Why Attend
To preserve maintenance data and drive better business decisions, emerging technologies such as Big Data analytics and “Internet of Things” (IoT), where equipment and machinery connect and exchange data through cloud-based CMMS (Computerized Maintenance Management System), can address industrial challenges.
Preventative maintenance, predictive maintenance, and life cycle analysis strategies can increase uptimes, whilst reducing operations and maintenance expenditure costs through the use of IoT and Big Data technologies.
Participants attending this course will gain an understanding of the nature of maintenance failures and be able to identify equipment classifications and patterns through IoT and Big Data reporting. Participants will have the opportunity to perform cost optimization through effective measurement, reporting and analysis through Big Data, and understand how Artificial Intelligence can be used to predict maintenance requirements, forecasting trends and business requirements.
The course is interactive and is comprised of lectures, case studies,
technical process learning and supplemental discussions related to
various industries and the challenges of implementation.
This course is suitable for maintenance Managers, maintenance Planners, Technicians and Supervisors, and all stakeholders in the maintenance support team. Maintenance and reliability Engineers, materials management Managers and Supervisors and all CMMS users would also benefit from this course.
MPC certified courses by Meirc Training and Consulting are designed for those willing to challenge themselves and go the extra distance. Participants who fully attend an MPC course and successfully complete the test on the last day, will receive a Meirc Professional Certificate (MPC), in addition to the one they receive for attendance. MPC certificates are regionally recognized and can be quite valuable when applying for more senior roles within the organization or outside.
Fees + VAT as applicable
Tax Registration Number : 100239834300003
(including coffee breaks and a buffet lunch daily)
4 Days Course
No Schedules!
Please Contact Us if you have any queries..
This course is currently unscheduled in Virtual Learning.