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Aibinu, A A, Dassanayake, D, Chan, T-K and Thangaraj, R (2015) Cost estimation for electric light and power elements during building design: A neural network approach. Engineering, Construction and Architectural Management, 22(02), 190-213.

Alharbi, M, Emmitt, S and Demian, P (2015) What is architectural management? Towards a pragmatic definition. Engineering, Construction and Architectural Management, 22(02), 151-68.

Ling, F Y Y, Tan, P C, Ning, Y, Teo, A and Gunawansa, A (2015) Effect of adoption of relational contracting practices on relationship quality in public projects in Singapore. Engineering, Construction and Architectural Management, 22(02), 169-89.

Rajeh, M, Tookey, J E and Rotimi, J O B (2015) Estimating transaction costs in the New Zealand construction procurement: A structural equation modelling methodology. Engineering, Construction and Architectural Management, 22(02), 242-67.

Salah, A and Moselhi, O (2015) Contingency modelling for construction projects using fuzzy-set theory. Engineering, Construction and Architectural Management, 22(02), 214-41.

  • Type: Journal Article
  • Keywords: construction; fuzzy sets; contingency planning; management; estimating; uncertainty modelling
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/ECAM-03-2014-0039
  • Abstract:
    Purpose - The purpose of this paper is to present a newly developed fuzzy-set based model for estimating, allocating, depleting, and managing contingency fund over the life cycle of construction projects. Design/methodology/approach - Fuzzy set theory is utilized in the design and development of proposed contingency modelling framework to incorporate uncertainties associated with the development phases of construction projects. A set of developed indices, measures, and ratios are introduced to quantify and characterize these uncertainties. The developed framework is designed to incorporate expert opinion and provide user-system interaction. Findings - The results obtained from the application of the developed framework on actual project case not only illustrate its accuracy, but also demonstrate its capabilities for contingency management over life cycle of construction projects. Unlike other methods, the framework provides project managers with structured method for contingency depletion utilizing a set of depletion curves and selection factors. Originality/value - The novelty of the developed framework lies not only in its new developments for contingency estimating but also its modelling for contingency allocation and depletion. It is expected to be of direct value to industry professionals and academics interested in contingency management over the entire life cycle of construction projects. The proposed framework provides management functions and features beyond those generated through Monte Carlo simulation and even those developed using fuzzy set theory.

Singh, V and Holmström, J (2015) Needs and technology adoption: Observation from BIM experience. Engineering, Construction and Architectural Management, 22(02), 128-50.