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Tools & Trends inTools & Trends inProduct DevelopmentProduct Development
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Percent of Current Sales ContributedPercent of Current Sales Contributed
by New Productsby New Products
0%
10%
20%
30%
40%
50%
60%
70%
Bottom Third Middle Third Top Third Most Successful
High Tech All Firms Low Tech
Self Reported Standing in Industry
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Decay CurveDecay Curve
0
10
20
30
40
50
60
70
80
90
100
Ideas Tested Launched Success
1990 1995
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Design ProcessesDesign Processes
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NPD Processes in Use in the USNPD Processes in Use in the US
None
Informal
Stage Gate
Facilitated Stage Gate
Functional, sequential
3rd Gen. Stage Gate
Other
0% 5% 10% 15% 20% 25% 30%
1
STAGE GATE PROCESSES 56 %
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Process TasksProcess Tasks ……
►► Product Line PlanningProduct Line Planning
Portfolio, CompetitionPortfolio, Competition
►► Strategy DevelopmentStrategy Development
Target Market, Needs, AttractivenessTarget Market, Needs, Attractiveness►► Idea/Concept GenerationIdea/Concept Generation
Opportunities and SolutionsOpportunities and Solutions►► Idea ScreeningIdea Screening
Sort, Rank, EliminateSort, Rank, Eliminate
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…… Process TasksProcess Tasks
►► Business AnalysisBusiness Analysis
Business Case, Development ContractBusiness Case, Development Contract►► DevelopmentDevelopment
Convert Concept into Working ProductConvert Concept into Working Product
►► Test & ValidationTest & Validation Product Use, MarketProduct Use, Market
►► Manufacturing DevelopmentManufacturing Development Developing and Piloting Manufacturing ProcessDeveloping and Piloting Manufacturing Process
►► CommercializationCommercialization Launch of FullLaunch of Full--Scale Production and SalesScale Production and Sales
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Tasks Included in ProcessesTasks Included in Processes
Product Line Planning
Project Strategy
Screening
Business Analysis
Manufacturing Development
Commercilization
Idea Generation
Development
Test & Validation
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
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Projects Completing TasksProjects Completing Tasks
Product Line Planning
Project Strategy
Screening
Business Analysis
Manufacturing Development
Commercialization
Idea Generat ion
Development
Test & Validation
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
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Average Time Spent on Tasks Average Time Spent on Tasks
Commercialization
Manufacturing Development
Business Analysis
Screening
Project Strategy
Product Line Planning
Test & Validation
Development
Idea Generation
0 5 10 15 20 25 30 35
weeks
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Percentage of Projects UsingPercentage of Projects Using
Multifunctional TeamsMultifunctional Teams
Minor Improvement
Repositioning
New-to-Firm
New-to-World
Cost Reduction
Major Revision
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
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ToolsTools
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Perceived Importance and Use ofPerceived Importance and Use of
Marketing Research ToolsMarketing Research Tools
0
1
2
3
4
5
Voice of Customer
Customer Site Visits
Concept Tests
Focus Groups
Beta Testing
Conjoint Analysis
Test Markets
Pre-Test Markets
Importance
Degree of Use
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Perceived Importance and Use ofPerceived Importance and Use of
Engineering ToolsEngineering Tools
0
1
2
3
4
5
Rapid Prototyping
Concurrent Engineering
Design for Manufacturing
CAD
CAEValue Analysis
FMEA
Perfomance Simulation
