Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments

• Published in: Annals of operations research Vol. 350; no. 2; pp. 493 - 516
• Main Authors: Chen, Jacky, Lim, Chee Peng, Tan, Kim Hua, Govindan, Kannan, Kumar, Ajay
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2025; Springer Nature B.V
• Subjects: Artificial intelligence; Asset management; Business administration; Business and Management; Combinatorics; Complex systems; Condition monitoring; COVID-19; Decision making; Decision support systems; Digitization; Economics and Finance; Humanities and Social Sciences; Industrial applications; Industry 4.0; Internet of Things; Knowledge management; New technology; Operations Research/Decision Theory; Original Research; Pandemics; Predictive maintenance; Small business; Theory of Computation; Asset management; Small and medium enterprises; Pandemic preparedness; Artificial Intelligence; Decision support; Predictive maintenance; Small- and medium-sized enterprises; Artificial intelligence

Pandemic events, particularly the current Covid-19 disease, compel organisations to re-formulate their day-to-day operations for achieving various business goals such as cost reduction. Unfortunately, small and medium enterprises (SMEs) making up more than 95% of all businesses is the hardest hit se...