PhD in Framework for Manufacturing Prognostics in Cranfield United Kingdom | Cranfield University

This doctoral research focuses on tackling a major obstacle in manufacturing: boosting productivity by maximizing equipment efficiency and minimizing downtime.
Currently, most industries rely on OEM-recommended maintenance schedules and preventive approaches for their machinery. Observations reveal that components often undergo maintenance based on these predetermined timelines, even when no repairs or replacements are necessary. Furthermore, these scheduled maintenance stoppages drive up production expenses while limiting overall productivity potential. This study will develop a manufacturing prognostics framework specifically designed for Kuwait's industrial sector, targeting these issues. The framework will establish relationships between productivity, operational costs, equipment functionality, and output quality. It will measure how real-time equipment monitoring affects production outcomes. Validation will occur through practical application in a chosen manufacturing environment.