Using AI as a support tool for bridging construction informal sector mechanisms to sustainable development requirements. (15th December 2022)

• Record Type: Journal Article
• Authors: Cédric Cabral, Fandjio Yonzou; Patrick Joël, Mbiada Mbiada; Ursula Joyce Merveilles, Pettang Nana; Marcelline Blanche, Manjia; Georges Edouard, Kouamou; Chrispin, Pettang
• Is Part Of: Journal of decision systems. Volume 31(2022)Supplement 1
• Page Start: 226
• Page End: 240
• Publication Date: 2022-12-15
• Subjects: Informal sector -- artificial intelligence -- sustainable development -- management aid; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2022.2073859
• Languages: English
• ISSNs: 1246-0125

Abstract

ABSTRACT: Over 85% of Cameroonians use building informal sector mechanisms which involve a disorganized and varied workforce, types and qualities of materials from various origins with unclear supply networks, supported by a wide range of funding sources. Although previous work enabled us to master these mechanisms, their complexity is accentuated by sustainable development requirements and sanitary measures. Sustainability concept deals with fields to respond to social, economic and environmental challenges but its operationality in building encounters many difficulties due to informal mechanisms complexity. Dealing with this environment recommend taking advantage of Building Information Modeling, especially the assets of artificial intelligence (AI) to get appropriate, rapid, and diversified assistance. In this paper, we propose a concept of intelligent building sites management combining knowledge base, information system capitalizing on previous best practices and achievements to organize several construction sites in real-time with all requirements including those of SD goals and covid-19.