IOT & Predictive Maintenance Take the Next Steps

Transcription

1 15th INTERNATIONAL OPERATIONS & MAINTENANCE CONFERENCE IN THE ARAB COUNTRIES UNDER THE THEME: SMART MAINTENANCE CONICIDE WITH THE 15 TH ARAB MAINTENANCE EXHIBITION IOT & Predictive Maintenance Take the Next Steps Raj Singh Director IOT & Digital Supply Chain CoE EAM & Operational Excellence

2 Design Thinking Connected Data Integration Collaboration Mobile Big Data Business Process Innovation Intelligently connecting People, Things and Businesses Machine Learning APIs Natural Language Real-time Analytics IoT Networks Microservices Experiences 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ CUSTOMER 2

3 Better outcomes the CEO / CFO view of Digital Transformation / IoT Lower cost Increased uptime New products & services Optimized productivity Less waste Improved turnarounds New revenue Faster deliveries Usage-based pricing Greater capacity Better efficiency New business models 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC 3

4 Today s Asset Management Challenges Paper-based technical documentation Asset Information in Silos Poor Asset Performance visibility Low First visit fix rate Additional Regulatory obligations

5 Where are maintenance and service heading? Organizations Are Maturing Their Maintenance Strategies Conditionbased Predictive Companies are moving from a reactive to a proactive approach to maintenance. Reactive Preventive An opportunity is available for organizations to leverage machine data for better business insights.

6 Technology Is Changing Our Approach To Maintenance *Use of Maintenance Strategy Today Run to Failure Preventive On-Condition Predictive *Use of Maintenance Strategy Future Run to Failure Preventive On-Condition Predictive The Internet of Things is leading to increased use of on-condition and predictive maintenance strategies Although still relevant, preventive maintenance typically results in overmaintaining assets and high cost The goal is to increase our use of advanced maintenance strategies and reduce reactive maintenance events *Proportion of maintenance strategies are for illustration purposes only and will vary based on many factors

7 Optimization of Maintenance Intervals Results in Huge Savings Many intervals have huge buffers that could be reduced and the intervals enlarged Health Status Standard Optimal Failure Situation good Threshold to start next maintenance interval bad less maintenance t unplanned downtime standard maintenance optimized maintenance

8 The Internet of Things Benefits the Entire Maintenance Program Reactive Preventive On-Condition Predictive Replacements driven by more logical utilization rates WHEELS & BRAKES Energy Dissipation versus Mileage Advanced condition monitoring techniques BEARINGS Vibration Analysis versus Oil Analysis Program BATTERY Data science based health indicators Installed battery = Healthy battery The Internet of Things improves existing strategies and enables new data science driven maintenance approaches Preventive Drive scheduled maintenance based on the right utilization metric On-Condition Real-time or near real-time condition monitoring Predictive Leverage data science based health indicators

9 Asset Condition Advances In On-condition And Predictive Maintenance Strategies Time to respond P Potential Failure Oil Analysis Program Audible Noise Hot to Touch Mechanically Loose F Functional Failure Time Ancillary Damage T Total Failure

10 Asset Condition Advances In On-condition And Predictive Maintenance Strategies P Potential Failure Device Connectivity & Predictive Analytics Time to respond More time to respond enables greater flexibility to dynamically plan maintenance events Oil Analysis Program Audible Noise Hot to Touch Mechanically Loose F Functional Failure Time Ancillary Damage T Total Failure

11 SAP Leonardo IoT Innovation Portfolio SAP Leonardo IoT Bridge Connected Product Connected Assets Connected Fleet Connected Infrastructure Connected Markets Connected People Partner Applications Product Insights Fixed Assets Insights Mobile Asset Insights Building Insights Market Insights People and Work Goods and Equipment Manufacturing Execution Logistics Safety Construction Rural Areas People and Health Supply Networks Manufacturing Networks Logistics Networks Energy Grids Urban Areas People and Homes SAP Leonardo IoT Edge Computing SAP Leonardo IoT Foundation SAP Cloud Platform 2017 SAP SE or an SAP affiliate company. All rights reserved. 11

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13 Next Steps with IOT and Predictive Maintenance Think bigger picture Business as usual? If we keep doing things in the same way we will get the same results New requirements, better ways of doing things It is a journey make sure you have a roadmap Embrace the new digital reality Enterprise asset management is getting more sophisticated Mobile, Planning, AIN, IOT, Connected Assets, Predictive Maintenance Take a Step in the Journey Visit your plant and team Implementation workshop and move forward Implement logical modules together for better gains Other companies are already doing it and gains are huge! 13

14 Thank you - Let s Take the Next Steps Together! Raj Singh Director IOT & Digital Supply Chain CoE EAM & Operational Excellence raj.singh01@sap.com