Engineering Optimization through the qualified use of CMMS and Predictive Software

Aiming to reach both Engineering and Maintenance Optimization the complex Managerial tasks of an Enterprise ceased of being predictably analyzed solely through linear algorithms requiring multidisciplinary approaches. Through properly placed in process sensing tools the key issue of Enterprise Maintenance becomes mainly a Proactive one, a relevant model being the optimization through the qualified use of CMMS software. CMMS (Computerized Maintenance Management System) packages may be used by any organization that must perform maintenance on equipment, assets and property. A CMMS focused on machine optimization provides a flexible application for plant personnel. Enterprise applications can restrict a focused optimization of specific equipment. If the enterprise application is focused on cost reduction and complete asset management, it might miss the very techniques that reduce cost. Corrective and preventive maintenance scheduling must be flexible as designed for machines by a CMMS system. Predictive Maintenance (PdM) is an algorithm based on the analysis of the history of failures. Report the impending failure of equipment by analyzing values that exceed or trend toward an alarm limit. The predictive software can set alarm limits statistically or by a group of machines. So, modeling the Maintenance Management activity becomes a compact and focused system without the influence of enterprise restrictions, as the operating Davison CMMS software proves.