1 © 2008 OSIsoft, Inc. – Japan Seminar 2008 Why do we need a Real Time Infrastructure for...

1© 2008 OSIsoft, Inc. – Japan Seminar 2008

Why do we need a Real Time Why do we need a Real Time Infrastructure for Performance Infrastructure for Performance

ManagementManagement

Why do we need a Real Time Why do we need a Real Time Infrastructure for Performance Infrastructure for Performance

ManagementManagement

2© 2008 OSIsoft, Inc. – Company ConfidentialJapan Seminar 2008

AgendaAgenda

Introduction

Energy Survey

Quick overview of OSI and PI

Evolving usage of PI in Performance Management

Observed attributes of successful PI Customers

Q & A


OSIsoft is a Global Software CompanyOSIsoft is a Global Software Company

> $200M Revenues Over 20% reinvested in R&D

Approaching 50% revenue from outside NA

25+ Year History Founded 1980, ~ 630 employees

HQ San Leandro, CA

Recognized global leader Dominant market position across

industries

Recognized

Experienced

Knowledgeable

14,000+ Installations in 120 Countries 50% of Fortune 1000 process and

manufacturing companies use the PI System 65% of Global 500 process and

manufacturing companies use the PI System

Strategic Partnerships Microsoft, SAP

Cisco, Intel Yokogawa, Emerson, Rockwell


Trusted by Global Industry LeadersTrusted by Global Industry Leaders

Pulp, PaperPulp, Paper& Converting& ConvertingPulp, PaperPulp, Paper

& Converting& Converting

Alabama River Pulp

Metals, Metallurgy Metals, Metallurgy and Materialand Material

Metals, Metallurgy Metals, Metallurgy and Materialand Material

Oil and GasOil and GasOil and GasOil and Gas

UtilitiesUtilitiesand Powerand PowerUtilitiesUtilities

and Powerand Power

ChemicalsChemicalsChemicalsChemicalsChemicalsChemicalsChemicalsChemicals

POLIMERI EUROPA

PharmaceuticalPharmaceuticaland Lifesciencesand LifesciencesPharmaceuticalPharmaceutical

and Lifesciencesand Lifesciences


ServerGathers, Organizes, Distributes,

and Stores Data from Many Sources

VisualsDeliver Information for Meaningful,

Better Business Decisions

Structure /AssetData

Real-TimeData

CustomData

IT Data RelationalData

WebServices

ERP /Maintenance

PerformanceImprovement

OperationalVisibility

KnowledgeManagement

ProductQuality

LeanManufacturing

AssetManagement

SituationalAwareness

AnalyticsTurn Valuable Real-Time Data

Into Actionable Information

The

The

The

Functional Groups of The PI SystemFunctional Groups of The PI System


PI Usage ExamplesPI Usage ExamplesPI Usage ExamplesPI Usage Examples


ProcessBook: Digester Overview ProcessBook: Digester Overview

9© 2008 OSIsoft, Inc. – Company ConfidentialJapan Seminar 2008Copyright © 2006 Company Confidential. All rights reserved. 9

DCS Display


SPC Displays and ReportsSPC Displays and ReportsStatistical Quality Control


Environmental Monitoring


Diagnostic – process loop needs tuningDiagnostic – process loop needs tuning


Water Quality


Engine Performance


Energy ManagementEnergy Management

AGGREGATE


Power GenerationPower Generation

•Greenwood – 785 mw•River Rouge - 527 mw •Fermi – 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


Transmission & Distribution


Wind Power


SmartSignal — Early Detection in MaintenanceSmartSignal — Early Detection in Maintenance

By creating a dynamic band around each

sensor value in real time and correlating it to other sensor values, SmartSignal provides the earliest possible

warning.


Energy Management


***Data altered for IP***.

Mining Operations


Use ExamplesUse ExamplesUse ExamplesUse Examples

Data Center Monitoring


Facilities Monitoring


University Energy Usage

25© 2008 OSIsoft, Inc. – Company ConfidentialJapan Seminar 2008 •25

Real Time Data at BPReal Time Data at BP• Real Time Drilling • Drilling Visualization

• Topsides Monitoring

• One Touch

• ISIS

• AWS (Subsea)

• Process Net

• Subsea/Well Surveillance • Riser/Mooring Data

• Rotating Equipment

• Integrated Marine Monitoring

•Fib

er

Opti

c N

etw

ork


Inexcon – EKHO - OEE Analysis ReviewInexcon – EKHO - OEE Analysis Review


Performance Analytics in ConvertingPerformance Analytics in ConvertingPersonalized Dashboards OEE Analytics

Quality Analytics

Capacity Analytics

Downtime Analytics Cycle Time Analytics


The Changing Nature of OSIThe Changing Nature of OSI

Usage evolving from facility level to enterprise level– Increased focus on infrastructure and away from

applications– Increased focus on partners to provide applications– Increased focus on performance measurement

Increased focus on sustainability and dealing with today’s critical issues– Energy – conservation, renewables– Environment - air and water quality– Sustainability - carbon management, biorefining


