automation in Construction, 19, 2, 120-126, DOI:10.1016/j.autcon.2009.12.014

Kaptanoğlu, D., & Özok, A. F. (2010). Akademik Performans Değerlendirm3esi için Bir Bulanık Model. İTÜ Dergisi/d, 5, 1, 193-204.

Nieto-Morote, A., & Ruz-Vila, F. (2012). A Fuzzy Multi-Criteria Decision-Making Model For Construction Contractor Prequalification, Automation in Construction, 25, 8-19, DOI:10.1016/j.autcon.2012.04.004

Polat, G. (2015). Subcontractor Selection using the Integration of the AHP and PROMETHEE methods, Journal of Civil Engineering and Management, DOI: 10.3846/13923730.2014.948910.

Rençber, Ö. F., & Kazan, H. (2014). Büyük Çaplı Projelerde Taşeron Firma Seçiminde Teklif Değerlendirme: Analitik Hiyerarşi Süreci Yöntemi İle Karar Verme, International Journal of Social Science Research, 3, 1, 11-24.

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning Priority Setting. McGraw Hill, New York.

Saaty, T. L. (1990). How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48, 9-26.

Saaty, T. L. (2008). Decision Making with the Analytic Hierarchy Process. International Journal of Service Sciences, 1, 1, 83-98.

Singh, D., & Tiong, R. L. (2005). A Fuzzy Decision Framework for Contractor Selection. Journal of Construction Engineering and Management, 131, 1, 62-70, DOI: 10.1061/(ASCE)0733-9364(2005)131:1(62)

Singh, R. K., & Benyoucef, L. (2011). A Fuzzy TOPSIS Based Approach for E-Sourcing, Engineering Applications of Artificial Intelligence, 24, 437-448, DOI:10.1016/j.engappai.2010.09.006

Shanian, A., & Savadogo, O. (2006). TOPSIS Multiple-Criteria Decision Support Analysis for Material Selection of Metallic Bipolar Plates for Polymer Electrolyte Fuel Cell, Journal of Power Sources, 159, 1095-1104, DOI:10.1016/j.jpowsour.2005.12.092

Shahanaghi, K., & Yazdian, S. A. (2009). Vendor Selection Using a New Fuzzy Group TOPSIS Approach, Journal of Uncertain Systems, 3, 3, 221-231.

Shyjith, K., Ilangkumaran, M., & Kumanan, S. (2008). Multi-Criteria Decision-Making Approach to Evaluate Optimum Maintenance Strategy in Textile Industry, Journal of Quality in Maintenance Engineering, 14, 4, 375-386, DOI:10.1108/13552510810909975

Şen, Z. (2001). Bulanık Mantık ve Modelleme Ilkeleri. Bilge Kültür Sanat, İstanbul.

Topçu, 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

Torlak, G., Sevkli, M., Sanal, M., & Zaim, S. (2011). Analyzing Business Competition by Using Fuzzy TOPSIS Method: An Example of Turkish Domestic Airline Industry, Expert Systems with Applications, 38, 3396-3406, DOI:10.1016/j.eswa.2010.08.125

Zadeh, L. A. (1975). The Concept of A Linguistic Variable and Its Application to Approximate Reasoning-I, Information Sciences, 8, 3, 199-249, DOI:10.1016/0020-0255(75)90036-5

Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2008). Contractor Selection of Construction in a Competitive Environment. Journal of Business Economics and Management, 9, 3, 181-187, DOI: 10.3846/1611-1699.2008.9.181-187

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Published

2016-03-22

How to Cite

Sabuncuoglu, A. O., & Gorener, A. (2016). Decision Making Through the Fuzzy TOPSIS Method: Contractor Selection in Construction Projects. International Journal of Research in Business and Social Science (2147- 4478), 5(2), 71–82. https://doi.org/10.20525/ijrbs.v5i2.328

Issue

Vol. 5 No. 2 (2016): Special Issue

Section

Articles

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Copyright (c) 2016 A. Oben Sabuncuoglu, Ali Gorener

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