This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any stoppages.<br>However, in most of the industries, OEM specifications are used to maintain the equipment's/machineries which are often based on schedules and preventive strategies. It has been observed that equipment's or machine components are maintained on these schedules even without a need of repair or replacement. In addition, the stoppages to execute the schedules strategies also increase the production cost and reduce the true potential of the productivity. In this PhD research, a framework for manufacturing prognostics will be proposed to address the mentioned challenge with a focus on manufacturing industries located in Kuwait. The framework will connect productivity, cost, equipment workability, and product quality. The utilization of near real time equipment inspections and its impact on production will be quantified. The proposed framework validation will be achieved by implementing it on a selected manufacturing sector.