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Assessment and evaluation of contractor data against client goals using PERT approach

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  • Zedan Hatush
  • Martin Skitmore

Abstract

A methodology for assessing and evaluating contractor data for the purpose of prequalification and bid evaluation is presented. The PERT approach is used to develop a linear model for the assessment of contractor data. The model incorporates a multiple ratings permitting the uncertainty in contractor data to be evaluated. An empirical study investigating the importance of different contractor criteria is described. A lexicographical ordering with aspiration levels and risk analysis with sensitivity methods are used to evaluate and select or rank-order contractors against the main client goals of time, cost, and quality. A literature review is reported regarding client goals and current evaluation strategies. The assumptions, advantages and disadvantages of this work as well as an example are also presented.

Suggested Citation

  • Zedan Hatush & Martin Skitmore, 1997. "Assessment and evaluation of contractor data against client goals using PERT approach," Construction Management and Economics, Taylor & Francis Journals, vol. 15(4), pages 327-340.
    • Handle: RePEc:taf:conmgt:v:15:y:1997:i:4:p:327-340
    DOI: 10.1080/014461997372881
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    References listed on IDEAS

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    1. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834, January.
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    Citations

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    Cited by:

    1. Bingsheng Liu & Tengfei Huo & Pinchao Liao & Jie Gong & Bin Xue, 2015. "A Group Decision-Making Aggregation Model for Contractor Selection in Large Scale Construction Projects Based on Two-Stage Partial Least Squares (PLS) Path Modeling," Group Decision and Negotiation, Springer, vol. 24(5), pages 855-883, September.
    2. Deep Shumank & Simon Laura & Asim Mohd & Rahimzadeh Ali & Al-Hamdani Sulala, 2018. "An Analytical Study of Critical Factors Affecting Contractor Efficiency in Construction Projects in Indian Scenario," Organization, Technology and Management in Construction, Sciendo, vol. 10(1), pages 1794-1802, October.
    3. K. C. Lam & T. S. Hu & S. T. Ng, 2005. "Using the principal component analysis method as a tool in contractor pre-qualification," Construction Management and Economics, Taylor & Francis Journals, vol. 23(7), pages 673-684.
    4. Jakrapong Pongpeng & John Liston, 2003. "TenSeM: a multicriteria and multidecision-makers' model in tender evaluation," Construction Management and Economics, Taylor & Francis Journals, vol. 21(1), pages 21-30.
    5. Dariusz Masłowski & Kinga Kijewska & Ewa Kulińska, 2021. "Management of Municipal Public Transport Vehicle Journeys by Using the PERT Method," Energies, MDPI, vol. 14(15), pages 1-18, July.
    6. Aziz Naghizadeh Vardin & Ramin Ansari & Mohammad Khalilzadeh & Jurgita Antucheviciene & Romualdas Bausys, 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects," Sustainability, MDPI, vol. 13(12), pages 1-28, June.

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