Virtual Design
Importance
Degree of Use
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Perceived Importance and Use ofPerceived Importance and Use of
Organization ToolsOrganization Tools
0
1
2
3
4
5
CPM PERT GANNT
Champions
Process Owner
Team Building Drill
Heavyweight Manager
Self Directed Teams
Matrix Organization
QFD
Colocated Teams
Leaderless Teams
Importance
Degree of Use
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Perceived Importance: Top 5Perceived Importance: Top 5
►► Voice of the Customer (4.2) Voice of the Customer (4.2)
►► Customer Site Visits (3.9)Customer Site Visits (3.9)►► Rapid Prototyping (3.9)Rapid Prototyping (3.9)
►► Project Scheduling Tools (3.9)Project Scheduling Tools (3.9)►► Product Champions (3.9)Product Champions (3.9)
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Frequency of Use: Top 5Frequency of Use: Top 5
►► Project Scheduling Tools (3.7)Project Scheduling Tools (3.7)
►► Voice of Customer (3.6) Voice of Customer (3.6)►► Customer Site Visits (3.5)Customer Site Visits (3.5)
►► ComputerComputer-- Aided Design (3.4) Aided Design (3.4)►► Matrix Organizations (3.2)Matrix Organizations (3.2)
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PerformancePerformance
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Past and Future ImpactPast and Future Impact
of New Productsof New Products
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
New Product Sales New Product Profits
Past 5 Years
Next 5 Years
P e r c e n t o f
T o t a l
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Product SuccessProduct Success
►►Successful Products (subjective)Successful Products (subjective) 55.9 %55.9 %
►► Profitable 51.7 %Profitable 51.7 %
►► Still on market after 5 years 74.1 %Still on market after 5 years 74.1 %
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Performance CriteriaPerformance Criteria
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
New To World
New Product Line
Next Generation
Incremenatal Improvement
Repositioning
Customer Acceptance Financial Performance Technical Performance
A L hA L th
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Average Length Average Length
of Development Projectsof Development Projects
0 5 10 15 20 25 30 35 40 45
New To World
New Product Line
Next Generation
Incremenatal
Improvement
WEEKS
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Further ReadingFurther Reading
►► RosenauRosenau et al.et al. “ “The PDMA Handbook ofThe PDMA Handbook of
New Product DevelopmentNew Product Development” ” Data Source for preceding slidesData Source for preceding slides
►► Cooper, Robert G.Cooper, Robert G. “ “Winning at NewWinning at New
ProductsProducts” ”
StageStage--Gate ProcessesGate Processes
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Tools For Innovation:Tools For Innovation:
The Design StructureThe Design StructureMatrixMatrix
Thomas A. RoemerThomas A. Roemer
Spring 06, PD&DSpring 06, PD&D
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OutlineOutline
►► OverviewOverview Traditional Project Management Tools and Product DevelopmentTraditional Project Management Tools and Product Development
►► Design Structure Matrix (DSM) BasicsDesign Structure Matrix (DSM) Basics How to createHow to create
ClassificationClassification
►► The Iteration Problem:The Iteration Problem: Increasing Development SpeedIncreasing Development Speed
Sequencing, Partitioning and SimulationSequencing, Partitioning and Simulation
►► The Integration Problem:The Integration Problem: DSM ClusteringDSM Clustering
Organizational Structures & Product ArchitecturesOrganizational Structures & Product Architectures
Classical Project ManagementClassical Project Management
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Classical Project ManagementClassical Project Management
ToolsTools
►►Gantt ChartsGantt Charts
►►GraphGraph--based: PERT, CPM, IDEFbased: PERT, CPM, IDEF
