Unlock Your Manufacturing Data - Oct 2013
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Transcript of Unlock Your Manufacturing Data - Oct 2013
SYSTEMS INTEGRATION MANUFACTURING OPTIMISATION
www.simotechnology.com
Manufacturing Solutions for the Future Seminar and Exhibition
“Unlock Your Manufacturing Data to Drive
Manufacturing Optimisation and Results”.
Presenter: Pat Desmond, Managing Director, SimoTech
Presentation Topics
• Manufacturing Intelligence Overview
• Business Drivers
• What Data are we looking for?
• Typical Solutions/Vendors
• Developing the Business Case
• Execution Strategies
• Some Challenges
The Case for Change
“If you always do what you have
always done, you will always get
what you have always got”Henry Ford 1863 – 1947
Benjamin Franklin 1706 – 1790
“If you fail to plan, you
are planning to fail!”
Roy Keane Saipan 2002
Speaker Background
�25+ Years in Manufacturing Automation
�Wide range of industries including Life Sciences, Food, Waste
Water, Oil & Gas, Chemicals
�Primary focus on advancing operations by using the latest
technologies
�Primarily working with the end users to realise the results on
the ground
My ‘DATA’ Career Profile
1 MB 8 Inch floppy 128 GB
“I am passionate about using every available piece of data to
maximise processes.
That why I got into the automation business in the first place”
SimoTech Overview
“SimoTech provide Automation and Manufacturing Information Systems
Professional Services and Solutions to Manufacturing Industry”
Particular expertise is in the area of Manufacturing Information Systems for
regulated industries such as Life Sciences and Food & Beverage
Experienced in all levels of hardware and software from field
instrumentation to Manufacturing Execution Systems
SimoTech’s team has worked as End Users, Engineering Consultants, System
Integrators and Project Managers so we are uniquely positioned to
understand the challenges from all aspects
“We provide Global Experience at Local Level”
Manufacturing Intelligence Overview• Manufacturing Intelligence (MI) refers to an important class of information
technology that enables better decision-making and improved business
performance based on the ready availability of real time status and
performance metrics throughout the organization
• MI typically applies to production, planning and asset management
activities
• Typical objectives of MI are to achieve higher levels of production against
assets, reduce the cost of production and, ultimately, improve the bottom
line
• An MI platform aggregates, relates and presents operational and business
data in real time
• It does so in a manner that is intuitive and useful for every individual who
plays a role in delivering business results
• It can be applied initially to an individual site, and evolved to include all
sites, divisions, regions and the overall enterprise.
Business vs Manufacturing Intelligence
Objectives Business Intelligence Manufacturing
Intelligence
Timeframe Historical Data
(Months, Quarters,
Years)
Real-Time Data
(Min, Hrs, Days)
Areas of Interest Financials, CRM,
Supply Chain
Manufacturing,
Engineering,
Quality,
People Corporate Corporate, Local
Focus Strategic Tactical
Cost Impact on
Organisation
Bottom Line
> 10 % of turnover > 1 % of turnover
Corporate Business Drivers � Ensure consistent quality and performance across global operations
� Balance manufacturing with demand to optimize material usage and
asset utilization
� Improve and meet regulatory compliance
� Implement more flexible and agile manufacturing operations to
respond to rapidly changing market conditions
� Improve response to events that occur on the plant floor
� Meet demanding requirements and metrics for on-time delivery
through reduced repair time and increased OEE
� Reduce the cost of design, deployment, and support of
manufacturing and IT systems at global manufacturing plants
Industry Metrics
� Successful new product introductions – measured as the average share of NPI’s that hit
quality, time and volume targets
� Overall Equipment Effectiveness (OEE) – composite metric accounting for availability,
performance and product quality
� On Time and Complete Shipments – products delivered on time and complete as
compared to original commitment
� Operating Margin – a ratio of the profitability calculated as net income divided by
revenues or net profits divided by sales
The Challenge facing Manufacturing
I know the
solution is here
somewhere !
