Experts’ Perceptions of the Management and Minimisation of Waste in the Australian Construction Industry

Jahan, Israt; Zhang, Kevin; Bhuiyan, Mohammad Amir Hossain; Navaratnam, Satheeskumar; Shi, Long

doi:10.3390/su141811319

Cited by 10 publications

(6 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 9 shows the geometric mean of fuzzy comparison values for each criterion ( ∼ r i ), the vector summation of each r i and the inverse power of the summation vector in increasing order. Step 5: Calculate the fuzzy weight of each criterion, ∼ w i , using Equation (14). Below is the computation of the fuzzy weight for the Economic criterion: ∼ w i = (1.1809(0.1371), 1.5357(0.1669), 1.8832(0.2117)) = (0.1619, 0.2563, 0.3987)…”

Section: Implementation Of the Fuzzy Analytic Hierarchy Process (Fahp...mentioning

confidence: 99%

See 1 more Smart Citation

Developing a Decision-Making Support System for a Smart Construction and Demolition Waste Transition to a Circular Economy

Boonkanit,

Suthiluck

2023

Sustainability

View full text Add to dashboard Cite

This research work aimed to develop a decision support system (DSS) to select the most appropriate concrete waste management method, which is the most critical issue in the construction industry. The research process began with the study of the current situation of concrete waste management problems. Related theories and literature were reviewed, and experts were interviewed in depth. After that, the Delphi technique and the fuzzy analytic hierarchy process (FAHP) were used to analyze the decision-making structure and consider factors related to the waste management methods. Then, the FAHP process was analyzed, calculated, and prioritized using MS Excel until the results were obtained. Finally, decision structures were shown, evaluated, and prioritized using a case study by a group of experts belonging to the Thai circular economy construction industry (CECI). The contribution of this research line in the DSS model is by analyzing, calculating, and finding the most appropriate alternative solution for the construction waste industry. Limitations, recommendations, and future research directions are also presented.

show abstract

Section: Implementation Of the Fuzzy Analytic Hierarchy Process (Fahp...mentioning

confidence: 99%

“…During the year 2018-2019, Australia created 27 million tons of demolition waste (44% of total waste). Even though 76% of this waste was recycled, the waste increased by 61% from 2006 to 2017 [14]. In 1998, Hong Kong produced 32,710 tons of construction and demolition waste per year.…”

Section: Introductionmentioning

confidence: 99%

Developing a Decision-Making Support System for a Smart Construction and Demolition Waste Transition to a Circular Economy

Boonkanit,

Suthiluck

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…According to the Environmental Protection Agency, the United States alone produces over 600 million tons of construction and demolition waste annually [4]. A recent study demonstrated that the use of prefabricated elements could significantly reduce construction waste by up to 83.2% when compared to in situ concrete casting panels [5]. This reduction could be attributed to the controlled factory manufacturing of prefabricated elements, which avoids weather-related damage and facilitates effective recycling practices [6].…”

Section: Introductionmentioning

confidence: 99%

Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data

Thedja

Sim

et al. 2023

Sustainability

View full text Add to dashboard Cite

The accurate estimation of edge lines in precast bridge slabs based on laser scanning is crucial for a geometrical quality inspection. Normally, the as-designed model of precast slabs is used to match with laser scan data to estimate the edge lines. However, this approach often leads to an inaccurate quality measurement because the actually produced slab can be dimensionally different from the as-designed model or the inexistence of the as-designed model. In order to overcome this limitation, this study proposes a novel algorithm that generates and utilizes range images generated from scan points to enhance accuracy. The proposed algorithm operates as follows: first, the scan points are transformed into a range of images, and the corner points of these range images are extracted using a Harris corner detector. Next, the dimensions of the precast bridge slab are computed based on the extracted corner points. Consequently, the extracted corner points from the range images serve as an input for edge line estimation, thereby eliminating the matching errors that could arise when aligning collected scan points to an as-designed model. To evaluate the feasibility of the proposed edge estimation algorithm, a series of tests were conducted on both lab-scale specimens and field-scale precast slabs. The results showed promising accuracy levels of 1.22 mm for lab-scale specimens and 3.10 mm for field-scale precast bridge slabs, demonstrating more accurate edge line estimation results compared to traditional methods. These findings highlight the feasibility of employing the proposed image-aided geometrical inspection method, demonstrating the great potential for application in both small-scale and full-scale prefabricated construction elements within the construction industry, particularly during the fabrication stage.

show abstract

“…It has been suggested that the construction sector might tackle these emissions by optimizing supplier and client logistics, ensuring maximum efficiency in each load of resources delivered, resulting in minimal capacity wasted and less unnecessary travel to and from sites [48,49]. Hence, the need for regulatory policies and support for builders to improve their material supply management has been recognised in the current literature [50][51][52].…”

Section: Introductionmentioning

confidence: 99%

“…Use of these fossil fuels during building erection leads to significant contributions of GHG emissions, which are considered as embodied flows of the building itself [33,54,55]. The erection stage of the project is also generally the creator of waste, which has been seen as an indirect embodied flow creator [50,56]. If not appropriately managed through environmentally responsive approaches, waste can lead to further energy use and emissions generation [13,25,44,[56][57][58][59][60].…”

Section: Introductionmentioning

confidence: 99%

Global Policy Review on Embodied Flows: Recommendations for Australian Construction Sector

2022

View full text Add to dashboard Cite

There has been a call for the construction industry to become more energy efficient in its planning and activities, to reduce greenhouse gas emissions to help combat climate change. The Australian Building Codes Board has implemented ‘Energy Efficiency’ standards through the National Construction Codes to direct the industry towards net zero emissions goals. However, the Board has maintained a focus on operational flows considerations despite this only being a part of the total expenditure in a building lifecycle. Embodied flows, the energy output, and emissions from harvesting, manufacturing, transporting, and manufacturing materials for a building have not been included as a part of the current standards despite their growing share in the outputs of construction. A qualitative document analysis using data from academic articles and industry publications was performed to identify the context in embodied policy development. Findings reveal an abundance of different legislations and initiatives globally, recommending techniques that may effectively achieve embodied flow reductions. The results highlighted that Australia needs to capitalize on the potential reductions in overall energy and emissions from construction. Other regions have provided a strategic and legislative basis for the industry to emulate.

show abstract

Experts’ Perceptions of the Management and Minimisation of Waste in the Australian Construction Industry

Cited by 10 publications

References 67 publications

Developing a Decision-Making Support System for a Smart Construction and Demolition Waste Transition to a Circular Economy

Developing a Decision-Making Support System for a Smart Construction and Demolition Waste Transition to a Circular Economy

Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data

Global Policy Review on Embodied Flows: Recommendations for Australian Construction Sector

Contact Info

Product

Resources

About