A c
t i v i
t y
Time
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CharacteristicsCharacteristics
►► Complex DepictionComplex Depiction
►►
Focus on Work FlowsFocus on Work Flows DSM focuses on Information FlowsDSM focuses on Information Flows
►► Ignore Iterations & Rework Ignore Iterations & Rework
Test results, Planned design reviews, Design mistakes,Test results, Planned design reviews, Design mistakes,Coupled nature of the processCoupled nature of the process
►► Decomposition & IntegrationDecomposition & Integration
Assume optimal Decomposition & Structure Assume optimal Decomposition & Structure Integration of Tasks not addressedIntegration of Tasks not addressed
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Design IterationDesign Iteration
►► Iteration: The repetition of tasks due to newIteration: The repetition of tasks due to newinformation.information. Changes in input information (upstream)Changes in input information (upstream)
Update of shared assumptions (concurrent)Update of shared assumptions (concurrent)
Discovery of errors (downstream)Discovery of errors (downstream)
►► Fundamental in Product developmentFundamental in Product development Often times hiddenOften times hidden
►► Understanding Iterations requiresUnderstanding Iterations requires Visibility of information flows Visibility of information flows
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A Graph and its DSM A Graph and its DSM
A C
D
B
H
F
G
E
I
A B C D E F G H I
A A X
B B X
C X C
D D X
E E
F X F X
G G
H X X H
I X I
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Creating a DSMCreating a DSM
►► Design manualsDesign manuals
►►
Process sheetsProcess sheets►► Structured expert interviewsStructured expert interviews
Interview engineers and managersInterview engineers and managers
Determine list of tasks or parametersDetermine list of tasks or parameters Ask about inputs, outputs, strengths of interaction, etc Ask about inputs, outputs, strengths of interaction, etc
Enter marks in matrixEnter marks in matrix
Check with engineers and managersCheck with engineers and managers►► QuestionnairesQuestionnaires
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Four Types ofFour Types of DSMsDSMs
Iteration
Activity based DSM
Parameter based DSMSequencing
Partitioning
Simulation
Integration
Team based DSM
Product Architecture DSMClustering
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Iteration Focused ToolsIteration Focused Tools
Concepts, Examples, SolutionConcepts, Examples, Solution
Approaches Approaches
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Sequencing Tasks in ProjectsSequencing Tasks in Projects
Possible Relationships between Tasks
A
B
A
B
A B
Dependent(Series)
Independent(Parallel)
Interdependent(Coupled)
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DSM:DSM: Information Exchange ModelInformation Exchange Model
Interpretation:Interpretation:
►► Rows: Required InformationRows: Required Information D needs input from E, F & L.D needs input from E, F & L.
►► Columns: Provided InformationColumns: Provided Information
B transfers info to C,F,G,J & K.B transfers info to C,F,G,J & K.
Note:Note:
►► Information flows are easier toInformation flows are easier to
capture than work flows.capture than work flows.
►► Inputs are easier to capture thanInputs are easier to capture thanoutputs.outputs.
C
D
A
B
G
H
E
F
K
L
I
J
C D A B G HE F K LI J•
•
•
•
•
•
•
•
•
•
•
•
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DSM:DSM: Partitioned or SequencedPartitioned or Sequenced
C
D
A
B
G
H
E
F
KL
I
J
C D AB GHEFK L IJ
Series
Parallel
Coupled
•
•
•
••
•
•
••
•
•
•
Task
Sequence
l h
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Sequencing AlgorithmSequencing Algorithm
►► Step 1: Schedule tasks with empty rows firstStep 1: Schedule tasks with empty rows first
►► Step 2: Delete the row and column for that task Step 2: Delete the row and column for that task
