Optimising material procurement for construction waste minimization: An exploration of success factors

Although construction waste occurs during the actual construction activities, there is an understanding that it is caused by activities and actions at design, materials procurement and construction stages of project delivery processes. This study investigates the material procurement and logistics measures for mitigating waste generated by construction activities. In a bid to explore the phenomenon from the perspectives of experts from the construction industry, this study used a combination of descriptive interpretive research and survey approach as its methodological framework. The study suggests that four features characterised waste efficient logistic and procurement process. These include suppliers' commitment to low waste measures, low waste purchase management, effective materials delivery management and waste efficient Bill of Quantity. In addition, the key requisite strategies for mitigating construction waste through materials procurement include commitment to take back scheme , procurement of waste efficient materials/technology and use of minimal packaging. The use of Just-in-Time (JIT) delivery system and prevention of over ordering are also important for mitigating waste through materials procurement processes. These implies that while the key measures are critical success factors for reducing waste through procurement process, the four established features are required of all procurement process. Measures through which the procurement process could enhance waste efficiency are further highlighted and discussed in the paper. Findings of this study could assist in understanding a set of measures that should be taken during materials procurement process, thereby corroborating waste management practices at design and construction stages of project delivery process

A framework for big data analytics approach to failure prediction of construction firms

This study explored use of big data analytics (BDA) to analyse data of a large number of construction firms to develop a construction business failure prediction model (CB-FPM). Careful analysis of literature revealed financial ratios as the best form of variable for this problem. Because of MapReduce’s unsuitability for iteration problems involved in developing CB-FPMs, various BDA initiatives for iteration problems were identified. A BDA framework for developing CB-FPM was proposed. It was validated by using 150,000 datacells of 30,000 construction firms, artificial neural network, Amazon Elastic Compute Cloud, Apache Spark and the R software. The BDA CB-FPM was developed in eight seconds while the same process without BDA was aborted after nine hours without success. This shows the issue of not wanting to use large dataset to develop CB-FPM due to tedious duration is resolvable by applying BDA technique. The BDA CB-FPM largely outperformed an ordinary CB-FPM developed with a dataset of 200 construction firms, proving that use of larger sample size with the aid of BDA, leads to better performing CB-FPMs. The high financial and social cost associated with misclassifications (i.e. model error) thus makes adoption of BDA CB-FPMs very important for, among others, financiers, clients and policy maker

Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements

© 2015 Elsevier B.V. All rights reserved.Construction industry contributes a large portion of waste to landfill, which in turns results in environmental pollution and CO2 emission. Despite the adoption of several waste management strategies, waste reduction to landfill continues seeming an insurmountable challenge. This paper explores factors impeding the effectiveness of existing waste management strategies, as well as strategies for reducing waste intensiveness of the construction industry. Drawing on series of semi structured focus group discussions with experts from the UK leading construction companies, this paper combines phenomenological approach with a critical review and analysis of extant literatures. Five broad categories of factors and practices are responsible for ineffectiveness of construction and demolition waste management strategies, which subsequently results in waste intensiveness of the industry. These include end of pipe treatment of waste, externality and incompatibility of waste management tools with design tools, atomism of waste management strategies, perceived or unexpected high cost of waste management, and culture of waste behaviour within the industry. To reduce waste intensiveness of the construction industry, the study suggests that six factors are requisites. These are tackling of waste at design stage, whole life waste consideration, compliance of waste management solutions with BIM, cheaper cost of waste management practice, increased stringency of waste management legislation and fiscal policies, and research and enlightenment. The proposed strategies are not only important for achieving low waste construction projects, they are important for reducing waste intensiveness of the construction. Implementation of the suggested measures would drive waste management practices within the construction industry

Critical management practices influencing on-site waste minimization in construction projects

© 2016 Elsevier Ltd. As a result of increasing recognition of effective site management as the strategic approach for achieving the required performance in construction projects, this study seeks to identify the key site management practices that are requisite for construction waste minimization. A mixed methods approach, involving field study and survey research were used as means of data collection. After confirmation of construct validity and reliability of scale, data analysis was carried out through a combination of Kruskal-Wallis test, descriptive statistics and exploratory factor analysis. The study suggests that site management functions could significantly reduce waste generation through strict adherence to project drawings, and by ensuring fewer or no design changes during construction process. Provision of waste skips for specific materials and maximisation of on-site reuse of materials are also found to be among the key factors for engendering waste minimization. The result of factor analysis suggests four factors underlying on-site waste management practices with 96.093% of total variance. These measures include contractual provisions for waste minimization, waste segregation, maximisation of materials reuse and effective logistic management. Strategies through which each of the underlying measures could be achieved are further discussed in the paper. Findings of this study would assist construction site managers and other site operatives in reducing waste generated by construction activities

A Cloud-based Collaborative Ecosystem for the Automation of BIM Execution Plan (BEP)

