International Journal of Artificial Intelligence and Machine Learning
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Volume 3, Issue 1, January 2023 | |
Research PaperOpenAccess | |
How to Begin a Lean Journey: A Practical Guide to Using Lean Construction Practices on Projects |
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Nwosu Obinnaya Chikezie Victor1,2* |
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1Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2006 South Africa. E-mail: nch015@post.uit.no
*Corresponding Author | |
Int.Artif.Intell.&Mach.Learn. 3(1) (2023) 1-9 DOI: https://doi.org/10.51483/IJAIML.3.1.2023.1-9 | |
Received: 14/10/2022|Accepted: 19/12/2022|Published: 05/01/2023 |
The move to lean construction is a lengthy process that may call into question established ways of construction management delivery. The objective of this paper is to help businesses take the first step on this route by introducing a few lean manufacturing techniques and practices that may be used on projects over the next few weeks. Although the construction industry has come a long way since its start, the essential technology to change it has not yet found a home. The digital switch has now entered the construction industry to boost production. Artificial Intelligence (AI) is a discipline of computer science described as the potential of machines to mimic intelligent human behavior by modeling traditionally complicated problems using human-inspired techniques. Due to its complexity, AI distinguishes itself from lower degrees of digitalization. The complexity of artificial intelligence involves the formation of new circumstances for human collaboration and trust. This dissertation investigates the application of artificial intelligence and the suitable interac- tion between humans and AIbased technologies. This study attempts to shed light on how the construction industry may close the gap between the potential and actual benefits of artificial intelligence deployment. Comparing the prospective benefits of AI implementation to the present benefits and challenges of AI deployment in the construction industry revealed the disparity.
Keywords: Lean Construction, Construction management, Manufacturing, Construction industry, Optimization, Projects
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