►► Step 3: Repeat (Go to step 1)Step 3: Repeat (Go to step 1)
►► Step 4: Schedule tasks with empty columns lastStep 4: Schedule tasks with empty columns last
►►
Step 5: Delete the row and column for that task Step 5: Delete the row and column for that task ►► Step 6: Repeat (Go to step 4)Step 6: Repeat (Go to step 4)
►► Step 7: All the tasks that are left unscheduled are coupled.Step 7: All the tasks that are left unscheduled are coupled.
Group them into blocks around the diagonalGroup them into blocks around the diagonal
E l B k S D i
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Example: Brake System DesignExample: Brake System Design
1 2 3 4 5 6 7 8 9 10 11 12 13
Customer_Requirements 1 1
Wheel Torque 2 2 X
Pedal Mech. Advantage 3 X 3 X X X X X
System_Level_Parameters 4 X 4
Rotor Diameter 5 X X X X 5 X X X X X ABS Modular Display 6 X 6 X
Front_Lining_Coef._of_Friction 7 X X X 7 X X X
Piston-Rear Size 8 X X 8 X
Caliper Compliance 9 X X 9 X X
Piston- Front Size 10 X X X 10
Rear Lining Coef of Friction 11 X X X X X 11 X
Booster - Max. Stroke 12 12 X
Booster Reaction Ratio 13 X X X X X X X X X X 13
i i d S k iP titi d DSM B k D i
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Partitioned DSM: Brake DesignPartitioned DSM: Brake Design
1 4 2 10 8 3 11 7 13 5 12 9 6
Customer_Requirements 1 1
System_Level_Parameters 4 X 4Wheel Torque 2 X 2
Piston- Front Size 10 X X 10 X
Piston-Rear Size 8 X X X 8
Pedal Mech. Advantage 3 X X X X 3 X XRear Lining Coef of Friction 11 X X X X 11 X X
Front_Lining_Coef._of_Friction 7 X X X X 7 X X
Booster Reaction Ratio 13 X X X X X X X 13 X
Rotor Diameter 5 X X X X X X X X X 5Booster - Max. Stroke 12 X 12
Caliper Compliance 9 X X X X 9
ABS Modular Display 6 X 6
Semiconductor Design ExampleSemiconductor Design Example
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S E E S D M F D C S W H W D D B F D L I R D F V R C C D D G V R S C D P F S F V A E C D D D L C C L I M D T C C F V P D
et customer target • x x ³
st mate sa es vo umes x • x x ³
sta s pr c ng rect on x • x ³
c e u e pro ect t me ne • x
eve opment met o s x • x x x x
acro targets constra nts x x • x x x x
nanc a ana ys s x x x x x •eve op program map x • x
reate n t a matr x x x x x •et tec n ca requ rements x x x x • x
r te customer spec cat on x x x x x • ³ ³ ³ ³ ³ ³ ³ ³
g - eve mo e ng x x x x • x x x
r te target spec cat on x x x x x x x x x • x x
eve op test p an x x x x x • x
eve op va at on p an x x x x •u ase prototype x x x x x x •
unct ona mo e ng x x x x x • x x x x x x x x ³ ³ ³ ³ ³ ³ ³ ³ ³ ³eve op pro uct mo u es x x x x x x x x x • ³
ay out ntegrat on x x x x x x x x x •
ntegrat on mo e ng x x x x x x x • x x x
an om test ng x x • x x x
eve op test parameters x x x x x x x • x x x
na ze sc emat cs x x x x x • x x ³ ³ ³ ³ ³
a at on s mu at on x x x x x x x • x x
e a ty mo e ng x x x x x • x
omp ete pro uct ayout x x x x x • x x
ont nu ty ver cat on x x x x x x •
es gn ru e c ec x x x •es gn pac age x x x x x
•³ ³ ³ ³ ³ ³ ³
enerate mas s x x x x • x ³
er y mas s n a x x x •
un wa ers x • x ³
ort wa ers x •reate test programs x •e ug pro ucts x x x x x • ³ ³ ³ ³ ³ ³ ³
ac age pro ucts x x x •unct ona ty test ng x x x •en samp es to customers x x x x •ee ac rom customers x •er y samp e unct ona ty x • pprove pac age pro ucts x x x x •
nv ronmenta va at on x x x x •omp ete pro uct va at on x x x x x •eve op tec . pu cat ons x x • x x
eve op serv ce courses x x • x
eterm ne mar et ng name x x x x x • x
cens ng strategy x x x •
reate emonstrat on x x x x x x •on rm qua ty goa s x x x x x •
e test ng x x x • x x
n ant morta ty test ng x x x x • x
g. process sta zat on x x x • ³ ³
eve op e support p an x x •
erma test ng x x x •on rm process stan ar s x • x x
on rm pac age stan ar s x x x x x • x
na cert cat on x x x x x x x x x x x •o ume pro uct on x x x • x
