business value from sdm- a decade of production … decade of production experience nafems white...
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Business Value from SDM-a decade of production Experience
NAFEMS White Paper
Mark Norris CEng [email protected]
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Mark Norris [email protected] and SPDM Consultant
• 30 years experience of designing and delivering information systems for Engineering to deliver business improvements
• PLM solution design and delivery for automotive,aerospace, industrial and consumer packaged goods.
• 5 years in the SDM domain focusing on value, valueanalysis, solution design and best practices.
• SDM value analysis and successful proof of concept for amajor Aerospace Gas Turbine company
• SDM consulting for $Bn companies across industry sectors• Author of the NAFEMS white paper on the Business Value
of Simulation Data Management
Mark Norris
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Course Overview
The NAFEMS SDM Working Group has developed and published a White Paper which has the clear objective of helping engineers to understand and to communicate the business value of SDM to their organisation.
This short training session will provide a summary of the White Paper and an interpretation of its key messages.
This short training is taken from the NAFEMS e-learning training course on SDM which is delivered on-line and on-site, see the e-learning agenda in the next slide.
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NAFEMS - The International Association for the Engineering Analysis Community© 2013 theSDMconsultancy
Essential Principles of SDM eL079 Session 3 V1.0 Page 4
Session 1aIntroduction to SDMThe NAFEMS SDM Working GroupBusiness & operational challengesWhy is it hard to manage simulation data?How can SDM help?
Session 1bThe evolution of simulation dataSDM requirements from the NAFEMS user surveyUnderstanding metadata Process in SDM
Session 2aReview of independent study responsesReview of Simulation Data Management challengesThe 7 Core Capabilities of an SDM1.0 solution Technologies for SPDM solutions; PLM, Standards‐based, SDM, Web
Session 2bSDM solutions deployed todayKey components for successful deploymentData lifecycle management3 generations of SDM solutions with case studies SDM in an overall PLM landscape
Session 3Review of independent study responsesIntroduction to Business Value from SDMOperational Business Value from SDMEnterprise Business Value from SDM
Session 3Justifying an SDM deploymentMaking an SDM deployment successfulCase studies of SPDM solution deploymentThe SDM Value Assessment
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
North America Training Dates3 Day Introduction to FEA Live Training classes
• Location: Toronto, ON Canada Date: September 1-3, 2015• http://nafems.org/events/nafems/2015/practical_introduction_to_fea_on/
• Location: Seattle, WA USA Date: September 22-24, 2015• http://nafems.org/events/nafems/2015/practical_introduction_to_fea_wa/
• Location: Houston, Texas USA Date: September 29- October 1, 2015• http://nafems.org/events/nafems/2015/practical_introduction_to_fea_tx/
• Location: Columbus, OH USA Date: October 20-22, 2015• http://nafems.org/events/nafems/2015/practical_introduction_to_fea_oh/
• Contact [email protected]
NAFEMS World Congress 2015 | 21-24 June | San Diego | California | USA© 2015 theSDMconsultancy
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Agenda
• Introduction to SDM– Definition of SDM– SDM solutions today
• Justification of SDM– Industrial context and challenges– Justification approaches
• Sources of Business Value– Operational Savings in the Analysis Organisation – Enterprise Value
• Conclusion
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• Simulation Data Management (SDM) is a breakthrough technology which uses xDM database solutions to enable analysts to manage complete simulation data sets
• An SDM database solution can replace– Your logbook– Your file system
to manage complete simulation data sets globally, securely, rapidly, transparently
• The use of the acronym SPDM unambiguouslyincludes the process dimension of SDM
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Current Situation of SDM
• Companies who “get” SDM are achieving large and growing benefits to the enterprise and to analysts– Virtuous circle, know how to implement, effective pre-project
preparation prior to deployment helps
• Companies new to SDM are struggling with solution selection, implementation & adoption– xDM/xLM projects are transformation, so difficult– SDM is different, so standard PLM methods fail– Few vendors & consultancies have SDM skills
• My objective is to help more companies “get” SDM and obtain the potential benefits– Education and training– Development of a Body of Knowledge– Consulting to help you succeed
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Searchfor data
Submit & Solve
Extract & Post‐Process
Create ReportM
esh
Assemble
What were the Inputs? the Process Parameters, the Outputs? the Key Results? ….. Navigate the Structure and find the Answer
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VDA xDM definition
cPDM, SDM,…
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VDA: Core Functionalities of Simulation Data Management Systems
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Core functionality – summary
Data Items: Metadata
Data Access: FunctionSearchDatabase
Security & integrity:
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Validated Material data
Information Structures deliver Value
Validated meshes
Automated model assembly
Work In Progress Visibility
Validated Process Templates
Process Execution data
Results Traceability
Key Results Visibility
Automated Reporting of Machine-Readable Structures
Immediate Audit Trail for Regulatory Compliance
Secure Structure access enables remote work & outsourcing
WIP visibility enables 24/7 Global Collaboration
Structure maintains traceability after deletion of bulk data
Structure Security protects Partner, OEM, Supplier IP
Structure Import & Validation
Post-Processing Automation
Reuse & modification of structures
Graph courtesy of MSCSoftware© 2015 theSDMconsultancy
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
SDM must decrease the data management overhead
• In the File Systems world, Analysts may manipulate tens or hundreds of files to prepare a simulation run
• The File System is popular because file access and manipulation is very fast.
