Risks and uncertainties are inevitable in construction projects and can drastically change the expected outcome, negatively impacting the project’s success. However, risk management (RM) is still conducted in a manual, largely ineffective, and experience-based fashion, hindering automation and knowledge transfer in projects. The construction industry is benefitting from the recent Industry 4.0 revolution and the advancements in data science branches, such as artificial intelligence (AI), for the digitalization and optimization of processes. Data-driven methods, e.g., AI and machine learning algorithms, Bayesian inference, and fuzzy logic, are being widely explored as possible solutions to RM domain shortcomings. These methods use deterministic or probabilistic risk reasoning approaches, the first of which proposes a fixed predicted value, and the latter embraces the notion of uncertainty, causal dependencies, and inferences between variables affecting projects’ risk in the predicted value. This research used a systematic literature review method with the objective of investigating and comparatively analyzing the main deterministic and probabilistic methods applied to construction RM in respect of scope, primary applications, advantages, disadvantages, limitations, and proven accuracy. The findings established recommendations for optimum AI-based frameworks for different management levels—enterprise, project, and operational—for large or small data sets.
A significant body of literature addresses the application of lean thinking to improving the interface between detailed design and construction production, yet none specifically focuses on remote site projects. These projects range from tourism and scientific investigation to resource exploration developments. The challenges confronting the project teams tend to fit within a sociologically oriented world where designers respond to functional, aesthetic and environmental concerns, or within a production oriented world, where strategic decisions made during the early stages of a project impact markedly upon construction, logistics and sustainability. The research aimed to establish how the integration of lean design and design management thinking influenced the development of a conceptual design management model for remote site projects, and the level of rigour achieved 'in the field' when tested. A postdoctoral reflective review is made of a selection of the reviewed literature, the methodology/process undertaken in the model development and testing stages, and the findings from two case studies used when testing the developed model. Semi-structured interviews were conducted with selected 'working-in-the-field' participants across a diverse range of remote site projects; the model was found to be robust and portable.
Each year, construction and demolition (C&D) waste contributes at least 25,000 tonnes to the total amount of plastic landfilled in Auckland, New Zealand. The growing use of plastic in the packaging of building materials, use of polystyrene and products, such as building wrap, are contributing to this. Unlike countries such as the UK, most construction waste in New Zealand is not sorted on-site, and C&D waste is often co-mingled; therefore, minimal analysis on the recoverability of plastics has been attempted. This study identified and quantified the plastic waste stream produced from four construction sites, generated from various stages of construction in Auckland, New Zealand. Plastic waste was taken over three construction stages including demolition, exterior and weatherproofing and services and cladding, amounting to 112 kg (or 11.2 m3). The main types of plastic analysed were polyethylene, contributing 77% (by mass), and polyvinyl chloride, representing 31% (by mass). The main reason for the generation of plastic waste across the four sites was highly variable and dependent on construction stage. However, it was apparent that plastic packaging of materials was not the single area of concern, and plastic building componentry and protection materials should also be investigated for their contribution. This study supports the requirement for improved understanding and awareness around the composition and fate of plastic C&D waste. Long-term benefits to the construction industry are from raising awareness of the potential to make profits from valuable waste products and to improve environmental performance and reputation, for a competitive advantage in New Zealand.
By 2012, the annual quantity of C&D waste produced by 40 countries had reached three billion tonnes, contributing 10-50% to total municipal solid waste around the world. Recent data from Australia and New Zealand estimated a combined contribution of approximately 28 million tonnes C&D waste to landfill for just 0.4% of the world’s population. If C&D waste was produced at an equal rate around the world, global production could be close to seven billion tonnes. In 2015, the global production of plastic waste from building and construction was 13 million tonnes. It is estimated that annually, C&D waste contributes ≥25,000 tonnes to the total amount of plastic landfilled in one major city (Auckland) alone. Waste audits from four sites demonstrated that this was predominantly polyethylene (PE) or polyvinyl chloride (PVC), and was derived from packaging, building componentry and building protection equally. The aims of this study were to implement a ‘foundations to completion’ plastic waste audit on a new secondary school in Auckland, New Zealand. This sheds light on the nature of the plastic waste, e.g., type, use and potential for recyclability or reuse. The aim was to also identify the challenges in the construction industry that hinder effective waste diversion from landfill, and to trial practical on-site solutions.
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