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© 2008 OSIsoft, Inc. | Company Confidential Driving Business Value with OSIsoft & Transpara Michael Saucier Transpara Corp.

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Presentation on theme: "© 2008 OSIsoft, Inc. | Company Confidential Driving Business Value with OSIsoft & Transpara Michael Saucier Transpara Corp."— Presentation transcript:

1 © 2008 OSIsoft, Inc. | Company Confidential Driving Business Value with OSIsoft & Transpara Michael Saucier Transpara Corp

2 2 PI Gives You 360° Business Vision Sales and Operations Planning, CRM, … Long-term Vendor Partnering And Contracts Operational Excellence, Strategic Vision, … Operating History & Real-time Performance Inventories, Capacities, & Process Knowledge Equipment, Chemical, & Vendor Performance

3 3 Transpara Operational Intelligence Hidden information –Disparate data sources –Inconsistent data –No visibility across the enterprise Decision makers are not always at their desk Business Intelligence isn’t enough Employee actions and business goals are not aligned DELIVER ACTIONABLE, COMPOSITE KPI’ S TO DECISION MAKERS ANYWHERE Leverage existing technology investments Data sources / BI engines Microsoft Office IT infrastructure Mobile technology Align strategies Distribute consistent information and objectives Activate corporate strategy through individual actions Interconnect the enterprise Solving the Problem Live demo www.transpara.com – Live demo http://demo.transpara.com Business Challenge

4 4 Customer Value Points “If we can’t analyze process performance second-by- second, weekly and annually, we are at an extreme disadvantage in improving operations. PI enables us to maximize process efficiencies. Without PI, we’d be naked.” – Operations Superintendent “Millions of dollars have been saved by using PI not only to better understand the process, but to redesign the entire operation to run optimally.” – Automation Engineering Team Lead

5 5 Customer Value Points “With PI as the eyes and ears of our entire complex, we are ‘Operationally Ready’ to manage and plan for any situation. I can’t imagine operating without PI.” – Refinery Supervisor “PI enables more intelligent use of people’s time and resources. It’s a very powerful advantage when people can see into the operation in virtually any way they want and find the data they need to improve operating efficiencies.” – Plant Manager

6 6 Technology Drivers in the PI System Layered Application Platform Fast rollout, Quick ROI Highly Available and Scalable Extensible by Customers and OSIsoft Partners

7 7 Business Value at DTE

8 8 Over 11,000 MW Delivered Greenwood – 785 mwRiver Rouge - 527 mwFermi – 1,100 mw Monroe – 3,135 mw Trenton Channel - 730 mw Belle River – 1,260 mw St Clair – 1,417 mw Harbor Beach – 103 mw Performance Center – 11,588 mw

9 9 Layered, Incremental Applications Discrete data Limited value Actionable Information – KPI’s Distributed Control Systems (DCS) Distributed OSIsoft PI Historians Large Population of Data Post Event Analysis DCS, PLC & PI Business Intelligence Reliability, 4-Block Outage & De-rate (UCF) Maintenance & Market Relate all Data Sources Analysis Framework (PI, ProcessGuard, Maximo, SAP, UCF, P3M, Predictive Monitoring, NeuCo, LIMS, Plant View..) KPI’s Dashboards Fleet Optimization Drives Performance Excellence Process Costs, Asset Health, Operational Performance, Market Value, Fleet Optimization WEB Visualizing Plant Alarm, DCS Real-time WEB Graphics Easy Access to Information Standard User Interface WEB Visualization System Dashboards Fleet Status Assessment Fleet Drill down Subject Matter Experts Engineering Applications PMAX, Digital Fuel Tracking, Fuel Cost Framework Process Discrete to Data Process Discrete Data PMAX, DFTS, eNote, Fuel Cost Framework, Alarm Management Expert Systems Predictive Monitoring, Optimization Advanced Analysis & Process Optimization Equipment and Process Monitoring Closed Loop Process Optimization 90% 50% 100% 90% 60% 25% 15% % Complete

10 10 Raw Data Analysis Post trip analysis Process monitoring Optimization Early warning Alarming $ 1,890,000 1st year savings!

11 11 Fleet Performance Analysis (PMAX) Thermal Performance Calculation Engine $500,000 Annual Savings !

12 12 Digital Fuel Tracking System On-line Fuel Analyzer $1,200,000 Annual Savings !

13 13 NOx Emissions Strategy NOx Reduction with Improved Heatrate Before Implementation After Implementation Primary focus is NOx reduction only Focus on operating near NOx budget curve $2,200,000 Annual Savings !

14 14 Energy Management System (EMS) The Plant Energy Management System is used to automatically control unit dispatch Implements data validation on all fields Performs several calculations based on PI data to determine validity of inputs. Transported to EMS Ranger via PI $120,000 Savings!