• An SDM solution should enable an analyst to access files and launch processes with as little effort as in the file system world
• Solutions which cost the analyst time will not get used
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• Support the sequence of activities from problem statement to final results– Skilled activities
• potentially guided by templates, need recording – Repetitive & well defined activities
• Data manipulation - automatable with SDM or 3rd party tools• File manipulation – automatable with SDM• Metadata capture – automatable with SDM• Audit Trail capture - automatable with SDM• Job submission – can address licence capacity issues
– Computations• Captures inputs, outputs and process data automatically
Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
xDM Platform
Web Application Server
RDB Server
Database
Tables
DatabaseOracle/DB2/MS-SQL
Other PLM Applications
StorageNFS
FTP-vaultvault
vault
Storage/ILM
Web client, Browser and/or Rich
Simulation Data Manager
SDM Applications
SDM User Interface
Job Submission
HPCComputeCluster
HPC Queue
Client within Interactive CAE Applications
Process Manager
Interactive CAE Applications
Scripts; Java, Python,..Translation & Compression Services
Third Party solutions in light shaded boxes© 2015 theSDMconsultancy
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Simulation Data is diverseRequirements
Structure Definition + Geometry
Materials
Test-cases, Regulatory & Performance
Process Definitions/TemplatesSystem Definition & Parameters
©theSDMconsultancy
Measured Loads/Inputs
Input data, intermediate data, process & results data
Discrete Solution
Discrete Model
Mathematical Model
Physical System
Discrete Solution
Discrete Models
Math Models
Physical System
Physical Test Results
Simulation Process Audit Trail
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SDM Workspace
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CAD Part FE Mesh Input Deck
Analyzemodel Outputs
An SDM manages the complete Simulation Data set, provides access to IP, metadata and viewables
The original data-file is online, compressed, archived or can even be deleted
CADFile
MeshFile
BD file
O/P deckASCII
VisFile
view-ables
O/P deckCompressed
Results Report
O/P deckBinary
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Intuitive Presentation of Information, accessible even if the data is remote
Simulation& Process Data Set
Key Results
SDM audit trail and object data display
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Dashboards to Track Results against Targets
Track Targets & Requirements
across Variants
SDM project status tracking
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Who offers SDM solutions?• SDM vendor types and vendors:
– SDM specialists: MSCSoftware, PDTec– CAE Vendors: ESI, Altair, Ansys, Beta, DS Simulia, – PLM vendors: DS, Siemens– Standards Solution Vendors (STEP) - Jotne
• SDM solutions have different approaches, capabilities, strengths, weaknesses, levels of maturity,…– CAE vendors may provide an integrated environment, but for their
tools, and have to invest heavily in platform development for a small market
– PLM vendor staff typically don’t understand the needs of the M&S organisation, often have a CAD validation focus
• Caveat Emptor – the buyer should beware
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• Bespoke SPDM - custom developments by IT department or Services Providers– still a major business today, 10s of $Ms
• SDM 1.0 - customisation and custom extension of SDM platforms & applications– 2000 to 2011, SDM lags other PLM domains
• SDM 2.0 - Configurable SDM applications on SDM and PLM platforms– 2012 onwards, but for a finite list of use cases
• SDM 3.0 : the management of virtual experimentation across the virtual enterprise– 2015 onwards, MoSSEC standard maturing
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• SDM solutions have been in full production at Early Adopters for more than a decade
• Early adopters have achieved breakthrough improvements in engineering throughput by eliminating laborious tasks & providing instant global access to information
• BUT companies new to SDM are struggling with system selection, justification, deployment and adoption– xDM/xLM projects are transformation, so difficult– SDM is different, so standard PLM methods fail– Few vendors & consultancies have SDM skills
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
White Paper: Business Value of SDM• 2 year study reported through
NAFEMS Simulation Data Management Working Group based on a decade of production experience
• Interviews and workshops with – Ten Aero & Auto OEMs– Three Tier 1 suppliers
• Analysis and summary of papers from NAFEMS SDM conferences and CPDA conferences
• Extensive peer review
• Provides a framework to develop and justify an SDM project
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SDM Value Opportunities • Productivity gains for repetitive/iterative analyses• Increased engineering throughput
– More products or greater performance
• Reduced training, fast deployment of new techniques• Reduced re-work, corrective and repetition
– Saving effort, cost and time