``

ENTERPRISE

Data Center

Smart Connectors

MFG Sites

Division HQ’s

BusinessSystems

PortalServers

ApplicationServers

Remote PI System

PI Analytics

Smart Connectors

Remote PI System

`

`

`

PI Analytics

Smart Connectors

`

`

Division Level PI System`

`

`

`

`

EmployeesManagement

PI Analytics

Smart Connectors

Data Access

Enterprise PI System

`

`

`

Enterprise awareness through PIEnterprise awareness through PI


27%

33%

37%

41%

52%

0% 10% 20% 30% 40% 50% 60%

• Lack of funds and/or lack of perceived value

• Lack of strategy to unify informationacross manufacturing

• Lack of timely information to make informed decisions

• Incompatible and inconsistent systems

• Gap between enterprise resource planning (ERP) and factory floor

Top Business ChallengesTop Business Challenges

Aberdeen Group – 2006 Survey


Major IT ChallengesMajor IT Challenges

31%

36%

38%

47%

63%

0% 10% 20% 30% 40% 50% 60% 70%

• Difficulty of providing users with information for decision making

• Aging or proprietary systems

• No unifying manufacturing architecture

• Multiple applications to support

• Difficult to integrate existing systems

•All participants

Aberdeen Group – 2006 Survey


Manufacturing Metrics Gap Analysis: Importance vs. Perceived PerformanceManufacturing Metrics Gap Analysis: Importance vs. Perceived Performance

Source: AMR Research, 2006

% of responses indicating 4 or 5

Q: How Important are each of the following capabilities in using manufacturing metrics to drive better business decisions? (1 not very important/5 extremely important)

Multi-site performance analysis

Enterprise visibility of production

financial performance

Aggregation of data frommultiple plant floor sources

Multi-site aggregation of datafrom production assets

Centralized repository for multi-site data

Ability to compute a composite metrics from multipleKPIs aggregated from multiple plant floor sources

Acquisition of time series data from the plant floor

Role-based visibility of real-time KPIs and exceptions and on-demand reports

67%

65%

59%

59%

58%

56%

55%

68%

49%

50%

45%

41%

33%

38%

55%

44%

Importance

Performance


Manufacturing Performance VisibilityManufacturing Performance Visibility

Prospective users and implementation groups need to recognize that achieving manufacturing performance visibility isn’t as simple as buying a one-size-fits-all software application....

Instead, users should focus the design of an information architecture that can be tapped at multiple levels to serve up what’s needed to tackle performance improvement initiatives….

** Enterprise Manufacturing Intelligence Architectures - AMR Research – February 2008


Observed Criteria of Super Observed Criteria of Super Successful OSI CustomersSuccessful OSI CustomersObserved Criteria of Super Observed Criteria of Super Successful OSI CustomersSuccessful OSI Customers


The CSAP Initiative covers the two bottom levels (Process Control and Real-Time Information) of the typical pyramid describing the information flow …

The CSAP Initiative covers the two bottom levels (Process Control and Real-Time Information) of the typical pyramid describing the information flow …

•Plantwide Information Management System (PIMS)

• PROCESS CONTROL LEVEL

• REAL TIME INFORMATION LEVEL

• ENTERPRISELEVEL

• MANAGEMENT LEVEL

•CEMEX Strategic CEMEX Strategic Automation PlanAutomation Plan

•Process Control Systems (PCS)

•Advanced Process Control (APC)

•Cyber-Security


Enterprise Integration at AMGEN Enterprise Integration at AMGEN

•Business Process Information Network

•Level 3

•Process Device

•I/O and Sensors

•Manufacturing

•Level 0

•Level 1

•Level 2

•Level 3•ManufacturingOperations and

•Control Systems

•EquipmentControlSystems

•Data Collection,Operator, and Batch

Control Systems

•Level 4•Business

Planning and •Logistics Systems

•High Alarm•Low Alarm•Comm.

Err.


Err.


Err.

•Operations Information Network

•Automation Network

•Discrete Device •Process Device

•Site / Functional

Area

•Plant Specific PI


Add in DTE, BP and Exxon as examples of infrastructure


Requirements for SuccessRequirements for Success

In surveying our customers who have achieved outstanding success in performance improvement using the PI Infrastructure, we see these key attributes….


Requirements for SuccessRequirements for Success These Customers -

– Have committed Stakeholders– Recognize that Value is achievable– Have a Vision of what they want to do– Establish the Framework for implementing the vision– Install the PI Infrastructure for collecting, analyzing and

processing real time and asset related data– Prioritize projects based on the Potential Return– Tackle Small Projects sequentially– Measure and publish the Results they achieve– Adopt the PI Infrastructure as a fundamental part of their

continuous improvement program.– Establish a collaborative working relationship with OSIsoft

under an Enterprise Agreement.


Intrinsic Values of the PI InfrastructureIntrinsic Values of the PI Infrastructure


The EndThe EndThe EndThe End

1 © 2008 OSIsoft, Inc. – Japan Seminar 2008 Why do we need a Real Time Infrastructure for...

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