A Holistic Framework for the Implementation of Big Data throughout a Construction Project Lifecycle

Hatoum, Makram Bou; Piskernik, Melanie; Nassereddine, Hala

doi:10.22260/isarc2020/0178

Cited by 16 publications

(22 citation statements)

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“…Prior to the COVID-19 pandemic, there was a pressing need in the construction industry to increase productivity, improve project performance, address labor shortage, reduce fragmentation, introduce standardization, and increase collaboration (Oesterreich and Teuteberg, 2016;Barbosa et al, 2017;Nassereddine et al, 2020aNassereddine et al, , 2020bEl Jazzar et al, 2020aBou Hatoum et al, 2020;Hatoum and Nassereddine, 2020;Sawhney et al, 2020). In addition to that, the labor-intensive nature of construction projects and the dynamic nature of construction sites make the construction industry one of most hazardous industries in the world (OSHA, 2019;OSHA, 2020a;Eurostat, 2020;.…”

Section: Introductionmentioning

confidence: 99%

Analysis of COVID-19 Concerns Raised by the Construction Workforce and Development of Mitigation Practices

Hatoum

Ali

Nassereddine

et al. 2021

Front. Built Environ.

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The coronavirus outbreak has created a global health crisis that has disrupted all industries, including the construction industry. Following the onset of the pandemic, construction workers faced and continue to face unprecedented safety and health challenges. Therefore, construction employers established new safety precautions to protect the health and safety of the workforce and minimize the spread of the virus. The new precautions followed the advice and guidelines offered by different health and safety agencies like the Occupational Safety and Health Administration (OSHA), Centers of Disease Control and Prevention (CDC), and the Associated General Contractors of America (AGC). With construction projects resuming operations, it becomes important to analyze the coronavirus-related health and safety concerns of construction workforce and understand how the new safety procedures can assist on jobsites. Existing studies mostly focused on interviews and surveys with construction companies to understand the impact on project performance and supply chains. However, no study has yet to analyze the United States construction workforce. This paper fills the gap by providing a qualitative descriptive analysis of the COVID-19 complaints data gathered by OSHA from construction jobsites. Information gathered by OSHA includes the jobsite location, the North American Industry Classification System (NAICS) of the construction company, the type of the complaint (i.e., formal or non-formal), and a thorough description of the complaint. N-grams were employed to analyze the complaints, detect trends, and compile a list of the most frequent concerns reported by the workforce. The analysis of the complaints data identifies safety practices that were most violated, highlights major safety and health concerns for construction workers, and pinpoints geographical areas that have seen a surge in complaints. The study also synthesized the existing research corpus and compiled a list of 100 best practices that construction employers can adopt to mitigate the concerns of the workforce. The findings of this study provide insights into the safety and health trends on construction sites, lay the foundation for future work of academicians and practitioners to address the concerns faced by construction workers, and serve as lessons learned for the industry in the case of any future pandemic.

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Section: Introductionmentioning

confidence: 99%

Analysis of COVID-19 Concerns Raised by the Construction Workforce and Development of Mitigation Practices

Hatoum

Ali

Nassereddine

et al. 2021

Front. Built Environ.

Self Cite

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“…Another groundbreaking automation technique that has the capability of transforming the construction sector is the emergence of automated and robotic systems. As one of the cardinal pillars of automated construction, robotics is defined as intelligent machines that are operated by smart controls with varying levels of sophistication which are used to enhance the speed and delivery of construction projects (Hatoum and Nassereddine, 2020). Robots are also regarded as an advanced form of mechanization which has multi-axis flexibility to execute several diversified tasks in a faster and more organized way.…”