• Cost savings through use of distant resources– Travel costs, team utilisation, supplier costs
• Accelerated achievement of program goals– Through increased availability of Analysts, internal/external– Through more what-if experiments
• Reduced program cost and risk– Through increased up-front simulation
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THE INDUSTRIAL CONTEXT & CHALLENGES
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• Companies face unprecedented pressures to improve Product Performance– Environmental Pressure for fuel economy and emissions– Regulatory Pressure for Safety, passenger and pedestrian– Competitive Pressure; Performance, Cost, Quality, Features
• Companies are turning to simulation-based development to achieve these improvements due to– Fidelity of simulation results, Speed & Cost per Iteration– Flexibility to investigate alternatives and combinations
• Companies need to increase Simulation Capacity– Empower analysts to achieve greater throughput– Democratise analysis to a wider population
• Companies need to globalise Simulation Capacity– Access distant/exterior resources– Exchange with OEMs, Partners, Suppliers
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Core Challenges Terabytes of files per day, typically on file systems with limited access controls & version traceability •Methods & processes vary•Results are buried in large files•Reports & audit trails are manual•Seeking & providing data, collaboration & supervision are by f2f meeting•30-50% of time seeking or imparting data
Distance magnifies Challenges•Collaboration & supervision complicated by time-zones, languages, cultures•Work in progress is inaccessible•Only standard meshing can readily be distributed
Multi-Discipline magnifies Challenges•Exchange is time-consuming and error prone•Different “languages”•Rework due to wrong inputs is a major concern for Aero OEM’s
Partner Exchange magnifies Challenges•Transfer and traceability without full disclosure of Intellectual Property•High costs, ineffective methods, slow, f2f, manual, files and documents
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0
40
80
120
160
200
2000 2002 2004 2006 2008 2010 2012
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Sim
ulat
ion
Cap
acity
Simulation compute capacity:Moore’s Law
Expert Analyst Capacity: educate – PhD, train, develop expertise,…
Engineering throughput is now limited by Expert Analyst Capacity
Need CPU
Need Analyst Capacity
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0
40
80
120
160
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2000 2002 2004 2006 2008 2010 2012
• SPDM raises productivity through lean, effective processes, • Provides a global platform for remote working• Enables industrialisation through managed access to proven definitions
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Sim
ulat
ion
C
apac
ity
Simulation Compute Capacity:Moore’s Law
Expert Analyst Capacity: Educate-PhD, Train, Develop Expertise,…
Indu
stria
lise
Raise
Produ
ctivity
Work Re
motely
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Engineers spend their time searching for/ providing information & manipulating data
• Major productivity gains have been achieved for expert engineers in the simulation domain Key success factor is a focus on decreasing the information and data management overhead
Engineers spend time providing information that was not requested and receiving un-needed information
Opportunities to increase time spent on technical work and hence increase throughput
Time spent on communication of un-needed information can be reduced by storage of information in a structured way in SDM. Engineers only have to supply SDM with information once and can extract just the information they needInformation is also available in SDM independent of geographic location
Reference: Mark A Robinson An empirical analysis of engineers’ information behaviours© 2015 theSDMconsultancy
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JUSTIFYING SDM
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The Value Opportunity
A complex data management problem+That takes up much/most of the time of expensive, scare staff=Opportunity for Information Technology to deliver significant value
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Justification is Different to PLM
• PLM is typically justified by downstream savings, focus on overall program– Engineers asked to spend more time storing
data in PLM to enable enterprise/program savings
– Manual data entry is economically justified• Analysts are busy and expensive staff
– Increasing the time analysts spend managing data is unacceptable
– Analysts interact with ~hundreds of information items per day, any overhead is x 100s
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• Simulation data is:– the input to a process– the output from that process – the input to a subsequent process
• A vehicle simulation may contain 150+ new objects, relationships and results, hours of work to store manually
• The audit trail and most meta-data can be captured automatically
• Automated data capture saves time, hours per day, ensures data quality & provides traceability
