ÁREA: 01. Operations and Process Management
RESUMO:
Abstract
Information Technologies (IT) have the same societal impact as the incorporation of machines in the Classic Industrial Revolution of the 19th Century. Now IT replaces humans in tasks which involve rapid calculations and processing of massive data and information. Expert systems based on diverse rules and operations have been developed to assist humans in decision-making processes. Despite the progress made in the last decades, some areas still seem very complicated to adopt new science technologies such as the Construction Industry.
For nearly 40 years there has been an important lack of studies and innovation regarding construction processes and its productivity. Poor planning, low coordination of elements, multiple changes, high fragmentation of activities and manual collection of information cause high levels of uncertainty, inefficiency and waste in this sector. Although Lean Thinking (LT) has incorporated its philosophy in construction to improve productivity and reduce waste, no significant or effective results have been achieved to mitigate these problems.
Artificial intelligence (AI) technologies have been designed to impulse and leverage human capacities by using new arrays of data and information for complex problem-solving and decision-making process. The implementation of new environments such as Cyberphysical Systems (CPS) make Industry 4.0 a significant contributor for the transformation of construction industry. Powered by a software-interface link designed by the researcher which transforms a traditional constructive process into a rational and systematic industrial one, the CPS framework presented herein is an expert system which creates bi-directional coordination between cyber models and the physical construction of a project. This tool can create different scenarios of prediction based on actual operational level inputs which can altered in a short-term basis. This is an integrated real-time AI model for industrial construction projects that can supervise simultaneously process of key activities such as design, chain-supply and construction by collecting and extracting its data suiting the Just-in-Time and Lean-Thinking operations.
PALAVRAS-CHAVE: industry 4.0, artificial intelligence, cyber-physical system, lean construction, just in time
DOI:
10.14488/ijcieom2022_full_0015_37567