AV-26 Equipment Health Should be the Driver for Turnaround Planning

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2 AV-26 Equipment Health Should be the Driver for Turnaround Planning Big Data Meets Equipment Reliability and Maintenance / #InvensysSWConf13 /InvensysVideos /yourbrandsaddress /your group or brand Stan Shantz Principal & Managing Partner Meir Soft Tissues Solutions (MeirSTS) 2013 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries. All third party trademarks and service marks are the proprietary marks of their respective owners.

3 Meir Soft Tissue Solutions Core competency in Asset Management cultural change Primary focus on: Business Processes Maintenance, Production & Inventory (Lower operating costs) Profitable lean manufacturing (Increase production throughput) Asset reliability Effective proactive maintenance programs (Eliminate unexpected outage & Manage corporate risk) Effective troubleshooting approaches to automated equipment (Find problems earlier & Shorten outage duration of unexpected outages) Effective Inventory management program Continuous improvement culture based on respectful communication and trust Lower energy costs Global trade knowledge and skills shortage End user software functionality Maximizing software investment Partnership agreements with: Engtech Industries Inc., Invensys Inc. Mhyar International Consulting, Pattern Discovery Technologies Inc. Slide 3

4 Sample MeirSTS Client Experiences Slide 4

5 Monitoring Equipment Health Turnaround Maintenance 4 Maintenance Effectiveness 1 Marketplace Drivers Production Drivers PDT Equipment Pattern Hub Health Accuracy ERP Remaining Useful Life (RUL) Failures CMMS CM Predictions 3 Operational Data (Wonderware) Patterns Historian Sensors Diagnostics High Resolution Detection and Troubleshooting 2 Failure Prediction Slide 5

6 Turnaround Maintenance When is the best time for the turnaround shutdown How much time is required? Global Market conditions? How much longer can the equipment last? Critical Path? Client Impact? Financial Impact? Do we require a turnaround? What needs to be repaired? Logistics Trades, Cranes, Inventory. etc Slide 6

7 Estimating Component Life Expectancy Equipment Over-All Health Slide 7

8 Estimating Component /Systems Life Expectancy Maintenance Effectiveness PDT Pattern Hub Failures CMMS Operational Data (Wonderware) Patterns Historian Sensors Diagnostics High Resolution Detection and Troubleshooting Failure Prediction Slide 8

9 Estimating Remaining Useful Life Equipment Over-All Health Remaining Useful Life Risk + Critical Path Slide 9

10 Estimating Remaining Useful Life Maintenance Effectiveness PDT Pattern Hub Remaining Useful Life (RUL) Failures CMMS CM Predictions Operational Data (Wonderware) Patterns Historian Sensors Diagnostics High Resolution Detection and Troubleshooting Failure Prediction Slide 10

11 Turnaround Maintenance Planning Equipment Over-All Health Remaining Useful Life Market Drivers Financial Impact Slide 11

12 Turnaround Turnaround Maintenance Maintenance Planning Maintenance Effectiveness Marketplace Drivers Production Drivers PDT Equipment Pattern Hub Health Accuracy ERP Remaining Useful Life (RUL) Failures CMMS CM Predictions Operational Data (Wonderware) Patterns Historian Sensors Diagnostics High Resolution Detection and Troubleshooting Failure Prediction Slide 12

13 Turnaround Maintenance Planning Value of Monitoring Equipment Health Critical Path Duration Estimated RUL Date Least Financial Impact Time Least Client Impact Logistics Trades, Cranes, etc. Slide 13

14 Turnaround Maintenance Flow Planning Execution Post Audit AssetInsight (Impact / Timing / Critical Path) Primavera or Avantis.PRO VIP Module (Execution efficiency) AssetInsight (Good & Need to improve next time) Avantis.PRO Contractor Module (Execution efficiency & Cost tracking) Slide 14

15 AssetInsight - Advanced Analytics for Equipment Reliability and Maintenance Functional Hierarchy Economic Drivers Demand, forecasts, market variables Production Data ERP Systems Advanced Troubleshooting Knowledge Based Expert System Diagnostic Input Predictive monitoring (online and occasional) Operation Data Production History EAM/CMMS Systems Maintenance History Turnaround Planning Prioritized Equipment Lists Decision Support System Equipment Health Status Advanced Troubleshooting Remaining Useful Life High Resolution Fault Detection Event Detection Failure Patterns (Automated RCM) Failure History Maintenance Program Effectiveness Slide 15

16 Contact Information Stan Shantz Principal and General Manager Paul Sheremeto President & CEO x249 Slide 16

17 Slide 17

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