advancing the product development process, from - msc software
TRANSCRIPT
Advancing the Product Development
ProcessFrom Individual Heroics to
Enterprise-Wide Collaboration
Darryl PieningMSC Software Corporation
10/18/2004
Agenda
• PDMA Foundation CPAS Study• Select CMMI Process Areas• Virtual Product Development
Maturity Model• Latest Appraisal Data – Auto, Aero• Aero Flight Controls Amplification• Conference Resources
Overview
Data What How
PDMA CPAS Study
CMMI Processes
VPD Maturity Model
How
What
PDMA Foundation
For further information, or to purchase the full report, visit:
http://www.pdma.org
PDMA Foundation
For further information, or to purchase the full report, visit:
http://www.pdma.org
RD TS PI
VALVER
MA PPQA CM DAR
REQM
IPM
RSKMQPM
ISM IT
CustomerCustomer
- Engineering PAs
- Support PAs
- Project Mgt PAs
CMMI
RD TS PI
VALVER
MA PPQA CM DAR
REQM
IPM
RSKMQPM
ISM IT
CustomerCustomer
- Process/Data
- Process/People
- Process/Technology
How
What
CMMI
Driving Factors
• As Virtual Product Development is becoming mainstream …–companies are looking to rate their
processes against industry leaders– companies are looking to apply tools
for quality control and continuous improvement
– companies are looking for the “how” as well as the “what”
HowWhat
Reference: Carnegie Mellon CMM
Trouble-Shooting
Product Definition
Design Validation
VPD Positioning and Deployment VPD Positioning and Deployment Through a VPD Maturity ModelThrough a VPD Maturity Model
http://www.sei.cmu.edu/cmm/cmm.sum.html
VPDMM BreakdownVPDMM Breakdown
People Data
Processes ToolsVP Usage
Timing
Scope
SystemsEngineering
Documentation
Selection
Methodology
Approach
Complexity
Storage
Accuracy
Conventions
Accessibility
Config. Mgmt.
Training
Communication
Roles
What
Data Analysis Process to Derive Actions
Evaluate
Compress Confirm
Core StatementsCommentary
Adjust
Questionnaire
ActionsHow
Where are the biases?
Most Important Gaps (ALL)Category
MeasureCAE CAD PDM
Hit Rate 29% 22% 27%Avg Gap 2.14 1.93 2.03Profile 37% 28% 35%VPD Maturity ModelLevel 2.4 2.7 2.9
What
Where are the gaps?Industry ALL (Entire Database)
Rank Topic Hits
1 Lessons learned 243
2 Knowledge capture & reuse 231
3 Data integrity 224
4 Robust design 212
5 Data flow 204
6 Physical/Virtual tool int. 194
7 PDM/Enterprise systems int. 194
8 Quality management 191
9 Validation process 180
10 Risk management 173
Supply chain exchange
Knowledge capture & reuse
Design/Engineering tool int.
CAD
CollaborationData integrity3
WorkflowKnowledge capture & reuse2
PDM/Enterprise systems int.Lessons learned1
PDMCAERank
134Companies
526Surveys
What
Where are the gaps?Industry Automotive
Rank Topic Hits
1 Lessons learned 156
2 Robust design 139
3 Knowledge capture & reuse 135
4 Data integrity 122
5 Physical/Virtual tool int. 117
6 Quality management 110
7 PDM/Enterprise systems int. 109
8 Data flow 107
9 Validation process 107
10 Risk management 104
Design/Engineering team int.
Knowledge capture & reuse
Supply chain exchange
CAD
Change managementKnowledge capture & reuse3
WorkflowRobust design2
PDM/Enterprise systems int.Lessons learned1
PDMCAERank
60Companies
292Surveys
What
Where are the gaps?Industry Aerospace
Rank Topic Hits
1 Data integrity 49
2 Data flow 43
3 Lessons learned 38
4 Knowledge capture & reuse 37
5 PDM/Enterprise systems int. 37
6 Design/Engineering tool int. 35
7 Internal data 33
8 Supply chain exchange 32
9 Collaboration 32
10 Quality management 31
Knowledge capture & reuse
Supply chain exchange
Design/Engineering tool int.
CAD
CollaborationLessons learned3
Internal dataData flow2
PDM/Enterprise systems int.Data integrity1
PDMCAERank
49Companies
92Surveys
What
Summary
COMMON | Auto | Aero
4 Quality management
10 Data flow
11 Data integrity
12 Lessons learned
13 Knowledge capture & reuse
54 PDM/Enterprise systems integration
UNIQUE
• VPD should be quality focused• Capture and reuse of virtual prototype
data is still problematic• Better virtual prototype data must be
produced to make product design & release decisions
• Infrastructure improvements are required
• Desire to use virtual prototyping as part of an overall risk management strategy
• Need to further simulate product usage uncertainties and manufacturing process variations
• More tool integration to support better physical and virtual tests
• Improved model validation - build long term confidence
Au
to
5 Risk management
9 Robust design
16 Physical/Virtual tool integration
25 Validation process
Summary
COMMON | Aero | Auto
4 Quality management
10 Data flow
11 Data integrity
12 Lessons learned
13 Knowledge capture & reuse
54 PDM/Enterprise systems integration
UNIQUE
• Develop plug-and-play component and subsystem models to optimize system performance
• More tool integration to support better collaboration between designers and analysts
• Continue transition from paper based processes to full use of electronic media
• Enhance communications and bi-directional product data sharing with customers and suppliers