repare str ut on networ x x x x x x x x •e ver pro uct to customers x x x x x x x x x •
Concurrent Activity Blocks
Potential Iterative Loops
Generational Learning Feedback
Sequential Activities
Parallel Activity Blocks
T k S i E lT k S i E l
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Task Sequencing ExampleTask Sequencing Example
Space Shuttle Main Engine
E i C tE i C t
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Engine ComponentsEngine Components
Dependency Relations inDependency Relations in
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Dependency Relations inp y
Conceptual Design Block Conceptual Design Block ACTIVITIES 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
S S P En gi ne B a la nc e 1 4 0.15 0.1 0.1
CMT Make Pre lim ina ry Mate r ia l Selec t ions 2 1 0.1 0.1 0.1 0.1 0.1
CST Assess Pump Housing 3 8 1
Design Pump Housing 4 0.5 0.2 4 1 1 0.1 1 0.1
CST Assess Turb ine Housing 5 4 1
CST Compare Design Annulus Area… 6 1 1
CAX Det ermine Opt imum Turbine St aging 7 1 0.1 0.1 6 0.1 1 0.2 0.1
CST Compare Design Pi tch l ine Veloci t ies… 8 1
CST Compare Design Impel ler T ip Speed… 9 1 1
CHX Det er mine Pumping Component s 10 1 0.1 0.2 0.1 6 0.2
CDE Design Pumping Element s 11 0.5 1 8 0.3 0.1
CST Evaluat e Rot or Siz ing 12 1 1 1
CDE Incorporate Bearing Dimensions 13 2 1
CDE Design Rot or 14 0.2 1 1 2 1 0.1 1 0.2 0.1
CBR Det ermine Bear ing Geomet r y 15 0.1 1 0.2 4 1 0.1 0.1
CDE Posi t ion Bear ings and Selec t ion 16 0.2 1 1 0.2 2
CDE Design Turbine 17 0.2 1 0.3 0.1 4
CDE Int egr at e Rot or and S t r uc t ure Layout 18 1 1 8 0.1 1
CDE Incorporate Seal Dimensions 19 1 1
CSL Def ine Seal Syst em 20 0.2 0.1 1 1 0.3 4
CSL Def ine Indiv idual Seal ing Element s 21 0.1 0.2 1 2 0.1 0.1
CDE Develop Thrust Balanc e 22 0.2 1 6
CRD Bui ld Fini t e Element Model 23 0.1 0.3 1 1
CRD Def ine Linear Rot ordynamic Behav ior 24 1 1 1 1 1 2
CRD Evaluat e Design 25 1 1
CDE Analy ze Weight 26 1 0.2 4
Design Turbine Housing 27 0.5 0.1 1 1 0.2 1 0.1 4
Bl k D itiBlock Decomposition
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Block DecompositionBlock Decomposition
∑∈ Aij
ijijij ynamin
∑=
∀= M
m
im i x
1
,1
mC x N
i
im ,1
∀≤∑=
m ji y x x M
mh
ij jhim ,, ,01
∀≤−− ∑+=
{ } m ji y x ijim ,, ,1,0, ∀∈
s.t.
i,j = index for activities, i,j = 1,2,…, N ;
m = index for stages, m = 1,2,…, M ;
A = the set of directed arcs in the design graph;
aij = the level of dependency of activity i on j
⎩⎨⎧ =
=otherwise1
1if number)large(a aW n ijij
⎩⎨⎧
=otherwise0
stagetoassigned isactivityif 1 mi xim
⎩⎨⎧
= otherwise1
stages between backfeed aisarcif 0 ij yij
Resulting Structure forResulting Structure for
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gg
Conceptual Design Block Conceptual Design Block ACTIVITIES 1 10 9 2 7 8 17 11 12 6 16 20 21 19 15 13 4 3 27 14 18 22 5 23 24 25 26
SSP Engine Balance 1 4 0.1 0.15 0.1
CHX Determine Pumping Components 10 1 6 0.1 0.1 0.2 0.2
ST Compar e Desi gn Impel ler Ti p Speed… 9 1 1
T Make Preliminary Mat erial Select ions 2 0.1 1 0.1 0.1 0.1 0.1
AX Deter mine Opt imum Turbi ne St aging 7 1 1 0.1 6 0.1 0.2 0.1 0.1
ST Compare Design Pitchline Velocities… 8 1
CDE Design Turbine 17 0.2 1 4 0.3 0.1
CDE Design Pumping Elements 11 1 0.5 8 0.3 0.1
CST Evaluate Rotor Sizing 12 1 1 1
CST Compare Design Annulus Area… 6 1 1
CDE Posit ion Bearings and Select ion 16 1 0.2 1 2 0.2
CSL Def ine Seal System 20 1 0.2 1 4 0.3 0.1
CSL Def ine Individual Sealing Elements 21 0.1 1 2 0.1 0.2 0.1
CDE Incorporate Seal Dimensions 19 1 1
CBR Determine Bearing Geomet ry 15 1 1 4 0.1 0.1 0.2 0.1
CDE Incorporate Bearing Dimensions 13 1 2
Design Pump Housing 4 1 0.5 1 1 4 0.2 0.1 0.1
CST Assess Pump Housing 3 1 8
Design Turbine Housing 27 0.5 1 1 1 4 0.2 0.1 0.1
CDE Design Rotor 14 0.2 1 1 1 1 2 0.1 0.2 0.1
DE Integrate Rotor and St ructure Layout 18 1 1 1 8 0.1
CDE Develop Thrust Balance 22 0.2 1 6
CST Assess Turbine Housing 5 1 4
CRD Build Finit e Element Model 23 0.1 1 0.3 1
