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An Ontology-based Approach for Delay Analysis in Construction
Gozde Bilgin,Irem Dikmen,M. Talat Birgonul 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.2
Delay is a common problem of the construction sector and it is one of the major reasons of claims between project participants. Systematic and reliable delay analysis is critical for successful management of claims. In this study, a delay analysis ontology is proposed that may facilitate development of databases, information sharing as well as retrieval for delay analysis within construction companies. A detailed literature review on construction delays has been carried out during the development of the ontology and it is evaluated by using five case studies. The delay analysis ontology may be used for different purposes especially to support decisionmaking during risk and claim management processes. It may enable companies to create their own databases, corporate memories and develop decision support systems for better analysis of delays.
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A Computerized Method for Delay Risk Assessment Based on Fuzzy Set Theory using MS ProjectTM
Cenk Budayan,Irem Dikmen,M. Talat Birgonul,Aydın Ghaziani 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.8
In this paper, we present a computerized method as an add-in to MS ProjectTM for risk identification and estimation of delay. Adelay analysis ontology is incorporated so that the users can identify causes of delay at the activity level and assess frequency andimpact of risks using their previous experience, expertise and judgement. Testing and validation findings demonstrate that thesoftware is easy to use and gives reliable results. Decision-makers can use this software during risk identification and planning phasesto incorporate their judgment about potential risk sources that may lead to project delay. The outputs of the software make it easy fordecision-makers to understand the level of delay risk at the activity level, explore how criticality of activities may change underdifferent risk occurrence scenarios and estimate amount of delay. By utilizing the software, effective risk response and allocationstrategies may be formulated to mitigate the delay risk and communicate delay risk information between various project participants.
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