15 15 Fuel Cost Framework Ranger PI Ann Arbor 5 ps-mon-pi ps-tch-pi ps-rrg-pi ps-blr-pi ps_hbh_pi ps-grw-pi ps-stc-pi 4 Blend Calculations Default Mode Auto calculate & update Ranger Hourly & Daily Auto update Market Data Gas -- Dawn & Michcon City Gate Gas & Oil Price at Hubs Oil ESO PI ps-eso-pi 1 Current & Historic Data 2 Fuel Supply Analysis and Acquisition Current Fuel Cost 3 $530,000 Annual Savings! Improvements… 30 to 3 people Timely data entry Zero errors

16 16 PI to PI (AGC) AGC – Automatic Generation Control 5 largest Fossil units & Peaking Units are ramped through PI Set Point control $200,000 Savings!

17 17 Layered, Incremental Applications Discrete data Limited value Actionable Information – KPI’s Distributed OSIsoft PI Historians Large Population of Data $3,000,000 Engineering Applications PMAX, Digital Fuel Tracking, Fuel Cost Framework Process Discrete to Data $4,500,000 90% WEB Visualizing Easy Access to Information $5,500,000 100% System Dashboards Fleet Status Assessment $1,000,000 50% Expert Systems Predictive Monitoring, Optimization $11,000,000 60% Annual Savings Business Intelligence Reliability, 4-Block Outage & De-rate (UCF) Maintenance & Market KPI’s Dashboards Fleet Optimization 25% 15% Fleet Optimization $20,000,000 (Projected Savings)

18 18 Business Value at Cargill

19 19 Over 100 Site Locations

20 20 Fast Roll Out, Fast ROI 107 Sites 2 Days Per Site 2 Sites Per Week 5 Teams Approximately to complete full implementation of all sites 52 WEEKS

21 21 Business Value at Microsoft

22 22 Highly Available & Scalable

23 23 High Performance Web Extensions

24 24 Business Value at AEP

25 25 AEP’s Footprint U.S. employees: 20,861 States served: Arkansas, Indiana, Kentucky, Louisiana, Michigan, Ohio, Oklahoma, Tennessee, Texas, Virginia, West Virginia Service Territory: 197,500 square miles Miles of transmission lines: 38,953 Miles of distribution lines: 207,632 Generating capacity: 36,000 megawatts U.S. customers: More than 5 million U.S. electricity sales: Approx. 214 million megawatt hours

26 26 Same Displays on Desktop and PDA

27 27 Business Value at Western Power

28 28 Electricity Networks of Western Australia 30th June 2000 6.6kV 11kV 22kV 33kV South West Interconnected Grid 88,000 KM of Line to Manage

29 29 Generation Transmission HV Distr LV Distr 11-16kV Generators 16kV - 330kV Step up Transformer Transmission Line 330kV, 220kV, 132kV or 66kV Terminal Substation 330kV, 220kV, 132kV, 66kV Step Down Transformers Transmission Line 330kV, 220kV, 132kV or 66kV Zone Substation 132kV, or 66kV, 33kV, 22kV, 11kV or 6.6kV Step Down Transformer Distribution Feeder 33kV, 22kV, 11kV or 6.6kV Distribution Transformer 6.6kV - 415/240V 11kV - 415/240V 22kV - 415/240V 33kV - 415/240V Customer EMS DMS

30 30 Outage Management Enhancement

31 31 Business Value at Tesoro

32 32 Seven Major Refineries Anacortes, WA Mandan, ND Kapolei, HI Martinez, CA Kenai, AL Salt Lake City, UT Wilmington, CA  Acquired in a “roll-up” strategy  All came with different underlying control and information systems  PI ties it all together to make a unified set of information systems

33 33 Business Value at Genentech

34 34 Thousands of Data Sources Reactors Fermenters Freeze Dryers Mixers Purifiers Crystallizers  Distributed, long- running batches  VERY high raw material costs and VERY high value products  Engineers keep batches under control even when away from the plant

35 35 Having PI Makes Things Possible Companies that have an infrastructure in place to manage and deliver operating metrics and key performance indicators will be able to react to the market faster and ultimately outperform the others. John Hagerty, Senior Analyst

36 36 Transpara Background Founded 2005 by Michael Saucier –Significant contributor to ISA standards, S88, S95 –Founded World Batch Forum in 1994 –Founder of PID in 1988, sold to Rockwell in 1998 –Founder of Sequencia in 1997, sold to OSIsoft in 2002 Deeply coupled with OSIsoft at all levels –Technically – ISV with HA, AF 2.0, SDK connectivity –Personally – Pat Kennedy invested in PID and then purchased Sequencia –Spiritually – We simply love PI

