Selection of Contractor: a Flexible Performance-Based Approach

  • Authors

    • Nurshikin Mohamad Shukery
    • Roslan Amirudin
    • Nafisah Abdul Rahiman
    • Hamizah Liyana Tajul Ariffin
    • Syamsul Hendra Mahmud
    2018-08-08
    https://doi.org/10.14419/ijet.v7i3.21.17184
  • Contractor Selection, Performance-based, Analytical Hierarchy Process

  • Contractors are the main players in construction industry. Appropriate selection of contractor is crucial in determining the future performance of a project in any case. Sometimes this selection procedure is performed without proper consideration and deliberate methodology that it merits, thus bringing negative outcomes. This paper proposes a performance-based contractor selection approach that will empower the utilization of expert’s experience and data. A flexible performance-based contractor selection system is proposed to bolster this decision-making process. To characterize and design the system, semi structured interviews and questionnaire surveys were led within public sector concentrating on the way that the selection process is carried out in practice and the evaluation connected with it. A prototype of a Flexible Performance-Based Contractor Selection System (FPCSS) was developed by using Analytical Hierarchy Process (AHP) method. The system is validated by construction industry professionals in public sector. As a conclusion, the FPCSS is a significant tool for contractor selection, by helping organizations to select a competent contractor and decrease the subjectivity of the decision-making process. The advantage as gave by the system favours a reliable indicator to predict performance of construction project by selecting a contractor based on his best performan

     

  • References

    1. [1] Haseeb M, Bibi A, Rabbani W. Problems of projects and effects of delays in the construction industry of Pakistan. Australian journal of business and management research. 2011;1(6):41.

      [2] Abedi M, Fathi M, Mohammad M. Effects of construction delays on construction project objectives. 2011.

      [3] Sambasivan M, Soon YW. Causes and effects of delays in Malaysian construction industry. International Journal of project management. 2007;25(5):517-26.

      [4] Ali AS, Smith A, Pitt M. Contractors' perception of factors contributing to project delay: case studies of commercial projects in Klang Valley, Malaysia. Journal of Design and Built Environment. 2012;7(1).

      [5] Ergonul S, Yilmaz A. Selection of contractors for middle-sized projects in Turkey. Gazi University Journal of Science. 2011;24(3):477-85.

      [6] Xu J, Liu YX, Luo LF. A trust-based method in construction industry. Applied Mechanics and Materials. 2014;539:762.

      [7] Abdul-Rahman H, Berawi M, Berawi A, Mohamed O, Othman M, Yahya I. Delay mitigation in the Malaysian construction industry. Journal of construction engineering and management. 2006;132(2):125-33.

      [8] Ramanathan C, Potty NS, Idrus AB, editors. Analysis of time and cost overrun in Malaysian construction. Advanced Materials Research; 2012: Trans Tech Publ.

      [9] Jaafar M, Abdul Aziz A, Ismail A, editors. Non Price Factors (NPF) and contractors’ selection: An application in the Public Sector Malaysia. Proceeding of 5th IEEE International Conference of Cognitive Informatics; 2006.

      [10] Ariffin Z. Public Work Department tender evaluation system. In: Shukery NM, editor. 2014.

      [11] Cooke-Davies T. The “real†success factors on projects. International journal of project management. 2002;20(3):185-90.

      [12] El-Sawalhi N, Eaton D, Rustom R. Contractor pre-qualification model: State-of-the-art. International Journal of Project Management. 2007;25(5):465-74.

      [13] Egan J. Rethink Construction. The Construction Task Force Department of the Environment, Transport and the Regions, London. 1998.

      [14] Beatham S, Anumba C, Thorpe T, Hedges I. KPIs: a critical appraisal of their use in construction. Benchmarking: An International Journal. 2004;11(1):93-117.

      [15] Hatush Z, Skitmore M. Criteria for contractor selection. Construction Management & Economics. 1997;15(1):19-38.

      [16] Alzahrani JI, Emsley MW. The impact of contractors’ attributes on construction project success: A post construction evaluation. International Journal of Project Management. 2013;31(2):313-22.

