2nd South American International Conference on Industrial Engineering and Operations Management

Impact of Artificial Intelligence in South African Construction Project Management Industry

Siphosenkosi Makaula, Mageshnee Munsamy & Arnesh Telukdarie
Publisher: IEOM Society International
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Track: Business Management
Abstract

The aim of this paper is to develop a framework for AI in construction management, to achieve this, a sequential literature review as the research methodology shall be used. Key words such as AI construction projects, labour productivity, project key success factors, construction project’s job security and AI project risk management is used to search for published journal articles form Google Scholar and Scopus. The findings based on sequential literature review revealed that various AI technologies exists, and each has a different purpose and application. The research findings reveal application of each AI technology on each project life cycle phase. A theoretical framework based on the research findings is developed which illustrates the application of AI technologies across the project lifecycle and the results of each application. AI can be used in planning, design, simulation of construction projects, it can also be used in advanced project execution phases of construction as well as in sourcing of materials and modularisation of high-end and specialised construction material and modules. There is a threat of job losses in adopting AI, it is a reality and not a myth, however, AI can create plenty more jobs in the new technological value chain.

Published in: 2nd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: April 5-8, 2021

ISBN: 978-1-7923-6125-8
ISSN/E-ISSN: 2169-8767