Section: On-site Automated and Robotic Systemsmentioning

confidence: 99%

Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector

Oke,

Aliu,

Fadamiro

et al. 2023

BEPAM

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PurposeGlobal construction sector studies have significantly explored the impact of automation techniques, revealing their transformative potential. However, research on their application within specific local contexts, especially in developing countries like Nigeria, is sparse. Nigeria presents a unique context marked by challenges such as skilled labor shortage, safety concerns and cost efficiency. Therefore, investigating the implementation of automation techniques in the Nigerian construction industry is crucial to address these challenges, bring transformative advancements and contribute to a more balanced global discourse on automation adoption. This study aims to fill this significant research gap.Design/methodology/approachA mixed research method was deployed which combined both qualitative and quantitative data collection and analysis. Two focus group discussions conducted with 23 experts from both industry and academic institutions (qualitative) yielded 17 drivers which were used to formulate a well-structured questionnaire (quantitative), which was disseminated to construction professionals. Collected data underwent analysis through various statistical techniques, including percentages, frequencies, mean item scores and exploratory factor analysis.FindingsPrincipal component analysis (PCA) yielded four driver clusters namely: (1) performance-related drivers, (2) visualization and efficiency-related drivers, (3) technological and human-related drivers and (4) economic-related drivers.Practical implicationsThe study provides empirical insights that can aid stakeholders, decision-makers, policymakers and the government in formulating strategies to promote automation techniques in the Nigerian construction industry and beyond.Originality/valueThis study's originality lies in its exploration of the untapped potential of automation techniques in the Nigerian construction industry, offering novel perspectives on how these technologies can address specific challenges such as skilled labor shortage, safety concerns and cost efficiency, thereby paving the way for transformative advancements in the sector.

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“…In the literature, the integration of BIM and BDA is used in maintenance management, retrieving object information from BIM for FM purposes, make queries on BIM model, safety management, energy management, cost management, construction logistic management, waste management, design alternatives, and supplier data for off-site construction components. Furthermore, it is stated that BDA can be used to evaluate design alternatives, future trends and preferences, project performance, monitoring construction progress, and lean management (detecting off, idle, or busy status of equipment) [20,[52][53][54][55][56][57][58][59][60][61]. Although some studies emphasized the selection or evaluation of design alternatives with BDA, there is no study for BDA usage in VE.…”

Section: Rigor Cycle (Rigc)mentioning

confidence: 99%

Lean Based Maturity Framework Integrating Value, BIM and Big Data Analytics: Evidence from AEC Industry

et al. 2021

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The construction industry is considered as one of the least productive, highest energy consuming, and least digitized industries. The Lean Management (LM) philosophy became a significant way for eliminating non-value-added activities and wastes during a building’s lifecycle. However, studies have shown that philosophies are not efficient by themselves to solve the issues of the construction industry. They need to be supported with the appropriate technologies and tools. Therefore, the integrated use of Building Information Modelling (BIM) with LM or Value Engineering (VE) were proposed in the literature. Nonetheless, it was also seen that BIM can provide more insights and improvements when BIM is integrated with data analysis tools to analyze BIM data. In the literature, the synergies between these concepts are generally addressed pairwise, and there is no comprehensive framework which identifies their relationships. Therefore, this study aims to develop a maturity framework that facilitates the adoption of LM, VE, BIM, and Big Data Analytic (BDA) concepts to address long-standing productivity and digitalization issues in the Architecture, Engineering, and Construction (AEC) industry. Design Science Research (DSR) methodology and its three-cycle view (relevance, rigor, and design cycle) were applied to build the proposed maturity framework. Two interviews were performed to identify and observe research problem in relevance cycle. In the rigor cycle, a comprehensive literature review was performed to create a base for the development of the maturity framework. In addition to the developed base of the framework, lean processes were added to this cycle. In the design cycle, the developed framework was evaluated and validated by five experts through face-to-face interviews. The importance of employer’s requirements to adopt the proposed methodologies, the negative impact of change orders, the importance of pre-construction phases to facilitate value creation and waste elimination, and the usage of common data environment with BIM were identified as the prominent application and adaptation issues.

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A Holistic Framework for the Implementation of Big Data throughout a Construction Project Lifecycle

Cited by 16 publications

References 0 publications

Analysis of COVID-19 Concerns Raised by the Construction Workforce and Development of Mitigation Practices

Analysis of COVID-19 Concerns Raised by the Construction Workforce and Development of Mitigation Practices

Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector

Lean Based Maturity Framework Integrating Value, BIM and Big Data Analytics: Evidence from AEC Industry

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