37 37 Customer Value Points “Visual KPI is a must-have tool for us to improve our operations, everyone from frontline SCADA support staff and System Operations Managers, all the way up to the CEO rely on it for real-time tracking of operational performance data.” – Power Company Executive “With Visual KPI’s ability to deliver valuable information about our assets to decision makers company-wide, the software implementation will deliver an ROI of 35 million dollars over its first 3 years.” – Transmission Company Executive

38 38 Customer Value Points “It's about as simple as you can get, it took us longer to get the purchasing in place than to launch the actual project. And because the Transpara software has good connectors to PI, the deployment took only a day” – Operations Management

39 39 KPIs Defined Key – Only a subset of all possible viewpoints, those which best reflect the state of an asset, organization or financial entity Performance – Metrics related to performing ones job, or adhering to corporate or government standards, or achieving customer satisfaction Indicator – Not a closed-loop function, KPIs are to be used by people to help them take correct action

40 40 Anatomy of a KPI MinMax Actual Low High LowHigh Target Status = GOOD

41 41 Anatomy of a KPI MinMax Actual Low High LowHigh Target Status = HIGH

42 42 Anatomy of a KPI MinMax Actual Low High LowHigh Target Status = HIGH HIGH

43 43 Composite Measures Defined Re-purpose existing data Assembled not programmed Extend value of data already created Example: Production Rate –Target value from ERP or Planning System –Actual real-time data from AF / PI –High and Low quality limits from SQL Server –Max and Min of machine capability from MRO

44 44 Anatomy of a single Scorecard A collection of KPIs related to each other in some significant way at run-time Collection criteria can be a combination of Dynamic and Static KPI Attributes Some examples: –All KPIs for Equipment Type 1300, With Priority 1 Alarms in the Western Region –All KPIs for Asset 67 with Status <> Good

45 45 Dealing with Many KPIs is Hard Most companies have hundreds or even thousands of KPIs Beyond a few dozen KPIs, the Scorecard Format suffers. Enter the KPI Map KPI Map is good for up to hundreds of KPIs Example: –All KPIs from the NE region –All Wind Farm Assets

46 46 Even more KPIs – Use Rollups! Rollups typically use “worst-case” Overstates low-level problems Transpara developed the True Roll-Up TM concept to handle this problem True Roll-Up (TRU) accurately reflects the state of the entire hierarchy regardless of the number of KPIs involved.

47 47 What is True Roll-Up TM ? Not “worst-case” but the entire state map of all KPIs TRU Chart as Percentage Bar or a Percentage Pie chart. Drill-downs automatically adjust for total number of KPIs in hierarchy The TRU Chart at any level in the hierarchy shows the percentage in any state for all KPIs below that level

48 48 Roles at Various Customers Mechanic I&C Technician Control Room Operator Performance Engineer Regulatory Manager Test Engineer PPO Engineer Quality Assurance Mfg Sciences Engineer Executive Field Supervisor Plant Engineer Operation Manager Control Manager Maintenance Manager Watch Supervisor Process Engineering Process Development

49 49 Visual KPI 3 Architecture PI Historian Real-time Data Meta Data Equations Any RDB Existing Data External KPIs Any LOB App Link to financials Planned values SAP, MRO, etc. Visual KPI Server Composite KPI Engine All meta data in SQL 2005, 2008 Windows Server 2003, 2008 ASP 2.0 Web Site Visual KPI Excel Editor Excel 2003 or Excel 2007 with VSTO Configuration only, no run- time association or storage Publish Scorecards via Web Services Data Sources Any Mobile or Desktop Client Web Services XML over HTTP

50 50

51 51 Easily repurposes data from PI, AF, Microsoft SQL Server, Oracle and any ODBC data source by delivering Scorecards, KPI Maps, KPI rollups and Real-time trends to browsers for decision makers ON THE GO  Works with any desktop, tablet, or laptop and almost any mobile device  Leverages existing data from many systems  Supports hundreds of real-time data sources and hundreds of different mobile devices  Gives stakeholders “one version of the truth”  Reduces risk with more people are in the loop Visual KPI 100’s ofDataSources Composite KPI Software

52 52 `` ENTERPRISE Unstaffed Asset (100’s of sites) Smart Connectors Staffed Asset (10’s of sites) Division HQ’s Business Systems Portal Servers Application Servers Remote PI System PI Analytics Smart Connectors Remote PI System PI Analytics Smart Connectors Division Level PI System Joint Ventures Employees Regulatory Agencies PI Analytics Smart Connectors Data Access Enterprise PI System Mobile Enterprise KPIs

53 53 No Matter Where You Are

54 54 Now You Know


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