Purpose : Availability, reliability, Safety of the asset is key performance parameters in asset intensive industries like Oil & gas, Petrochemical, Chemical and Manufacturing Industries. Needless to say these are very capital intensive asset so at most care need to be taken along with productivity from these assets.
So just having the data of this assets and its allied process is not important but finding out and analyzing the industrial data, sensor data and warnings to come out with pattern which requires a predictive analytics solution to get real-time insights of equipment health is important. This allows plant operations and maintenance personnel to make a informed decisions using pattern outcomes. Pattern assesses the risk and potential consequences associated with each monitored asset. This can also be used to better prioritize capital and operational expenditures. As a result, the planning for maintenance and the operation of equipment is more reliable and safe and avoid failure.
Asset management training covers the machine & equipment health, reliability Management and Maintenance Optimization to help asset-centric companies to increase uptime, decrease costs and reduce operational risks. Learn how you can unlock your data value.
Machine & Equipment Health: - Get a unified, complete, and accurate view of operations
Reliability Management: - Detect and diagnose equipment problems before they happen and reduce unplanned downtime and maintenance costs.
Maintenance Optimization: - Use data to rethink how maintenance is planned and executed.
|Module 1||Asset management principles|
|Module 2||Equipment's Overview & Operations/Challenges|
|Module 3||Basics of Data and Introduction to R(demo)|
|Module 4||Linear Regression|
|Module 5||Logistic Regression|
|Module 7||Decision Tree|
|Module 8||Time Series Modelling|
|Module 9||Predictive modelling techniques (Practical)|
|Module 10||Maintenance Strategy Optimization(Practical)|
|Module 11||Asset Lifecycle cost Prediction(Practical)|
|Module 12||Data Visualization|
|Module 1||Introduction to Business Analytics and its tools|
|Module 2||Applications of types of analytics & Self service analytics (Alteryx-demo)|
|Module 3||Linear Regression|
|Module 4||Logistic Regression|
|Module 6||Decision Tree|
|Module 7||Time Series Modelling|
|Module 8||Predictive modelling techniques (Practical)|
|Module 9||Maintenance Strategy Optimization(Practical)|
|Module 10||Asset Lifecycle cost Prediction(Practical)|
|Module 11||Data Visualization|
|Batch Code||Start Date||End Date||Timings||Venue||Days in week|
|DAMP-04||Mar 2, 2018||Jun 2, 2018||10.00 AM TO 01.00 PM||--||Friday - Saturday|
|DAMP-05||Mar 26, 2018||Jun 27, 2017||10.00 AM TO 01.00 PM||Defour Mumbai Office||Monday - Tuesday|
|DAMP-01||Apr 7, 2018||Jun 24, 2018||02.00 PM TO 05.00 PM||--||Saturday - Sunday|
|DAMP-02||Apr 11, 2018||Jun 28, 2018||02.00 PM TO 05.00 PM||Defour Office, Pune||Wednesday - Thursday|
|DAMP-06||Apr 11, 2018||Jun 28, 2018||10.00 AM TO 01.00 PM||Online||Wednesday - Thursday|