Process
Historian
MES
Machine
Data
Automation
Systems
Document
Mgmt
Training
RecordsLIMS
CAPA
Quality
Systems
Energy
Mgmt
Maintenance
Mgmt
Engineering
Systems
Inventory
Mgmt
ERPProduction
Planning
Production
Systems
The Challenge facing Manufacturing
Process
Historian
MES
Machine
Data
Automation
Systems
Document
Mgmt
Training
RecordsLIMS
CAPA
Quality
Systems
Energy
Mgnt
Maintenance
Mgmt
Engineering
Systems
Inventory
Mgmt
ERPProduction
Planning
Production
Systems
I know the
solution is here
somewhere !
Ab
ilit
y o
f O
rga
nis
ati
on
to
re
spo
nd
to
ch
an
ge
BUSINESSRULES
Perform To
Demand
CORPORATEEXPECTATIONSSHAREHOLDER VALUE
ORDERS SPECIFICATIONS
PerformanceTo schedule
Overall processperformance metrics
Operating data transformed into assetperformance KPIs
Large volumes of extremely detailed production data from
multiple back-end data sources
INSTRUMENT
DEVICE I/OTAGS
EQUIPMENT & ASSET
PRODUCTION MODELS RECIPES/BOMS & ROUTES
MATERIAL & PRODUCT FLOWS
Correlate of work process data,equipment data and product data
Incr
ea
sin
g S
tra
teg
ic V
alu
e
to t
he
En
terp
rise
Sensors, Actuators, Motors
€€€Quarters
Months
Days
Weeks
Hours
Hours
Min
Sec
Manufacturing Intelligence Foundation
• What if everyone in your organization had an up to the minute view of
performance against individual and group objectives?
• What if everyone was presented with all of the information they need to
make good day-to-day decisions that will drive the individual and the
organization to higher levels of achievement
• What if you took the learning of the ‘Old Timers’ and Subject Matter
Experts and made it freely available to all
• What if you empowered employees, delivering the Right information, to
the Right Individual at the Right Time”
Faster Decision Making, More Informed Decision Making, More
Accurate Decisions, Less Reliance on Scare Senior Resources,
More Satisfied Workforce, Less Risk
Leverage the Power of People
Supply Chain Connectivity via ERP
ConsumerGoods In
DistributionGoods In Goods Out
RetailerGoods In Goods Out
PackagingGoods In Goods Out
FinishingGoods In Goods Out
Bulk ProductionGoods In Goods Out
R& D /Pilot ScaleGoods In Goods Out
ConsumerGoods In
DistributionGoods In Goods Out
RetailerGoods In Goods Out
PackagingGoods In Goods Out
FinishingGoods In Goods Out
Bulk ProductionGoods In Goods Out
R& D /Pilot ScaleGoods In Goods Out
ERP ERP ERP ERPBusiness
Unit 1Business
Unit 2
Manufacturing Chain Connectivity
Getting rid of the information silos between plants and between business
units
Packaging
Finishing
Bulk Production
R& D /Pilot Scale
Packaging
Finishing
Bulk Production
R& D /Pilot Scale
Packaging
Finishing
Bulk Production
R& D /Pilot Scale
Business
Unit 1
Business
Unit 2
Business
Unit 3Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Production Train Connectivity
Getting rid of the information silos within plants
Raw Materials
Dispensed to
Manufacturing
Unit Operation 1
Unit Operation 2
Unit Operation 3
Finished Goods Return
to Warehouse
Raw Materials
Dispensed to
Manufacturing
Unit Operation 1
Unit Operation 2
Unit Operation 3
Finished Goods Return
to Warehouse
Raw Materials
Dispensed to
Manufacturing
Unit Operation 1
Unit Operation 2
Unit Operation 3
Finished Goods Return
to Warehouse
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Reference Plant IS ArchitectureEnterprise
Zone
DMZ
ManufacturingZone
Enterprise Network
E-Mail, Intranet, etc. Site Business Planning and Logistics Network
ApplicationServer
EngineeringWorkstation
DomainController Site Manufacturing
Operations and Control
MES
SCADA Client Operator
Interface
OEM Client Engineering
Workstation
OperatorInterface
AreaSupervisory
Control
Basic ControlBatch
Control
Sensors
DiscreteControl
DriveControl
ContinuousProcessControl
SafetyControl
ActuatorsDrives Robots Process
Firewall
Firewall
WebE-
TerminalServices
PatchManagement
ApplicationMirror
Web ServicesOperations
ApplicationServer
AVServer
Cell/AreaZone
Level 0
Level 1
Level 2
Level 3
Level 4
Level 5
Typical Software Solutions Providers
� Werum PAS-X
� Rockwell FT Production
Suite
� Camstar Entreprise Platform
� Siemens SIMATIC IT
� Wonderware Archestra
� Siemens HQX
� SAP Mii
� Rockwell FT Vantage Point
� Informetrics InfoBatch
� GE Proficy RtOi
Operational
Intelligence
Solutions
Manufacturing
Execution
Systems
Do you need an Execution System, and Information system, or both?
