Optimize Production by using PackML & the IIoT Spencer Cramer CEO ei 3 Corporation ei 3 Corporation Copyright 2017. All rights reserved.
If policy makers and businesses get it right, linking the physical and digital worlds could generate up to $11.1 trillion a year in economic value by 2025. Source: Mckinsey Global Institute The Internet of Things: Mapping the Value Beyond the Hype McKinsey Global Institute June 2015 Copyright 2017. All rights reserved.
Nine Setting where value may occur Factories are the largest IoT opportunity with between 1.2 & 3.7 $ Trillion of impact 3 OMAC - 2016 PACK EXPO Innovation Stage Copyright 2017. All rights reserved.
Interoperability is essential Interoperability between IoT systems is critical. Of the total potential economic value the IoT enables, interoperability is required for 40 percent on average and for nearly 60 percent in some settings. Source: McKinsey Global Institute
ISA-TR88.00.02 Standard ~ PackML has a pivotal role Data Interoperability is Achieved with PackML ISA-TR88.00.02 is ideal for the Industrial Internet Common Description of Machine States and Modes Compares apples w/ apples across machines, enterprises, OEMs Practical with tactical and strategic benefits Big Data Creates Economic Benefit Beyond the walls of single companies, and machine OEMs 5 Examples: benchmark comparisons, and predictive maintenance
Standards Promote Interoperability Ethernet OPC-UA PackML Comms Data Structure Context Modes States TR88.00.02 LINE COMMUNICATION Machine 1 Machine 2
PackML Provides Key Performance Indicators Machine PLC/PC Secure Network Data Collector Remote monitoring cloud Application Reports Web Pages Dashboards Mobile Apps Pack Tag Ethernet/OPC-UA/PackML Pack Tag Analytics KPI 3/10/2017
4 Top Values of IoT 10-40% Maintenance Savings 3-5% Resource Savings Cost of Quality Reduced 10-20% 30-50% Reduction of Downtime https://operationsexcellence.mckinsey.com/files/downloads/ 2016/digital40modelfactoriesbrochure1.pdf
PackML : Describes Machine Operation Reports based on states Machine 1 OEE % Time not Held=> Availability MTBF, MTTR States Known by Controls Held Execute Suspended
Compare Machines
View Analyze Global Global Install Base Install Base Company A LEARN Proactive Repair LEARN Proactive Repair Company C Proactive Repair Company B 11
Insights Lead to Action Service Business Machine builders can help Customers optimize OEE by measuring to manage, and delivering services to drive improvements. 12
Path to Predictive Connect Machines Monitor Data Use Downtime Tracking Analyze Data Develop Predictive Models Implement Predictive Models Secure Network OPC-UA Collection OPC-DA Collection Custom Collectors Existing Machines New Machines Secure Service Compute KPIs, OEE Visualization Recipes, Jobs, Tools Excel Provide Data (API) Stop Tracking Fault Tracking Pareto Analyzer Maintenance Metrics MTTR MTBF Downtime, Machine Partner Apps Machine Specific Service History Model Behavior OEM Int. Property Stream Data Analysis Alert & Alarm dispatch Tracking States Reporting Roadmap to reap value from machine data
Machine State and Causes Capturing States and related Downtime Reasons Drives Improvements ei 3 Corporation Copyright 2016. All rights reserved.
Analyze Machine Performance Machines & Devices ei 3 appliance mounted w/ various options Machine Control devices Cloud Machine data Database for aggregation, normalization, and storage CONNECTIVITY Network Communication diverse data collection architecture Analytics Labor Scrip t API Explore Prediction Use tools & determine relationships People & Systems Messages, Web Pages, Dashboards, Reports REST API to systems & communications to devices Alert Disseminate Predictive Alerts Rules from Analytics to determine impending failures Model
Create Models for Predictions Apply models to data In stream analysis Immediate dispatch Operation Improvements Quality Maintenance Spare Parts
Quality Reporting Reports On-line CoA reports: End-customer ready Quality Results for analysis REST API enables data to be shared
PackML = Abundant Benefits PackML inside the Walls Simplification Easier training Faster Startups Robust Code Easier to troubleshoot Consistency Performance Measurement PackML in the Cloud Standard Data + global install base = Big Data Enables Deep Analytics & Modeling Benchmark Machines to Standards Predictive Services Optimize machines Feed the Top 4 Values: Service & Aftermarket Asset Utilization Quality Energy PackML enables Substantial Savings
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