Intelligent Integrated Model for Improving Performance in Power Plants

Industry 4.0 is expected to play a crucial role in improving energy management and personnel performance power plants. Poor problem maintaining plants the result of both human errors, factors poor implementation automation management. This can potentially be solved using artificial intelligence (AI) an integrated system (IMS). article investigates current challenges plants, identifies critical success (CSFs) for intelligent framework, develops framework that enables improve performance. The theoretical basis founded on systematic literature review locate 110 out 3108 papers studied carefully examine architecture best effective maintenance. findings from this are combined with expert judgment big data advantages AI applications develop model. Data collected plant Iraq. To ensure reliability proposed model, various hypotheses tested structural equation modeling. results confirm measurement model acceptable, supported significant. A case study demonstrates strong relationship significance between CSFs. It hoped will adopted enable improvement