Master Information Delivery Plan (MIDP) is a key requirement for BIM Execution Plan (BEP) that enlists all information deliverables in BIM-based project, containing information about what would be prepared, when, by who, as well as the procedures and protocols to be used. In a well-conceived BEP, the MIDP facilitates collaboration among stakeholders. However, current approaches to generating MIDP are manual, making it tedious, error-prone, and inconsistent, thereby limiting some expected benefits of BIM implementation. The purpose of the present research is to automate the MIDP and demonstrate a collaborative BIM system that overcomes the problems associated with the traditional approach. A BIM cloud-based system (named Auto-BIMApp) involving naming that automated MIDP generation is presented. A participatory action research methodology involving academia and industry stakeholders is followed to design and validate the Auto-BIMApp. A mixed-method experiment is conducted to compare the proposed automated generation of MIDP using Auto-BIMApp with the traditional practice of using spreadsheets. The quantitative results show over 500% increased work efficiency, with improved and error-free collaboration among team members through Auto-BIMApp. Moreover, the responses from the participants using Auto-BIMApp during the experiment shows positive feedback in term of ease of use and automated functionalities of the Auto-BIMApp. The replacement of traditional practices to a complete automated collaborative system for the generation of MIDP, with substantial productivity improvement, brings novelty to the present research. The Auto-BIMApp involve multidimensional information, multiple platforms, multiple types, and levels of users, and generates three different representations of MIDP

Critical Success Factors (CSFs) for Ensuring Bankable Completion Risk in PFI/PPP Mega Projects

This study investigates project financiers’ perspectives on the bankability of completion risk in Private Finance Initiatives and Public Private Partnerships (PFI/PPP) mega projects. Using a mixed methodology approach, focus group discussions with financier stakeholders in UK’s PFI/PPP industry were used to identify 23 criteria relevant for evaluating completion risk in funding applications. These criteria were put in a questionnaire survey to wider audiences of financiers of PFI/PPP projects in the UK. Series of statistical tests were performed, including Reliability Analysis, Kruskal-Wallis Non-Parametric Test, Descriptive Statistics, Principal Rank Agreement Factor (PRAF) and Regressions Analysis. After identifying 21 reliable criteria influencing the bankability of completion risk, the general agreement of three major financier stakeholders (Senior Lenders, Equity Financiers and Infrastructure Financiers) on all the criteria were examined through Kruskal-Wallis test and PRAF. A regression model, constructed and validated with input from another team of expert financiers, revealed five key criteria influencing the bankability of completion risk in PPP mega projects. These include (1) Construction contractor with years of experience of successful completion of mega projects, (2) Construction Contractor’s financial strength, (3) Existence of Tried-and Test Technology for the construction of project, (4) Availability of Independent Technical Consultant (ITC) and (5) Existence of Fixed Price Turn Key (FPTK) construction contract. The research findings will provide PFI/PPP contractors and clients with valuable strategies for satisfying financiers’ requirements in delivering large-scale Infrastructure PPP project

Competency-based measures for designing out construction waste: Task and contextual attributes

© Emerald Group Publishing Limited.Purpose - Competency-based measure is increasingly evident as an effective approach to tailoring training and development for organisational change and development. With design stage widely reckoned as being decisive for construction waste minimisation, the purpose of this paper is to identify designers' competencies for designing out waste. Design/methodology/approach - Due to paucity of research into competency for construction waste mitigation, this study corroborates verbal protocol analyses (VPA) with phenomenological research. Findings - Combining findings from the two methodological approaches, competencies for designing out waste are grouped into five categories, three of which are largely task related and two being contextual competencies. The study suggests that design task proficiency, low waste design skills and construction-related knowledge are indispensable task competencies, while behavioural competence and inter-professional collaborative abilities are requisite contextual competencies for designing out waste. In concurrence with task-contextual theory of job performance, personality variables and cognitive abilities are found to influence one another. This suggests that both task and contextual competencies are not only important, they are less mutually exclusive with respect to designing out waste. Practical implications - This study implies that apart from commitment and dedication of designers to waste minimisation, design and firm practices are expected to be adapted to the industry's standard. Originality/value - Basis for training needs of design professionals as well as redeployment criterion are further elaborated in the paper. By enhancing competencies identified in this study, construction waste would not only be significantly designed out, adequate cost saving could be made as a result of waste reduction

Geographic and temporal trends in the molecular epidemiology and genetic mechanisms of transmitted HIV-1 drug resistance:an individual-patient- and sequence-level meta-analysis

Regional and subtype-specific mutational patterns of HIV-1 transmitted drug resistance (TDR) are essential for informing first-line antiretroviral (ARV) therapy guidelines and designing diagnostic assays for use in regions where standard genotypic resistance testing is not affordable. We sought to understand the molecular epidemiology of TDR and to identify the HIV-1 drug-resistance mutations responsible for TDR in different regions and virus subtypes.status: publishe

Trends in BIM-based Plugins Development for Construction Activities: A Systematic Review

© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article under the CC BY-NC-ND licence. https://creativecommons.org/licenses/by-nc-nd/4.0/With the emergence of vast technological advancements in the construction industry to address construction issues, BIM is foreseen as a potential utilization environment. To expand BIM performance in addressing contemporary construction issues, there is currently an uprising trend of plugin development. This paper reports a systematic review of BIM-based plugins, by exploring their nature, areas of application, and their implication on productivity and efficiency. Using a systematic review approach, the study narrows down vast literature and critically analyses 34 developed plugins from 34 different articles. Findings suggest that custom-build plugins are excelling in vast areas utilizing key construction processes like automation, including Health and Safety and Lifecycle assessments, as they are proven to drive productivity and efficiency towards cost and time savings as well as error minimization. Moreover, based on the commonalities between the extracted plugin systems, a framework that could facilitate a better understanding of the programming dynamics in developing BIM-based plugins is presented. Value: This paper offers future research of the insights needed to better understand the directions of BIM-based plugin development and captures BIM evolvement towards more problem-solving potentials.Peer reviewe