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Abdel-Wahab, M and Vogl, B (2011) Trends of productivity growth in the construction industry across Europe, US and Japan. Construction Management and Economics, 29(06), 635–44.

Bajjou, M S and Chafi, A (2022) Exploring the critical waste factors affecting construction projects. Engineering, Construction and Architectural Management, 29(06), 2268-99.

Camilleri, M, Jaques, R and Isaacs, N (2001) Impacts of climate change on building performance in New Zealand. Building Research & Information, 29(06), 430–50.

Chi, C S F and Nicole Javernick‐Will, A (2011) Institutional effects on project arrangement: high‐speed rail projects in China and Taiwan. Construction Management and Economics, 29(06), 595–611.

Edwards, D J (2001) Predicting construction plant maintenance expenditure. Building Research & Information, 29(06), 417–27.

Ekanayake, E M A C, Shen, G, Kumaraswamy, M and Owusu, E K (2022) A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong. Engineering, Construction and Architectural Management, 29(06), 2358-81.

Gambatese, J A and Hallowell, M (2011) Enabling and measuring innovation in the construction industry. Construction Management and Economics, 29(06), 553–67.

Gidigah, B K, Agyekum, K and Baiden, B K (2022) Defining social value in the public procurement process for works. Engineering, Construction and Architectural Management, 29(06), 2245-67.

Gundes, S (2011) Input structure of the construction industry: a cross‐country analysis, 1968–90. Construction Management and Economics, 29(06), 613–21.

Hartono, B and Yap, C M (2011) Understanding risky bidding: a prospect‐contingent perspective. Construction Management and Economics, 29(06), 579–93.

Mohamed, E, Jafari, P and Hammad, A (2022) Mixed qualitative–quantitative approach for bidding decisions in construction. Engineering, Construction and Architectural Management, 29(06), 2328-57.

Murray, B and Smyth, H (2011) Franchising in the US remodelling market: growth opportunities and barriers faced by general contractors. Construction Management and Economics, 29(06), 623–34.

Musarat, M A, Alaloul, W S and Liew, M S (2022) Inflation rate and labours’ wages in construction projects: economic relation investigation. Engineering, Construction and Architectural Management, 29(06), 2461-94.

Navandar, Y V, Bari, C and Gaikwad, P G (2022) Failure factors–a comparative study of private and government construction firms. Engineering, Construction and Architectural Management, 29(06), 2495-513.

Rezakhani, P (2022) Project scheduling and performance prediction: a fuzzy-Bayesian network approach. Engineering, Construction and Architectural Management, 29(06), 2233-44.

  • Type: Journal Article
  • Keywords: Bayesian network; decision support tool; fuzzy set theory; project control; project scheduling; risk assessment
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-07-2020-0540
  • Abstract:

    Purpose: Despite the extensive research in project risk management and availability of several techniques and tools, quantifying uncertainty in project schedules remains a challenge. Current risk analysis models suffer from several shortcomings that need to be addressed to provide more reliable and valid schedules. This paper aims to present a dynamic decision support system with the purpose of providing project managers with necessary tool for making real-time informed decisions. Design/methodology/approach: The proposed approach incorporates the widely accepted critical path method (CPM) calculations in a Bayesian network (BN). BN is employed to conduct inferencing and causal analysis and provide probabilistic results, which can improve the decision-making process. Time parameters of each activity in the CPM network is modeled by a set of simulation nodes in the BN. Prior probability distribution of activities duration is extracted from experts using a fuzzy analytical solution. Findings: The model proposed in this paper is able to address some key outstanding issues of current project scheduling techniques through: (1) modeling the causality among different sources of schedule uncertainty, (2) minimizing uncertainty in experts’ evaluations, (3) assessing effects of unknown risk factors and (4) using actual activity data for learning the behavior of project and predicting crew productivity. Originality/value: The purposed methodology provides a framework for the new generation of project schedule analysis tools that are better informed by available knowledge and data, and hence, more reliable and useful.

Scheublin, F J M (2001) Project alliance contract in The Netherlands. Building Research & Information, 29(06), 451–5.

Shouman, B, Othman, A A E and Marzouk, M (2022) Enhancing users involvement in architectural design using mobile augmented reality. Engineering, Construction and Architectural Management, 29(06), 2514-34.

Taher, A, Vahdatikhaki, F and Hammad, A (2022) Formalizing knowledge representation in earthwork operations through development of domain ontology. Engineering, Construction and Architectural Management, 29(06), 2382-414.

van Manen, M, olde Scholtenhuis, L and Voordijk, H (2022) Empirically validating five propositions regarding 3D visualizations for subsurface utility projects. Engineering, Construction and Architectural Management, 29(06), 2535-53.

Wang, K, Ke, Y, Liu, T and Sankaran, S (2022) Social sustainability in Public–Private Partnership projects: case study of the Northern Beaches Hospital in Sydney. Engineering, Construction and Architectural Management, 29(06), 2437-60.

Wang, Z, Xie, W and Liu, J (2022) Regional differences and driving factors of construction and demolition waste generation in China. Engineering, Construction and Architectural Management, 29(06), 2300-27.

Westberg, K, Noren, J and Kus, H (2001) On using available environmental data in service life estimates. Building Research & Information, 29(06), 428–39.

Yap, J B H, Skitmore, M, Lim, Y W, Loo, S C and Gray, J (2022) Assessing the expected current and future competencies of quantity surveyors in the Malaysian built environment. Engineering, Construction and Architectural Management, 29(06), 2415-36.

Zhang, H, Xing, F and Liu, J (2011) Rehabilitation decision-making for buildings in the Wenchuan area. Construction Management and Economics, 29(06), 569–78.