Contractual Perspective for BIM Utilization in US Construction Projects

Assaad, Rayan H.; El-adaway, Islam H.; Hakea, Ayman H. El; Parker, Matthew J.; Henderson, Tyler I.; Salvo, Christopher; Ahmed, Muaz O.

doi:10.1061/(asce)co.1943-7862.0001927

Cited by 48 publications

(14 citation statements)

References 29 publications

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“…In the planning and design stage, a point cloud is used to reconstruct 3D models of the site and existing buildings [14,15]. In the manufacturing and construction phase, a point cloud is applied for automating construction equipment [13], digital reproduction [4,16], identification of safety hazards [17], monitoring of construction progress [18], and inspection of construction quality [17]. In the operation and maintenance phase, a point cloud is applied for reconstructing 3D architectural structures [15], building performance analyses [19], facility management for 3D model reconstruction [12], and inspection of building quality [18,19].…”

Section: Literature Reviewmentioning

confidence: 99%

“…As BIM models are maintained on servers or separate computers, they cannot be synchronously modified on a job-site. Thus, information transfer from the design office to the engineering office at the construction site is delayed considerably [13]. This delay can be critical in some projects, such as fast-tracked projects, where the design is developed simultaneously with the construction.…”

Section: Introductionmentioning

confidence: 99%

“…Slower data exchange can result in the slowdown or rework of the project [5]. Therefore, developing a method for near real-time monitoring of construction projects and bridging the gap between indoor job-site activities and construction offices represent an urgent need in the construction industry [13]. These activities are conducted inside an enclosed space, limited to conditions of the place it is held in, the number of workers participating in it, objects being constructed, among other activities.…”

Section: Introductionmentioning

confidence: 99%

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Remote Indoor Construction Progress Monitoring Using Extended Reality

Ali

Lee

et al. 2021

Sustainability

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Construction Progress monitoring noticed recent expansions by adopting vision and laser technologies. However, inspectors need to personally visit the job-site or wait for a time gap to process data captured from the construction site to use for inspection. Recent inspection methods lacks automation and real-time data exchange, therefore, it needs inspection manpower for each job-site, the health risk of physical interaction between workers and inspector, loss of energy, data loss, and time consumption. To address this issue, a near real-time construction work inspection system called iVR is proposed; this system integrates 3D scanning, extended reality, and visual programming to visualize interactive onsite inspection for indoor activities and provide numeric data. The iVR comprises five modules: iVR-location finder (finding laser scanner located in the construction site) iVR-scan (capture point cloud data of job-site indoor activity), iVR-prepare (processes and convert 3D scan data into a 3D model), iVR-inspect (conduct immersive visual reality inspection in construction office), and iVR-feedback (visualize inspection feedback from job-site using augmented reality). An experimental lab test is conducted to verify the applicability of iVR process; it successfully exchanges required information between construction job-site and office in a specific time. This system is expected to assist Engineers and workers in quality assessment, progress assessments, and decision-making which can realize a productive and practical communication platform, unlike conventional monitoring or data capturing, processing, and storage methods, which involve storage, compatibility and time-consumption issues.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Remote Indoor Construction Progress Monitoring Using Extended Reality

Ali

Lee

et al. 2021

Sustainability

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“…Many researchers have tried to introduce DSS for multitude of purposes within construction projects (Jelodar et al , 2014), but generally the industry is lacking integrated methodology; especially smarter tools which can automatically act on unstructured input data via available matrices to evaluate, demonstrate and visualise the outcomes in different formats and design scenarios (Kim et al , 2015). The development of DSS can create new uses for data and enhance opportunities in critical issues such as contracting and procurement (Assaad et al , 2020; Price et al , 2017). The complexity of stakeholder interactions, suppliers and different company profiles (Chen et al , 2018; Martinsuo and Ahola, 2010); reinforces the need for more structured and integrated tools.…”

Section: Background; Digital Decision Support Tools In Constructionmentioning

confidence: 99%

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

Jelodar

Wilkinson

Kalatehjari

et al. 2021

BEPAM

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PurposeMany applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications.Design/methodology/approachLiterature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS.FindingsFive major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making.Practical implicationsThe results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes.Originality/valueThis study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.

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“…The model referred to in this study is a digital representation of the physical and functional characteristics of a facility and contains product information related to the facility. BIM centralizes project-related information in digital platforms and requires massive transmission and access to datasets during design to construction work [21]. Therefore, the data will be widely accessible to the project participants involved, and project participants can also utilize the model, including updating, inserting, extracting, or modifying information during the BIM process [18].…”

Section: Introductionmentioning

confidence: 99%

Model Ownership and Intellectual Property Rights for Collaborative Sustainability on Building Information Modeling

2021

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The concept of building information modeling (BIM) requires multidisciplinary collaboration and generates the problem of intellectual property protection for the creator of the model element. Therefore, this research aimed to determine the model ownership factors and intellectual property rights (IPRs) for collaborative sustainability on BIM practices in Indonesia. This research used the qualitative approach of primary data, and questionnaires were distributed to parties involved and experienced with BIM-based projects in Indonesia. The research adopted descriptive and inferential statistics to analyze data obtained from respondents. The results showed that the party that produces the model element is the main factor that owns the model and the IPRs. Meanwhile, the employer will have the right to own the model of BIM in the form of a license, with limited use only for operations, maintenance, and marketing, and they do not have the right to reuse the model for the construction of future projects. This research is expected to contribute to the body of knowledge and provide recommendations for policymaking in construction contracts to better manage BIM-based projects.

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Contractual Perspective for BIM Utilization in US Construction Projects

Cited by 48 publications

References 29 publications

Remote Indoor Construction Progress Monitoring Using Extended Reality

Remote Indoor Construction Progress Monitoring Using Extended Reality

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

Model Ownership and Intellectual Property Rights for Collaborative Sustainability on Building Information Modeling

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