      [17] Takim R, Akintoye A, editors. A conceptual model for successful construction project performance. In: Greenwood, D (Ed), 18th Annual ARCOM Conference, 2-4 September 2002, University of Northumbria Association of Researchers in Construction Management; 2002: Citeseer.

      [18] Xiao H, Proverbs D. Factors influencing contractor performance: an international investigation. Engineering, Construction and Architectural Management. 2003;10(5):322-32.

      [19] Cheng EW, Li H. Contractor selection using the analytic network process. Construction management and Economics. 2004;22(10):1021-32.

      [20] Singh D, Tiong RL. A fuzzy decision framework for contractor selection. Journal of Construction Engineering and Management. 2005;131(1):62-70.

      [21] Sacks R, Harel M. An economic game theory model of subcontractor resource allocation behaviour. Construction Management and Economics. 2006;24(8):869-81.

      [22] Salama M, El Aziz HA, El Sawah H, El Samadony A. Investigating the criteria for contractors' selection and bid evaluation in Egypt. Management. 2006;531:540.

      [23] Yasamis-Speroni F, Lee D-E, Arditi D. Evaluating the quality performance of pavement contractors. Journal of Construction Engineering and Management. 2012;138(10):1114-24.

      [24] Khoshgoftar M, Bakar AHA, Osman O. Causes of delays in Iranian construction projects. International Journal of Construction Management. 2010;10(2):53-69.

      [25] Tao L, Kumaraswamy M. Unveiling relationships between contractor inputs and performance outputs. Construction Innovation. 2012;12(1):86-98.

      [26] Toor S-u-R, Ogunlana SO. Beyond the ‘iron triangle’: Stakeholder perception of key performance indicators (KPIs) for large-scale public sector development projects. International journal of project management. 2010;28(3):228-36.

      [27] Mills AJ. The impact of client attitudes on the selection of contractors. Malaysian construction research journal. 2011;8(1):88-102.

      [28] Yang J-B, Peng S-C. Development of a customer satisfaction evaluation model for construction project management. Building and Environment. 2008;43(4):458-68.

      [29] Yasamis F, Arditi D, Mohammadi J. Assessing contractor quality performance. Construction Management & Economics. 2002;20(3):211-23.

      [30] Florez L, Castro D, Medaglia AL, editors. Maximizing labor stability as a sustainability performance indicator in project scheduling. Construction Research Congress 2012: Construction Challenges in a Flat World; 2012.

      [31] Idrus A, Sodangi M, Amran MA. Decision criteria for selecting main contractors in Malaysia. Research Journal of Applied Sciences, Engineering and Technology. 2011;3(12):1358-65.

      [32] Bradshaw J, Chang S. Past performance as an indicator of future performance: selecting an industry partner to maximize the probability of program success. Defense AR Journal. 2013;20(1):59-80.

      [33] Votano S, Sunindijo RY. Client safety roles in small and medium construction projects in Australia. Journal of Construction Engineering and Management. 2014;140(9):04014045.

      [34] Singh D, Tiong RL. Contractor selection criteria: investigation of opinions of Singapore construction practitioners. Journal of construction engineering and management. 2006;132(9):998-1008.

      [35] Hosny O, Nassar K, Esmail Y. Prequalification of Egyptian construction contractors using fuzzy-AHP models. Engineering, Construction and Architectural Management. 2013;20(4):381-405.

      [36] Nassar K, Hosny O. Fuzzy clustering validity for contractor performance evaluation: Application to UAE contractors. Automation in Construction. 2013;31:158-68.

      [37] Perera N, Sutrisna M. The use of analytic hierarchy process (AHP) in the analysis of delay claims in construction projects in the UAE. The Built & Human Environment Review. 2010;3(1):29-48.

      [38] Department PW. Project Management System. 2014.

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  • How to Cite

    Mohamad Shukery, N., Amirudin, R., Abdul Rahiman, N., Liyana Tajul Ariffin, H., & Hendra Mahmud, S. (2018). Selection of Contractor: a Flexible Performance-Based Approach. International Journal of Engineering & Technology, 7(3.21), 338-344. https://doi.org/10.14419/ijet.v7i3.21.17184