Digital Transformation: Asset Performance Management€¦ · Reduce unplanned downtime 3. Reduce maintenance costs • Improved asset uptime & availability: 20-30% • Improve labor

The Schneider Electric industrial software business and AVEVA have merged to trade as AVEVA Group plc, a UK listed company.

The Schneider Electric and Life Is On trademarks are owned by Schneider Electric and are being licensed to AVEVA by Schneider Electric.

Digital Transformation: Asset Performance

Management

Confidential Property of AVEVA Group plc.

Luca Bruni, Sr. Technical Sales Consultant

APM Solutions EURSA

InteroperabilityVisualization

Asset Model AnalyticsOperations and

Optimization

Planning and

Scheduling

Monitoring and

ControlEngineering

Asset

Performance

STRATEGIZE ANALYZE MAINTAIN

Workforce Enablement

Industrial Workflow

Enterprise Asset

Management

Business Intelligence

Optimization

Predictive/Prescriptive

APM Assessment

Risk-based

Maintenance

APM Consulting

Cloud

IndustrialIOT

AI

AR and VR

Cyber-security

Page 2Confidential Property of Schneider Electric |

Asset Performance ManagementMaximize Return on Asset Investment


Maintenance ExcellenceAn ongoing journey


ARC studies show only 18% of asset failure is age-related. Based on these data,

preventive maintenance provides a benefit for just 18 percent of assets, and

monitoring for predictive maintenance is a recommended option for the rest.

Reactive and

Preventive Programs

Predictive Technology

for Early Warnings

www.arcweb.com/Lists/Posts/Post.aspx?ID=260


Challenges Customers FaceHow can we help?

1. Become more proactive in approach to

maintenance

2. Reduce unplanned downtime

3. Reduce maintenance costs

• Improved asset uptime & availability:

20-30%

• Improve labor utilization: 20-30%

• Reduced maintenance cost: 10-20%

3TOP

Challenges

Results with

Asset Performance Management

A Digital Maturity Model

• No consistent digital

strategy

• Opportunistic and

tactical investments

• Investment in

technology

• Automation of existing

business processes

• Company wide strategy

• Optimization and

improvement of

processes

• Cultural change

• Focus on data, contextualized information

• KNOWLEDGE

• New business models and processes

Opportunistic

Digitize

Digitalization

Digital

Transformation

Digital Asset Transformation Unlocking Value Across the Asset Lifecycle

Applying Digital Technology to APM

Pre

scri

pti

ve

Risk-based

Predictive

Achieve the Next Level of Digital Maintenance MaturityWith Comprehensive Enterprise APM

Preventive

Condition

World Class EAM is the Foundation of an APM StrategyClosing the Business Loop to Optimize the Availability of All Assets

Materials

Management

• MRO Inventory

optimization

• Supply chain

efficiency

Mobile Work

Execution

• GIS Location

• Work order execution

• Inspections

Planning &

Scheduling

• Operator rounds

• Work order execution

• Inspections

Preventive

Maintenance

• Time and condition

based

• Forecasting

Asset

Information

• Costs and statistics

• Work history

Industrial

Workflow

• Collaboration of

people, processes and

data

• Customer defined

business flows

Frito Lay Increases

Asset Availability and

Improves Maintenance

Planning


Client:

Frito Lay

Location:

Plano, TX

Closing the Loop:

Frito-Lay is PepsiCo’s largest North

American division, representing 33% of

PepsiCo’s revenues and 38% of PepsiCo’s

profits. Frito Lay selected Schneider EAM

software to improve reliability, performance

and environmental and safety compliance.

SE enabled Frito to standardize work

processes and data collection for improved

labor efficiency.

Results:

We’re Closing the Loop to help the

Frito Lay:

• Increase equipment availability

and reduce unscheduled

downtime

• Improve workforce

collaboration and labor

productivity

• Continuously improve plant

performance, safety and

reliability

Achieved

89% Planned maintenance, increased 9%

Controls roughly

65% of Savory snack market generating more

than $10billion in annual sales

Inventory transfer resulted in

$4 Million Costavoidance due to replenishment

set points reduced

$

%

Risk-based

Predictive

Condition


Preventive

Pre

scri

pti

ve

Condition-based Maintenance

• Optimize maintenance execution based on the

assets operational experience and current

condition

• Reduce preventative maintenance tasks

through the implementation of more proactive

condition based maintenance

• Configurable software based maintenance

triggers and notifications

• Automate initiation of maintenance work

orders based on run hours, limit violations and

defined rules

• Simplify and standardize the connectivity of

business systems with plant operations

2

Predictive


Pre

scri

pti

ve

Risk-based

Condition

Preventive

• Software based modeling of equipment using advanced pattern

recognition

• Uses historical data to describe how a piece of equipment normally

operates and build a model

• Continuously monitors behavior in real-time

• Alerts when the operation differs from the historical norm

• Early warning detection of equipment problems

• Advanced analysis capabilities including problem identification and

root cause analysis

• Extremely easy to use – workflow process

• Model building

• Model tuning

• Playback

• Alarm/alert workflow

• Fault diagnostics

PRiSM Predictive Asset Analytics Software

Air Liquide uses PRiSM

to compressor problems

& avoid forced outages

Client:

Air Liquide

Location:

Global

Closing the Loop:

Schneider Electric helped Air Liquide use

a scheduled opportunity outage to repair

a damaged turbine engine. Prior to the

scheduled outage, the plant notified the

M&D center indicating a vibration sensor

anomaly Air Liquide was able to use a

planned outage to investigate the

compressor and found a cracked

impeller.

