Worksite Accident Impacts on Construction and Infrastructure: Nondeterministic Analysis of Subsectors and Organization Sizes

Alkaissy, Maryam; Arashpour, Mehrdad; Zeynalian, Mehran; Li, Heng

doi:10.1061/(asce)co.1943-7862.0002269

Cited by 5 publications

(2 citation statements)

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“…In the past two decades, the construction schedule is considered to be affected by many factors in the actual construction, which makes it difficult for managers to deal with it properly in the project operation (Alkaissy et al, 2022;Sinesilassie et al, 2017). Nowadays, construction schedule control acts as a more critical part of project management, however, the schedule determination of most projects still mainly depends on the experience, professional skills, and judgment of the schedule planners (Kim et al, 2021;Senouci and Mubarak, 2016;Tang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Automatic generation of BIM-based construction schedule: combining an ontology constraint rule and a genetic algorithm

Guo²

2022

ECAM

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PurposeThe purpose of this study is to automatically generate a construction schedule by extracting data from the BIM (Building Information Modeling) model and combining an ontology constraint rule and a genetic algorithm (GA).Design/methodology/approachThis study developed a feasible multi-phase framework to generate the construction schedule automatically through extracting information from the BIM, utilizing the ontology constraint rule to demonstrate the relationships between all the components and finally using the GA to generate the construction schedule.FindingsTo present the functionality of the framework, a prototype case is adopted to show the whole procedure, and the results show that the scheme designed in this study can quickly generate the schedule and ensure that it can satisfy the requirements of logical constraints and time parameter constraints.Practical implicationsA proper utilization of conceptual framework can contribute to the automatic generation of construction schedules and significantly reduce manual errors in the Architectural, Engineering, and Construction (AEC) industry. Moreover, a scheme of BIM-based ontology and GA for construction schedule generation may reduce additional manual work and improve schedule management performance.Social implicationsThe hybrid approach combines the ontology constraint rule and GA proposed in this study, and it is an effective attempt to generate the construction schedule, which provides a direct indicator for the schedule control of the project.Originality/valueIn this study, the data application process of the BIM model is divided into four modules: extraction, processing, optimization, and output. The key technologies including secondary development, ontology theory, and GA are introduced to develop a multi-phase framework for the automatic generation of the construction schedule and to realize the schedule prediction under logical constraints and duration interference.

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