Abstract:Recent studies in construction waste and management (CWM) have mainly investigated the waste management chain from a static perspective and failed to take into account the dynamic nature of parameters and their correlation. In addition, the current studies of building information modeling (BIM)-based CWM failed to analyze the cost–benefits due to the lack of numerical economic benchmarks. To address the gap, this study developed a system dynamic (SD) model to analyze the economic aspects of construction and de… Show more
“…Tang et al [64] provide a research agenda for the connection of IoT devices to BIM models, concluding that the creation of a new set of web services to transport and expose buildings data is a required target. Further efforts will need to be made in the incorporation of Life Cycle Assessment at the design stage directly within BIM models [65][66][67][68][69][70].…”
This paper explores the notion of the modular building construction site as an applied instance of redistributed manufacturing; in so doing, this research seeks to reduce the environmental footprint of building sites, treating them as small digitally connected subunits. In seeking to provide a whole lifecycle appreciation of a construction project, it is noted that the presence of a framework to provide guidance on the consideration of Internet of Things (IoT) data streams and connected construction objects is currently lacking. This paper proposes use of embedded IoT enabled sensing technology within all stages of a modular building lifecycle. An expanded four-phase model of intelligent assets use in construction is proposed along with an outline of the required data flows between the stages of a given building’s entire lifecycle that need to be facilitated for a BIM (Buildings Information Modelling) representation to begin to describe a building project as a sustainable asset within the circular economy. This paper also describes the use of concrete as a modular sensing structure; proposing that health monitoring of the material in situ along with the recoding of environmental factors over time could help to extend the longevity of such structures.
“…Tang et al [64] provide a research agenda for the connection of IoT devices to BIM models, concluding that the creation of a new set of web services to transport and expose buildings data is a required target. Further efforts will need to be made in the incorporation of Life Cycle Assessment at the design stage directly within BIM models [65][66][67][68][69][70].…”
This paper explores the notion of the modular building construction site as an applied instance of redistributed manufacturing; in so doing, this research seeks to reduce the environmental footprint of building sites, treating them as small digitally connected subunits. In seeking to provide a whole lifecycle appreciation of a construction project, it is noted that the presence of a framework to provide guidance on the consideration of Internet of Things (IoT) data streams and connected construction objects is currently lacking. This paper proposes use of embedded IoT enabled sensing technology within all stages of a modular building lifecycle. An expanded four-phase model of intelligent assets use in construction is proposed along with an outline of the required data flows between the stages of a given building’s entire lifecycle that need to be facilitated for a BIM (Buildings Information Modelling) representation to begin to describe a building project as a sustainable asset within the circular economy. This paper also describes the use of concrete as a modular sensing structure; proposing that health monitoring of the material in situ along with the recoding of environmental factors over time could help to extend the longevity of such structures.
“…Punnyasoma [35] used BIM for QTO and cost evaluation, and LCC to find the highest costeffective solution with lowest LCC for VM. The final concept found was construction and demolition waste management (CDWM) studied by Zoghi [36], reducing CDW costs using a BIM-based waste management system, and evaluating LCC effective solutions.…”
Section: Synergic Use Of Bim and Wlcmentioning
confidence: 99%
“…[3,34,35,[70][71][72][73] Waste management (WM) Concept relating to the optimization and reduction of construction waste production, reuse, recycling and disposal. [31,36]…”
Life Cycle Costing (LCC) is a cost estimating approach for project and asset planning and delivery that considers the direct and indirect costs incurred over the entire life cycle of an asset. This approach can be expanded to the concept of Whole Life Cost (WLC), which additionally considers externalities and benefits. WLC can demonstrate the financial impacts, both positive and negative, of a project on its environment, in other words it can show its complete value. Despite its potential, the approach is still perceived as complex because, among other things, access to data can be difficult and the approach is still not supported by a standardized methodology. Building Information Modeling (BIM) could be used to address these issues as both WLC and BIM are deemed complementary. BIM provides WLC with better data management, improved calculation accuracy and visualization of project impacts. In return, WLC improves project understanding, decision making and reinforces life cycle thinking. This paper aims to study the potential synergies between BIM and WLC through a systematic literature review. The identification of these synergies helped form a frame of reference to better understand the opportunities that this combination can offer. Future studies would be needed to explore the application of BIM and WLC at different project scales and identify the context in which the combination of BIM and WLC is the most beneficial.
“…Yeung et al (2015) presented a decision-making framework to evaluate the economic, environmental and social vitality of applying a deconstruction process in steel-framed buildings. Considering the possibility of reusing or recycling consumed materials at the end of buildings’ life, Zoghi and Kim (2020) assessed the economic benefits of deconstruction implementation.…”
During last decade, design for deconstruction (DfD) has attracted the attention of researchers and project managers as an environmentally friendly alternative to the conventional demolition of buildings. Yet, the intensity of raw materials consumption, waste generation and greenhouse gas (GhG) emission in the construction industry proves that current methods of selecting building components have failed to make the deconstruction effectively feasible. Specifically, in the material selection process, most research studies concentrate on assessing environmental and economic aspects while in selecting material for DfD various factors must be considered. To overcome this gap, this study aims to propose a DfD-based material selection model which enables designers to choose materials that make the recyclability and reusability of building components feasible. To this end, the Kano model is first applied to categorize selection criteria identified via a questionnaire. After extracting the weights of criteria by using Fuzzy-Analytical Hierarchy Process, a Technique for Order Preference by Similarity to the Ideal Solution-based multi-criteria decision-making framework is proposed for choosing the best possible alternatives. Based on the research results, the framework enables designers to find decent materials in terms of DfD requirements. A numerical example is also provided to examine the proposed framework for selecting the most appropriate materials for walls.
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