Improved Asset Management with Industrial IoT, PdM, and EAM

Transcription

1 Improved Asset Management with Industrial IoT, PdM, and EAM Agenda: Intro Speakers Q&A Panel Ralph Rio Vice President This presentation is copyrighted by ARC Advisory Group (ARC) and it may not be reproduced without prior permission from ARC.

2 Consumer or Industrial IoT Consumer Driver: Personal Interest Industrial Driver: Business Value Appliances Cars CPG Homes Home Healthcare Factories Plants Fleet: Trains Trucks Hospitals Facilities Industrial IoT is Sustainable and Growing Rapidly VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 2

3 Total Available Market for Industrial IoT 200 Million Connected Industrial Devices by 2019 $280 Billion Total Available Market by 2019 PLCs General Motion Control Servo/Stepper Drives CNCs AC Drives Industrial PCs Operator Interface Panels Industrial UPS Machine Vision Systems 3D Laser Scanners 3D Printers Robots Wind Turbine Controls DCS Systems SCADA Systems Instruments Control Valves Intelligent Pumps Source: Total Available Market for the Industrial Internet of Things Global Market Research Study, ARC Advisory Group, Connected Industrial Devices are those used in manufacturing production. VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 3

4 Expanded Maintenance Maturity Chart with IIoT Strategy Description Asset Attributes Car Analogy Higher Analytics + IIoT Prescriptive Predictive (PdM) Model and knowledgebase* identifies an issue and what to do for repair. Uses multiple equipment and process data variables (multi-variate). Equipment specific algorithms* or machine learning*. Multi-variate and typically uses automated data collection. Complex assets requiring advanced skills for problem diagnosis. May need knowledge of process dynamics. Critical assets where unplanned downtime has significant business impact Dealership-level diagnostic equipment Battery Management System in electric cars Condition Based (CBM) Alerts for bad trends or other rules-based logic using a single data value. Includes inspections and manual data collection. Assets with a random or unpredictable failure pattern Oil pressure, coolant temp., and OBDII indicators Preventive Service in a fixed time or cycle interval Probability of failure increases with asset use or time Reactive Run to failure, and then repair Failure is unlikely, easily fixed/replaced, or non-critical Replace engine oil every 5,000 miles Radio Notes: Knowledgebase = the underlying set of facts, assumptions, and rules that a computer system has available to solve a problem Algorithm = a formula, process or set of rules to be followed in calculations or other problem-solving operations Machine learning = software that provides computers with the ability to learn without being explicitly programmed VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 4

5 Asset Management Maturity Model Strategy Prescriptive Predictive Description Model and knowledgebase identifies an issue and what to do for repair. Uses multiple IIoT equipment & and process data variables (multi-variate). Analytics Equipment specific algorithms or machine learning. Multi-variate and typically uses automated data collection. 82% of Assets have a Random Failure Pattern Age Related Failures UAL 1968 BROBERG 1973 U.S. NAVY 1982 SUBMEPP % 10% Average 3% 8% Condition Based (CBM) Alerts for bad trends or other rules-based logic using a single data value. Includes inspections and manual data collection. 10% Random Failures 17% 7% Age Related Failures: Ave. = 18% Preventive Service in a fixed time or cycle interval 9% 8% 37% 56% 32% Reactive Run to failure, and then repair 30% 6% 42% Random Failures: Average = 82% VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 5

6 Asset Management Business Process Process Control System Process Historian Cloud, Analytics, PdM Alerts or Flags EAM/FSM System Work Orders Mobile Process Equipment Process Planner Equipment Execute Work Order VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 6

7 Operating Technology (OT) and & IT Convergence OT Process Control System Process Cloud, Analytics, PdM Alerts or Flags EAM/FSM System Work Orders IT Mobile Process Equipment Planner Equipment Execute Work Order VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 7

8 Maturity Benefits of Higher Asset Management Maturity High ROA = Profit Assets Maintenance Metrics Uptime Asset Longevity Executive Metrics Revenue On-time shipments Cash Conservation with Lower capital expenditures & Less WIP inventory Cost Control for labor and MRO materials Margin Safety Risk Mitigation Quality/Yield Customer Satisfaction Low Low Unplanned Downtime High VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 8

9 Speakers Stephen Tatton Director of Business Systems & New Technology JBT Aerotech John Lester, GM Clarksville Light & Water Dee Brown, Co-Founder & SCADA Systems Engineer Brown Engineers, LLC Kevin Price Product Director, Infor EAM Infor Albert Rooyakkers Founder, CTO, VP Engineering Bedrock Automation Platforms Q&A Panel Wagner Emerick Director of Product Support Sotreq Eduardo Suski Senior Project Manager Radix Engineering VISION, EXPERIENCE, ANSWERS FOR INDUSTRY ARC Advisory Group 9