Effects of Automation on Construction Industry Performance

Oke, Ayodeji Emmanuel; Aigbavboa, Clinton; Mabena, Siphiwe

doi:10.2991/icmmse-17.2017.61

Cited by 17 publications

(32 citation statements)

References 5 publications

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“…Due to the correlation of the underlying factors, this cluster was renamed as “economic-related drivers”. These findings align with the study of Oke et al. (2017), which posits that another key driver for the implementation of automation techniques is the propensity to create more job opportunities rather than take away jobs.…”

Section: Discussion Of Extracted Factorssupporting

confidence: 85%

“…(2019), who suggest that the quest to take workers out of dangerous and high-risk areas is one of the key reasons why construction organizations deploy automation techniques. Considering that the construction industry is a hazardous sector, the need to prevent and minimize the occurrence of site fatalities have become a key motivator for construction organizations to invest in automation techniques such as drones, robots and sensors (Oke et al. , 2017).…”

Section: Discussion Of Extracted Factorsmentioning

confidence: 99%

“…, 2019). Factors such as “friendliness and usability of automation techniques” and “willingness of construction workers to adopt” were discussed in detail by Oke et al. (2017).…”

Section: Discussion Of Extracted Factorsmentioning

confidence: 99%

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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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Section: Discussion Of Extracted Factorssupporting

confidence: 85%

Section: Discussion Of Extracted Factorsmentioning

confidence: 99%

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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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“…With robots, human involvement is reduced and so is fatality issue (Bahrin et al , 2016). Although, some see this technological advancement as a problem for construction workers due to the fear of robots displacing workers on site (Oke et al , 2017), Bahrin et al (2016) noted that the introduction of robots in production will allow the effective use of human workers for tasks that are more important for which they can be more productive.…”

Section: Robotics and Automation In Constructionmentioning

confidence: 99%

Mapping out research focus for robotics and automation research in construction-related studies

Aghimien

Aigbavboa

Oke

et al. 2019

JEDT

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Purpose The adoption of robotics and automation (R&A) within the construction industry has been adjudged as slow, despite the possibility of it reducing the high risk posed on health and safety of humans by the activities of the industry. The call for research and development in this area of technology to improve its adoption in the delivery of construction projects is evident in past studies. Thus, this paper aims to conduct a review of R&A in construction-related fields with a view to revealing the area of focus of past studies. Design/methodology/approach A bibliometric approach was adopted for this study, and data used were gathered from the Scopus database. Keywords such as “robotics”, “automation” and “construction” were used to extract papers from the database. VOSviewer was used to prepare a co-authorship and co-occurrence map based on the bibliographic data gathered. Findings The findings revealed that focus is placed on construction automation, industrial robots and application, robots’ systems and designs, robotics in earthworks, and robots’ control and information system. Furthermore, currently, research focus in this area is tending towards a more digitalised application of R&A especially in the areas of 3D manufacturing. Research limitations/implications The findings of this study are limited due to the use of a single database. Practical implications Despite its limitations, the findings open a knowledge gap that can be explored in developing countries particularly in Africa to improve construction delivery in the continent through R&A. Originality/value The study adopted the bibliometric approach in mapping out research focus in R&A – an aspect of digital technology that has not been given considerable attention in recent bibliometric and scientometric studies.

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“…This field can be perceived as one of the many representatives where robotics and automation have dominant standing. Therefore, construction automation and robotics growth, with related building technologies, are popular subjects for research conducted in numerous scientific papers, see, e.g., in [14][15][16][17]. Construction automation technologies or service robot systems appear as essential elements of the future.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation

Grešová

Svetlík

2021

Applied Sciences

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The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is part of a rapidly rising trend in industry. The presented paper deals with the manufacturing segment in the context of automation. The main subject is data analysis, with our own subsequent model building and final realization of the prediction corresponding to the machinery and electrical machinery sector as a highly relevant automation driver through the use of mathematical modeling. The design of the model is accompanied by optimization of the particular weights. Determination of the most suitable model is preceded by creating and testing a number of models to decide upon the final one. The construction of the mathematical model pursues the aim of making predictions relating to the machinery and electrical machinery sector for the specific national economy as the concluding investigation step. We apply a polynomial approximation as the research method. The software selected for our purposes is Matlab.

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Effects of Automation on Construction Industry Performance

Cited by 17 publications

References 5 publications

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

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

Mapping out research focus for robotics and automation research in construction-related studies

Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation

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