Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Author:

Egwim Christian Nnaemeka1ORCID,Alaka Hafiz1,Demir Eren2,Balogun Habeeb1ORCID,Olu-Ajayi Razak1ORCID,Sulaimon Ismail1,Wusu Godoyon1,Yusuf Wasiu1,Muideen Adegoke A.1

Affiliation:

1. Big Data Technologies and Innovation Laboratory, University of Hertfordshire, Hatfield AL10 9AB, UK

2. Decision Sciences Business Analysis and Statistics Group, Hertfordshire Business School, University of Hertfordshire, Hatfield AL10 9AB, UK

Abstract

In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, artificial intelligence (AI), is recognized as an essential element within the paradigm of digital transformation, having been widely adopted across different industries. Also, AI is anticipated to open a slew of new possibilities for how construction projects are designed and built. To obtain a better knowledge of the trend and trajectory of research concerning AI technology application in the construction industry, this research presents an exhaustive systematic review of seventy articles toward AI applicability to the entire lifecycle of the construction value chain identified via the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review’s findings show foremostly that AI technologies are mostly used in facility management, creating a huge opportunity for the industry to profit by allowing facility managers to take proactive action. Secondly, it shows the potential for design expansion as a key benefit according to most of the selected literature. Finally, it found data augmentation as one of the quickest prospects for technical improvement. This knowledge will assist construction companies across the world in recognizing the efficiency and productivity advantages that AI technologies can provide while helping them make smarter technology investment decisions.

Funder

University of Hertfordshire Doctoral Scholarship

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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