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Abdel-Monem, M and Hegazy, T (2013) Enhancing Construction As-Built Documentation Using Interactive Voice Response. Journal of Construction Engineering and Management, 139(07), 895–8.

Aljassmi, H and Han, S (2013) Analysis of Causes of Construction Defects Using Fault Trees and Risk Importance Measures. Journal of Construction Engineering and Management, 139(07), 870–80.

Chen, L and Fong, P S W (2013) Visualizing Evolution of Knowledge Management Capability in Construction Firms. Journal of Construction Engineering and Management, 139(07), 839–51.

Chen, Q and Jin, R (2013) Multilevel Safety Culture and Climate Survey for Assessing New Safety Program. Journal of Construction Engineering and Management, 139(07), 805–17.

Chi, S, Han, S and Kim, D Y (2013) Relationship between Unsafe Working Conditions and Workers’ Behavior and Impact of Working Conditions on Injury Severity in U.S. Construction Industry. Journal of Construction Engineering and Management, 139(07), 826–38.

Dai, F and Lu, M (2013) Three-Dimensional Modeling of Site Elements by Analytically Processing Image Data Contained in Site Photos. Journal of Construction Engineering and Management, 139(07), 881–94.

El-Abbasy, M S, Zayed, T, Ahmed, M, Alzraiee, H and Abouhamad, M (2013) Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process. Journal of Construction Engineering and Management, 139(07), 755–67.

  • Type: Journal Article
  • Keywords: Contractors; Highways and roads; Monte Carlo method; Simulation; Construction industry; Highway contractors; Contractor selection; Analytic network process (ANP); Monte Carlo simulation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000647
  • Abstract:
    Selecting the appropriate contractor is a significant step to highway project success. The process of selection is subjected to uncertainty and influence of criteria other than bid price. This paper presents an approach to prioritize competitive contractors at the prebidding stage for highway projects by utilizing the analytic network process (ANP) and Monte Carlo simulation. Both techniques are integrated on a single platform to build the proposed model. Initially, the main quantitative and qualitative criteria affecting the contractors’ selection process are identified and studied. The effective criteria in the selection process were obtained from experts and literature. A structured questionnaire was designed and sent to experts in highway projects. The ANP was used to prioritize these criteria subsequently, and Monte Carlo simulation was utilized to develop the selection model. The applicability of the proposed model was tested using four real cases of highway projects. It was concluded that using the lowest bid price as a sole criterion for selecting the best contractors may not result in an optimum solution.

El-Diraby, T E (2013) Domain Ontology for Construction Knowledge. Journal of Construction Engineering and Management, 139(07), 768–84.

Hare, B, Cameron, I, Real, K J and Maloney, W F (2013) Exploratory Case Study of Pictorial Aids for Communicating Health and Safety for Migrant Construction Workers. Journal of Construction Engineering and Management, 139(07), 818–25.

Liu, Y S, Zhao, X F and Liao, Y P (2013) Market Structure, Ownership Structure, and Performance of China’s Construction Industry. Journal of Construction Engineering and Management, 139(07), 852–7.

Migliaccio, G C, Guindani, M, D’Incognito, M and Zhang, L (2013) Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors. Journal of Construction Engineering and Management, 139(07), 858–69.

Rezazadeh Azar, E, Dickinson, S and McCabe, B (2013) Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles. Journal of Construction Engineering and Management, 139(07), 785–94.

Zhang, L, He, J and Zhou, S (2013) Sharing Tacit Knowledge for Integrated Project Team Flexibility: Case Study of Integrated Project Delivery. Journal of Construction Engineering and Management, 139(07), 795–804.