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
SDM Value and Justification
• Management will demand credible projections of $ savings
• $ savings to justify the project may be different from the strategic objective of the project
• A Proof of Concept is a good route to provide tangible proof of potential savings – here SDM2.0 helps
• Different Industries and Organisations have widely different needs, requiring a specific Value Assessment
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OPERATIONAL SAVINGS IN THE ANALYSIS ORGANISATION
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The Simulation Challenge (BMW 2001)Expanding Capacity, Managing Process & Data
# of CAE Simulations Complexity of Simulations Data per Simulation
Nearshore/Offshore Development & Integration
Driving Demand for Analyst Productivity
Source: BMW
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Solve Post-Process Report
SDM: Low added value, laborious tasks eliminated to free up Analysts’ time better engineering decisions
Traditional timeframes: Afternoon Night Morning
AssembleModel
Models
Meshes
Load Cases
Pre-ProcessingApplications
Input
Decks
ComputeApplications
Output
Decks
Solver
Plots
Cross sections
MoviesImages
ValuesIndividualFiles
Post-ProcessingApplications
Assemble reportCompare and annotatePost-processing results
Movie-merges
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Audi reported a 35% productivity gain, initially from : – model documentation
– automation of results extraction, 10,000/day – report generation – documentation by creation of 200,000 objects/day
Curve comparison
Report
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
Audi Model Assembly
• Simulation Variant Configurator automates Model Assembly• Dramatically accelerates iterations • Enables remote, secure job submission
Data
Load
case
s
50% of users are-remote-not Audi employees
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
• Effective SDM processes directlyaddress operational challenges, save analysts’ time and reducebusiness risk
• Efficiency gains are made fromprocess automation, saving moreof analysts’ time
• Product and/or process innovations are enabled by this extra simulation capacity
Effectiveness
Innovation
Efficiency
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Value of SDM - 1
• Reduced search time – Classification of data– Multi-criteria Search– Navigation of data-sets– Data is accessible even
when the analyst is not– Catalogue is local even if
data is remote
• Value– 30% to 50% of time
spent seeking or providing information
– Reduced time spent re-creating data
– Facilitates transfer of tasks between analysts
– Improved responsiveness to requests for information
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
First, populate the database
• The SDM solution must make it easy for analysts to store their data in the database– User friendliness is a must have
• The SDM can identify most metadata automatically – the key difference of SDM
• Tools to load data from legacy repositories also add value
Searchfor data
Populate Database
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2nd International SPDM Conference | 21-24 June 2015 | San Diego | California | USA
White Paper Presentation of ValueStorage and Retrieval of Data in SDM
Benefit Within a Process In another Process Sensitivity/Impact
Staff Time Reduced time storing key information Reduced time searching for data & information
Access to models and data enables & encourages reuse, “find, don’t re‐invent”
30% to 50% of time spent seeking/providing information, however not all information may be within SDM scope
Costs Data is stored once only, facilitating ILMData can be found easily so does not need to be recreated
Elimination of re‐work due to use of the wrong dataReduced training costs for new staff
Cost savings depend on % of rework, % of lost data.Rework is costly and can delay a program
Quality The right data is validated, accessible
Standard input data reduces uncertainty
Improved quality reducesneed for re‐runs
Innovation Data is immediately accessible even when the analyst is not (1)
Structured storage of input data for model setup (2)
1) Facilitates transfer of tasks between staff2) Enables large productivityimprovements
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Value of SDM - 2
• Productivity aids accessible in SDM– Templates– Best-practices– Examples of past work– Previous data sets
available for re-use– Meshes of parts from
other disciplines
• Value– Increased productivity
through consistent application of best available practice
– Reduced time to train new, re-deployed or contract staff
– Increased re-use of data, reduced re-creation
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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Value of SDM - 3
• Fast access to data– Materials, load-sets, of
known quality• Automation of data
manipulation tasks– Input model
documentation– Model assembly and
input deck creation
• Value– Reduced re-work since
data is quality assured– Reduced time spent on
data file manipulation, model documentation, model assembly –productivity gains of 35% achieved in automotive