Aero
2 Supply chain exchange
31 Design/Engineering tool int.
45 Internal data
50 Collaboration
• VPD should be quality focused• Capture and reuse of virtual prototype
data is still problematic• Better virtual prototype data must be
produced to make product design & release decisions
• Infrastructure improvements are required
Initial
Level 1
Departmental
Individual
Data Scarce
Few defined processes
CAE Component LevelSimulation
Troubleshooting
Flight Controls Flight Controls –– Level 1Level 1
Attributes
Process
People
Data
Iron Bird
Mechanical Engr.Mechanical Engr.
Hydraulic Engr.Hydraulic Engr.
Controls EngrControls Engr
Paper & spreadsheets
CAD kinematics
Systems
Structures Engr.Structures Engr.
FEA
Suppliers
mechanism
hydrauliccontroller
control laws
loads
Design Engr.Design Engr.
CAD
How
CAE
Divisional
Isolated Team
Data Planned
Track basic requirements
Repeatable
Level 2
Subsystem Level Sim. / CAD Integration
Test / CAE Correlation& Validation
Attributes
Process
People
Data
Flight Controls Flight Controls –– Level 2Level 2
Iron Bird
Controls Dept.Controls Dept.
Systems
Structures Dept.Structures Dept.
FEA
Suppliers
control laws
loads
Design Dept.Design Dept.
CAD
Aircraft Systems Group
mechanismmechanism
actuationactuation
Systems
MBD
Subsystem Simulation
electro/mech/hydraulic actuation
CurrentState
How
CAE
Attributes
Process
People
Data
Enterprise
Product Team
Defined Data Process
Processes well documented
Defined
Level 3
System Attribute Sim. / Discipline Assessments
Documented Best PracticesTemplate CAE process
Enterprise
Product Team
Defined Data Process
Processes well documented
Enterprise
Product Team
Defined Data Process
Processes well documented
Flight Controls Flight Controls –– Level 3Level 3
Iron Bird
Suppliers
Load
s ki
nem
atic
s fle
xibi
lity
functional controlsintegration
Hyd
r. &
con
trol
Tem
p lat
es
functional model
parameters
functional modelparameters
Vertical App
FEA
MBD
Systems
CAD / FEA
SupportsGoals
How
Defined Data Process
CAE
Supply Chain
Platform Team
Standardized Data Methods
Process measured and controlled
Managed
Level 4
Multi-disciplinary Assess /Sim. Process Capture
Enforced Best PracticeManaged Data & Models
Attributes
Process
People
Data Defined Data ProcessDefined Data Process
Flight Controls Flight Controls –– Level 4Level 4
Suppliers
Flutter & VibrationPackaging
Thermal
Performance
Flight Controls
Forming
Loads &Damage
Crash
Flight ControlsPortal
Aircraft Design Environment
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hyd
r. &
con
trol
AD
AM
S/A
ircra
ft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hyd
r. &
con
trol
AD
AM
S/A
ircra
ft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hydr
. & c
ontr
ol
AD
AM
S/A
ircra
ft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hydr
. & c
ontr
ol
AD
AM
S/A
ircra
ft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
How
CAE
Attributes
Process
People
Data
Flight Controls Flight Controls –– Level 5Level 5
Global Team
Platform, Supplier
Innovation-driven Insight
Continuous process improvement
Optimized
Level 5
Robust Design /Stochastics / Collaboration
Project Level /Knowledge Reuse
Suppliers
Flutter & VibrationFlutter & VibrationPackagingPackaging
ThermalThermal
PerformancePerformance
Flight Controls
FormingForming
Loads &DamageLoads &Damage
CrashCrash
Aircraft Design Environment
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hyd
r. &
cont
rol
AD
AM
S/A
ircr
aft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
Defined Data ProcessDefined Data ProcessDefined Data Process
Load
s ki
nem
atic
s fle
xibi
lity
Hyd
r. &
cont
rol
AD
AM
S/A
ircr
aft
FlightLoads
NASTRAN
ADAMS
EASY5
Virtual Iron Bird
SimManager
• Continuous Process Improvement• Project knowledge capture• System level Robust Design• Virtual Certification
How
Where are the leaders?
Rest Best
What
Where are your gaps?
What
Conference Resources
• “Predicting and Measuring the Value in Process Change”; Tuesday, 10/19, Management Track
• Technical Resource Center–VPD Environments Lab–VPDMM 1-on-1 Discussions–https://www.engineering-e.com/vpd
Thank You!