Miroslaw J. Skibniewski

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This paper presents a systemic decision support approach for safety risk analysis under uncertainty in tunnel construction. Fuzzy Bayesian Networks (FBN) is used to investigate causal relationships between tunnel-induced damage and its influential variables based upon the risk/hazard mechanism analysis. Aiming to overcome limitations on the current(More)
Current initiatives for e-commerce deployment in the construction industry are related to the establishment of business-to-business (B2B) marketplaces, which allow large communities of buyers and suppliers to meet and trade with each other. Even though these efforts have included aspects of interoperability, database management and security protocols,(More)
This paper presents a novel and systemic decision support model based on Bayesian Networks (BN) for safety control in dynamic complex project environments, which should go through the following three sections. At first, priori expert knowledge is integrated with training data in model design, aiming to improve the adaptability and practicability of model(More)
Manual processes of quantity take-off, bidding and quantity revision of construction materials are the cause of numerous conflicts among construction process stakeholders. This research aims at redesigning these processes in the direction of a collaborative approach using e-Commerce technology. Relevant B2B approaches need to incorporate tools that minimize(More)