Abstract
Schedule analysts often resolve diverse schedule delay problems in construction projects based on their subjective experiences. Although various process-based and mathematical-model schedule delay analysis methods are available for effective schedule delay analysis, these methods require time-consuming manual operation. The use of computer-based schedule delay analysis methods seems to be a solution. However, schedule analysts still have difficulty developing computer-based schedule delay analysis methods. Therefore, this study applies information flow analysis to classify the necessary work to develop computer-based schedule delay analysis methods. In contrast to numerous studies that focus only on computerizing a process-based or a mathematical-model schedule delay analysis method, this study constructs a computer-based method that integrates two process-based schedule delay analysis methods simultaneously. In a tested case study, the delay liability for the project owner and contractor was classified successfully. Importantly, this study provides a useful reference for similar applications in project management.
Highlights
Two questionnaire surveys (Bordoli, Baldwin 1998; Liberatore et al 2001) indicated that more than 60% of the respondents used various project management programs for schedule planning
When schedule delays hinder construction projects, schedule analysts still have difficulty analyzing schedule delays, since most project management programs are infeasible for claim preparations and dispute resolution (Vidogah, Ndekugri 1998)
For the two recognized problems, this study proposes an approach, that is, information flow analysis, to help schedule analysts understand the work necessary to develop computer-based schedule delay analysis methods
Summary
Two questionnaire surveys (Bordoli, Baldwin 1998; Liberatore et al 2001) indicated that more than 60% of the respondents used various project management programs for schedule planning. Various schedule delay analysis methods have been developed to solve different schedule delay problems. These methods can be classified into three categories (Yang, Kao 2009):. Oliveros and Fayek (2005) assessed delay impacts based on a fuzzy logic approach; – Computer-based schedule delay analysis methods. These provide numerous programs that enable schedule analysts to perform fixed functions in order to obtain analysis results efficiently. This study still recognizes two problems when schedule analysts apply computer-based schedule delay analysis methods. Conclusions are drawn in the final section, along with recommendations for future research
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