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In the contemporary landscape of construction project management, the strategic integration of Building Information Modeling (BIM) methodology has emerged as a fundamental avenue to improve operational efficiency. This study evaluates the feasibility and effectiveness of the implementation of the BIM methodology in improving the management of construction projects in construction companies in Peru. Using an applied approach underscored by a quantitative and correlational non-experimental design, a comprehensive survey was administered to 415 workers. This survey focused on evaluating the dimensions of BIM (3D, 4D, and 5D), as well as the fundamental facets of project management that encompass planning and execution. The results reveal that 47% of respondents highlighted deficiencies within the 3D BIM dimension, indicating potential challenges in visualizing and understanding the design. Likewise, 49% of participants highlighted deficiencies within the 4D BIM dimension, shedding light on issues related to time coordination and strategic planning. Around 57% expressed reservations about the 5D BIM dimension, highlighting the complexities surrounding accurate cost estimation and financial management. The synthesis of these revelations underscores an urgent call for specific interventions to rectify these specific areas. This involves investing in cutting-edge BIM technology tools and the simultaneous provision of targeted training programs for stakeholders to increase their multi-dimensional view of BIM. Ultimately, the study results drive innovation, thus opening the prospect of a more sustainable and streamlined construction industry.
In the contemporary landscape of construction project management, the strategic integration of Building Information Modeling (BIM) methodology has emerged as a fundamental avenue to improve operational efficiency. This study evaluates the feasibility and effectiveness of the implementation of the BIM methodology in improving the management of construction projects in construction companies in Peru. Using an applied approach underscored by a quantitative and correlational non-experimental design, a comprehensive survey was administered to 415 workers. This survey focused on evaluating the dimensions of BIM (3D, 4D, and 5D), as well as the fundamental facets of project management that encompass planning and execution. The results reveal that 47% of respondents highlighted deficiencies within the 3D BIM dimension, indicating potential challenges in visualizing and understanding the design. Likewise, 49% of participants highlighted deficiencies within the 4D BIM dimension, shedding light on issues related to time coordination and strategic planning. Around 57% expressed reservations about the 5D BIM dimension, highlighting the complexities surrounding accurate cost estimation and financial management. The synthesis of these revelations underscores an urgent call for specific interventions to rectify these specific areas. This involves investing in cutting-edge BIM technology tools and the simultaneous provision of targeted training programs for stakeholders to increase their multi-dimensional view of BIM. Ultimately, the study results drive innovation, thus opening the prospect of a more sustainable and streamlined construction industry.
Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes in the Architecture, Engineering, Construction and Operations sector. This study is concerned with the development of a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, and the Internet of Things to implement space management strategies. It proposes an application case for the Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim is to create an accurate digital replica of the building based on BIM, integrated with real-time data. This will help to improve the use of space, the management of resources, and the quality of services provided to the community. It also improves energy efficiency, reducing consumption by 530.40 MWh per year and reducing greenhouse gas emissions by 641.32 tons of CO2 per year. The research proposes a holistic framework for the implementation of innovative solutions in the context of public infrastructure space management through the use of digital technology, facilitating the promotion of efficiency and sustainability in decision-making and operational processes through the application of a digital methodology.
Increasing efforts have been devoted to promoting sustainable demolition waste management (DWM) from a life cycle thinking perspective. To this end, facilitating sustainability-oriented decision-making for DWM planning requires a sustainability assessment framework for assessing the trade-offs among multifaceted criteria. This study develops a BIM-based DWM sustainability assessment approach to facilitate the life cycle sustainability assessment (LCSA) and decision-making by integrating LCSA-related properties and hybrid Multi-Criteria Decision-Aiding (MCDA) methods into a BIM environment using Dynamo visual scripting. A dynamic linkage is developed in the streamlined BIM-based LCSA process, where the enriched Industry Foundation Class (IFC) models are coupled with custom LCSA data templates to achieve seamless data exchange between the BIM platform and external LCA tools. Subsequently, hybrid MCDA methods convert the assessment results into DWM scenario ranking. A pilot study verifies the applicability of the BIM-based framework. The results unveil that the sustainability score ascended with the recycling rate. The optimal DWM alternative with the highest recycling rate yields the highest sustainability score at 91.63. Conversely, a DWM alternative reflecting the ‘status quo’ in China’s recycling industry has the lowest score at 8.37, significantly lower than the baseline scenario with a 50% recycling rate. It is worth noting that the ‘growth curve’ of the sustainability score continuously flattens as the target recycling rate escalates. The increment in recycling rate from the “Australian standard” scenario to the optimal scenario is 18.4%, whereas the sustainability score merely increases by 2.3%, implying that the former scenario arrived at an optimum point for maximising the cost-efficiency of DWM under the predefined settings.
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