Results:

We’re Closing the Loop to help Air

Liquide:

‣ Detect equipment failures before they

occur

‣ Prevent unscheduled system

downtime

‣ Harness real-time information that

brings plant operators and

engineering experts together to

collaborate

Predicting a

CompressorFailure

Using

Real-time DataTo detect unforeseen events

Saving

+500K Preventing reactive maintenance

and unplanned downtime

$


Pre

scri

pti

ve

Condition

Preventive

Predictive

Risk-based

Risk-based approach to APM

Strategy Effectiveness

Criticality

Assessment

Asset Library

Templates

RCM Risk

Analysis

MRO Spare

Optimization

Asset life Cycle

Costing

Root Cause

Analysis

Prioritize Assets

Highly critical

assets receive

priority and more

rigorous analysis

Leverage

Experience

Apply asset

library templates.

Covers 70-90%

of the asset

portfolio

Create

Feedback Loop

Critical assets,

more rigorous

RCM studies can

be applied for

higher detail level

Investigate

incidents and

failures, mitigate

actions taken,

tracked and

assigned

Quantify the

effect of spare

parts to optimize

levels

Strategy/What if

simulation


Pre

scri

pti

ve

Risk-based

Condition

Preventive

Predictive

Digital Training and Simulation

Confidential Property of Schneider Electric

Augmented Experience

Empowering the Workforce with Digital Transformation

Operator and Maintenance

Work Execution

Improve operator safety, reliability of assets and operational profitability

Digitally Transform Operator TasksClosing the Business Loop to Improve Workforce Efficiency

Knowledge

Transfer

Product

Changeover

Alarm and

Events

Regulatory

Compliance

Lock Out /

Tag Out

Process

Inspections

Operator

Rounds

Collect

Stranded Data

BASF Partners with

Schneider Electric for

Industrie 4.0 Initiative

Client:

BASF

Location:

Global

Closing the Loop:

BASF started an Industrie 4.0 initiative to

cover their entire value chain with

multiple work streams including

predictive maintenance and augmented

reality. For the first initiative, BASF

selected SE’s Predictive Asset Analytics

software and for the second initiative

they selected SE’s Operator Rounds

software with integrated workflow for

mobile and augmented reality.

Results:

We’re Closing the Loop to help BASF:

• Enable predictive maintenance to

reduce unscheduled downtime,

improve asset reliability, availability

and performance

• Achieve mobile operator driven

reliability with increased access to

information

World’s Leading Chemical Company

More than

112,000 Employees globally

Augmented Reality Rollout on

400+ PlantsWith 1,000+ End Users

Questions?


Interoperability Visualization

Asset Model Analytics

Operations and Optimization

Manage Asset Operation

Optimize Asset Operation

Planning and Scheduling

Plan Asset Operation

Schedule Asset Operation

Monitoring and Control

Monitor and Visualize

Asset Operation

Control Asset Operation

Asset Performance

Maintain Asset

Analyze Asset Performance

Engineering

Design Asset

Design Operating

Process

Build and

Commission

Asset

Operations

Lifecycle

Improve Profitability

Asset

Lifecycle

Maximize Return on Capital


Industrial Software PlatformPortfolio across operations and asset lifecycle


• Create a real time operational control loop that accurately and

efficiently manages the enterprise based on information and analytics

• Reduce waste

• Increase overall equipment effectiveness (OEE)

• Enhance situational awareness throughout the enterprise

• Integrate supply chain logistics with customer operations

• Optimize maintenance strategies

• Reduce unscheduled downtime

• Improve regulatory compliance and safety

Digital TransformationKey Objectives

We are the market leader in APMWhat the analyst community is saying

“The announcement of a partnership with MaxGrip to provide asset risk assessment and strategy definition rounds out the portfolio of APM solutions to put Schneider Electric in the top quartile of providers from a functionalityperspective.”

Dan Miklovic, LNS Research


Why Does Equipment Fail?And can we prevent it?

Source HPI 2011:- 91% of bearings do not reach their conservative design life.

Machines don’t die, we kill them.

• 25% are preventable but not prevented because of an arbitrary decision that is simply not rooted in

knowledge or experience

• 15% are predictable but not predicted

• 20% are predicted but not stopped to undertake repair

• 25% are predicted and equipment is shut down

• 14% are other (consequential to an external activity)

• 1% are neither preventable nor predictable


Charting Asset FailureToo many variables

What causes a Bad Actor?

• Deficient Maintenance Strategy

• Task Frequency Incorrect

• Activity Not Performed As Scheduled

• Procedural Enforcement

• Parts Availability

• Design Change Needed

Documents

Digital Transformation: Asset Performance Management€¦ · Reduce unplanned downtime 3. Reduce maintenance costs • Improved asset uptime & availability: 20-30% • Improve labor