A hybrid of industrial maintenance decision making grids
Akilu Yunusa‐Kaltungo, Ashraf Labib
Abstract
It is fair to assume that the main challenge in maintenance decision-making is the existence of gaps between theory and sustainable practice which is attributable to complexity, too much emphasis on development of new models that only serve to criticize earlier ones, underrepresentation of case study-based researches and lack of adequate incorporation of industry-based knowledge into most theoretical studies. In this paper, we revisited the application of decision making grids (DMG) for maintenance optimization but the main novelty here is harmonizing the strengths of the two most popular DMG approaches as opposed to the previous trends of advocating one over the other. The current initiative limits assumptions associated with the process, since both approaches depend on the main objective and nature of data involved. The data required for implementation are breakdown frequency and downtime for each event, which is readily available within most in-house maintenance management systems.