Implementation Strategy
Take it one step at a time, avoid the big bang
Prove The Theories Before Jumping In
• Build a team that is passionate about the opportunities
(Visionaries and Salesmen)
• Start with a Pilot, take a vertical slice of the plant or
organisation
• Involve Stakeholders from all disciplines
• Encourage participation from global locations
• Secure involvement of technology suppliers
• Don’t assume the ‘market leader’ has the best solutions
(technology is changing everyday)
• Finally develop your detailed requirements
Plant Type 3 (Core
+ Site Specific
Customisations)
Plant Type N (Core
+ Site Specific
Customisations)
Plant Type 2 (Core
+ Site Specific
Customisations)
Plant Type 1 (Core
+ Site Specific
Customisations)
Roll-Out Strategy
Core Solution
(Common to all
plants
Plant Type 1 (Core
+ Site Specific
Customisations)
Plant Type N (Core
+ Site Specific
Customisations)
Plant Type 2 (Core
+ Site Specific
Customisations)
Plant Type 3 (Core
+ Site Specific
Customisations)
Feed from the core and feed back to the core.
Core changes should have a solid governance process
Formulating the Business Case
• Develop a Project Charter
• Identify Stakeholders
• Operations Project NOT an IS Project
• Identify the Success Criteria
• Establish the tangible and non tangible benefits
• Tie the project goals and improvements back to the
business strategy
Typical ROI Strategies
ROI Must be Tangible and Measurable
Cost of Labour � Avoid or reduce head count,
� Use less qualified resources, less training
� Divert experienced resource to higher value tasks,
� Share expertise among plants,
� Encourage experience people to stay longer and avoid re-training
Cost of Capital� Avoid buying additional equipment
� Get the existing equipment to run more efficiently
� Use under resourced equipment in the network
Cost of Lost Opportunities� Reduce time to market on new products,
� Reduce downtime and supply more of the market
� Reduce manufacture to shipment time
Typical ROI Strategies
Cost of Reputation� Reduce product recalls,
� Increase quality
� Reduce consumer price
Cost of Raw Materials� Use less raw materials,
� Ensure the raw materials we are using meet quality requirements
Cost of Overheads� Reduce energy requirements
� Reduce management supervision
� Reduce transportation and storage
Challenges (The Obvious Ones)
• IT Infrastructure (speed, redundancy, storage capacity,
resilience, connectivity, security)
• Data Quality and Context (Rubbish In, Rubbish Out)
• Data Validation (is the information going to be used for
regulated product release or investigations)
• Business Re-Engineering and Re-Training
• Fear Factor (Is Big Brother watching, do people want to be
held accountable)
• Availability of Key Resources during project execution (Todays
production always has priority)
• Can you really measure ROI (sure would we not would have got
those savings anyway
• Over Expectation (this is not YouTube or Google, it does not
contain all the answers!!!)
• Scope Creep
• Industry Expertise (is the experience out there?)
• The Known Unknowns
Challenges (The Obvious Ones)