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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Value of SDM - 4
• Single UI for all job submission
• File sets automatically routed to server, HPC
• Optimises resources including licences
• Prioritises urgent jobs, avoids rushed submissions to obtain licences
• Value– Reduced training costs– Reduced time assembling
sets on files on remote servers
– Avoids resource-related job failures and resulting loss of analyst productivity
– Avoids wasted HPC and analyst time from low quality, hasty, submissions that don’t deliver quality results
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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Value of SDM - 5
• Enables automation of post processing– Executed overnight
• Automates data collection and creation tasks– Results documentation and
storage to SDM, 100’s of results items per run
• Automates population of report template
• Value– Results are available at start of
business day– Time savings for analysts for
repetitive data extraction and storage
– Productivity gains of 35% achieved in automotive
– More what-if studies can be performed
– Multiple types of report can be produced with minimum effort
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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Productivity gains from model set‐up & documentation, automation of results extraction & evaluation, report generation
FMVSS 2100 Seatbelt anchorage Process in VDSS© 2015 theSDMconsultancy
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Value of SDM - 6
• Direct access to results facilitates engineering decisions-making
• Automated results/loads transfer to customer depts
• Trends & comparisons aid program management
• Global access enables – input from remote experts– transfer of work between teams – supervision of remote staff
• Value– Shorter program cycles– Better utilisation of scarce
resources– Reduced travel costs– Access to lower cost
resources
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Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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SDM supports multi-disciplinary working
• SDM provides a platform for inter-discipline communication
• SDM provides visibility of the pedigree of data, avoiding re-work due to wrong inputs
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Submit & Solve
ExtractResults
Create ReportM
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Assemble Next Steps
Searchfor data
Submit & Solve
ExtractResults
Create ReportM
esh
Assemble Next Steps
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• Early adopter organisations with:– Complex products (eg cars, planes,…)– Complex duty cycles (1000’s of load-cases)– Complex, multi-stage, multi-discipline simulations– Need for iteration to optimise performance– Regulatory requirements
reported an increases in analyst productivity of 35% or more from SDM, once fully deployed
• 35% productivity is worth ~ €45k per analyst per year depending on salaries, tax regimes etc
• Highly attractive, provided full cost per deployed seat is less than €20k
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Operational savings can justify SDM
• Automotive OEM– 250 analysts x 35% productivity gain x 130,000€pa = €11M per
annum once fully deployed– Hard savings fully justify an SDM investment– Investment cost is reduced by increasing availability of
configurable functionality from vendors
• Organisation with 50 Analysts, iterative processes– Potential hard savings of ~€2M per annum once fully deployed– SDM is becoming an attractive investment for such companies
• Savings calculation is dependent on local salaries, employer taxes on staff, need for simulation capacity,…
• This works best where the company needs extra capacity to extend its product range, etc
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ROI
• Return of a project also depends on:– Industry processes– Company situation and challenges– Solution Maturity
• Investment depends on:– Diversity of Processes– Solution Maturity– SDM Implementation Expertise Maturity (IT
does matter)
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ENTERPRISE BUSINESS VALUE
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Enterprise Business Value
• The total value of SPDM to an enterprise is potentially much larger than operational savings
• The value obtainable depends on the industry, the organisation and the current business challenges
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Cost Avoidance 1• A further benefit of increasing analyst
productivity is the avoidance of– Recruitment & relocation costs– Training costs, both trainee and trainer
to achieve higher engineering throughput• SDM is easier to justify for new analysis
activities where neither processes nor trained staff are available– Airbus: simulation of high-lift test program– Ford: Roll-Over testing implementation & roll
out, claimed 50% reduction in training costs © 2015 theSDMconsultancy
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Virtual Testing at Airbus
• New application area for simulation and SDM
• High lift system must pass 2000 different tests, ~10 evaluations per test
• Virtual testing will contribute to certification so data integrity and audit-ability is vital
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Cost Avoidance 2
• Effective remote working can avoid costs– Travel and accommodation costs– Extra costs of supervision of remote staff– Re-location costs– Redundancy, recruitment and training costs
as well as increasing staff utilisation• Effective remote working can also enable
offshoring to cope with demand peaks as well as ongoing analysis needs
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Cost Reductions• The deployment of a global SDM solution
with centralised computing can lead to– IT hardware cost reductions thru consolidation – Software licence savings thru better utilisation– IT support cost reductions
• Increased simulation capacity, through productivity or democratisation, can reduce physical testing costs– Digital experimentation instead of physical
experimentation– Physical testing retained for regulatory compliance
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SPDM at GKN Driveline
Minter,Steve Valine,Glenn Simulation Knowledge Management in GKN Driveline NAFEMS Seminar: „Simulation Data Management - Integration into the Product Development Process“ March 18 - 19, 2009 Wiesbaden, Germany
Cut proposal time from weeks to daysEmpower designers to simulate with proven proceduresCaptures knowledge: 11 global engineering centersAvailable 24x7, single global systemJustified by reducing physical testing
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Program Delivery
• Increased simulation early in the development cycle:– Increases early maturity– Reduces Program cost and risk– Reduces the risk of iterations in hardware
Courtesy of CIMData
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Rolls Royce Value Opportunities• Physical testing costs €millions• Continued development after product release
requires high cost engineering changes• Increased up-front simulation is the key
Development Budgets: ~€ 1 BillionG Harlin SPDM conference 2013, S Weeks CRESCENDO conference 2012
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• 280 users running up to 2500 Simulations per day.• Users from 4 continents working with the same data sets. • Number of Engineers didn‘t grow over the last 4 years but the
number development projects has doubled.• The planned increase of car project can be managed without
increasing personnel resources
Skriptlibrary Skriptlibrary Report TemplatesHPC Interface
Configuration Assembly Solve Post process Reporting
~20000coresSpread over
Europe
M Hertlein 2013 © 2015 theSDMconsultancy
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Mapping Fields of Forming Results onto Crash Structures(Impossible by hand)
Pre-processorBatch mode
Variable Sheet thickness and tensions from forming process applied to crash
structure.
M Hertlein 2013 © 2015 theSDMconsultancy
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SDM for WIP
• SDM enables the IP of WIP to be retained as metadata & viewables
• Whilst deleting the bulk data
S Schmidt Simulia 2010© 2015 theSDMconsultancy
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CONCLUSION
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Searchfor data
Set‐up Model
Submit & Solve
Extract & Post‐Process
Create Report
Submit & Solve
Quality & Traceability
IP & Knowledge Base
SDM is a specific xDM data management technology that can be deployed to accelerate processes,
enable global simulation teams, ensure quality & traceability,
capture IP and build a Knowledge Base© 2015 theSDMconsultancy
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SDM WG deployment workshops
• 7K Practical Deployment of Expert-Developed Simulation Processes to Non-Experts– Use of ‘simulation templates’ of prescribed scope,
developed and maintained by Expert Analysts for use by Non-Experts across the global organisation.
– GKN Driveline, Comet Solutions, Xogeny
• 8K From Industrial Requirements to Deployed SPDM Solutions and Beyond– Industrial Practitioners present their Project Experience– GKN, Airbus, Embraer, Procter & Gamble– Project Methodology, Governance, Lessons Learnt
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• Financial benefits & investment costs are strongly influenced by:– Industry– Country, employee tax regimes– Products developed– Company situation and challenges– Simulation types and processes– Phase of product lifecycle for SDM– Maturity of specific solutions appropriate to
specific challenges
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SPDM Value Assessment
• An SDM Value Assessment is the best route to identify and quantify opportunities for Business Value from SDM
• Extends the approach of the Business Value White Paper to the challenges of a specific organisation
• Captures strategic and tactical opportunities to improve engineering performance
• Engages with analysts and managers to understand operational challenges
• Identifies and quantifies specific value obtainable from SPDM and next steps
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Q&A
Thank you for your [email protected]+44 7712 527512
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