D Def ine Linear Rotordynamic Behavior 24 1 1 1 1 1 2
CRD Evaluate Design 25 1 1
CDE Analyze Weight 26 1 0.2 4
STCSTC’’ss Existing ProcessExisting Process
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STCSTC’ ss Existing ProcessExisting Process
Conceptual
Design
Negotiation
Manufacturing &
Testing
Detail Design
Program Office Project Team
Functional Departments
Proposed ProcessProposed Process
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Proposed ProcessProposed Process
Conceptual
Design
Negotiation
Manufacturing &
Testing
Detail Design
Functional DepartmentsProgram Office
Core Design Team
Pilot Project PerformancePilot Project Performance
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Pilot Project PerformancePilot Project Performance
0 10 20 30 40 50 60 70 80 90 100 110
9d
20 days 25 days 40 days
39 days 68 days
27% Savings
Detail Design Fabrication & Test
Conceptual Design
Project Completion Time [days]
As-Is
To-Be
DSM SimulationDSM Simulation
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DSM SimulationDSM SimulationTask A
Task B
Task C
X
X
X
►► Task A requires input from task CTask A requires input from task C►► Perform A by assuming a value for CPerform A by assuming a value for C’ ’ s outputs output
►►
Deliver A Deliver A ’ ’ s output to Bs output to B►► Deliver BDeliver B’ ’ s output to Cs output to C
►► Feed CFeed C’ ’ s output back to As output back to A
Check initial assumption (made by A)Check initial assumption (made by A)
►► Update assumption and repeat task A.Update assumption and repeat task A.
Simulating ReworkSimulating Rework
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Simulating Rework Simulating Rework
Task ATask B
Task C
X
X
R
R is the probability that Task A will be repeated
once task C has finished its work.
R = 0.0 : There is 0 chance that A will berepeated based on results of task C.
R = 1.0 : There is 100% probability that A will
be repeated based on results of task C.
Simulating 2Simulating 2ndnd Order ReworkOrder Rework
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Simulating 2Simulating 2ndnd Order Rework Order Rework
Task A
Task B
Task C
R2
X
X
Second Order rework is the rework associated with forward
information flows that is triggered by feedback marks.
First order rework: Output of task C causes task A to do some rework
2nd order rework: Consequently there is a chance tasks depending on
A (e.g. task B) will also be repeated.
Simulating Rework ImpactSimulating Rework Impact
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Simulating Rework ImpactSimulating Rework Impact
Task A
Task B
Task C
X
X
I
I = 0.0 : If task A is reworked due to task C results,
then 0% of task A’s initial duration will be repeated
I = 1.0 : If task A is reworked due to task C results,
then 100% of task A’s initial duration will be
repeated
Simulation ResultsSimulation Results
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Simulation ResultsSimulation Results
►► DSM contains reworkDSM contains reworkprobabilities andprobabilities and
impactsimpacts
►► Cost and time add upCost and time add up
►► Many runs produce aMany runs produce a
distribution of total timedistribution of total time
and costand cost►► Different taskDifferent task
sequences can be triedsequences can be tried120 126 132 138 144 150 156 162 168 174 180
Schedule (days)
0.0
0.2
0.4
0.6
0.8
1.0
Target
Source: “Modeling and Analyzing Complex System Development Cost, Schedule, and Performance” Tyson R. Browning
PhD Thesis, MIT A&A Dept., Dec 99
.5
.5
.5 .5
.5 .5.5
.5
.5.5
Impact
.9
.9
.9 .9
.9 .9.9
.9.9.9
Rework
X
X
X X
X XX
X
XX
Information Flow
Gantt Chart with IterationGantt Chart with Iteration
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Gantt Chart with IterationGantt Chart with Iteration
2
3
45
6
7
8
9
1 0
1 11 2
1 3 14
1 4 13 13
1 5
1 6
1 7
0 2 0 4 0 6 0 8 0 1 0 0 1 2 0 1 4 0 1 6 0
Elap s e d T im e (Da ys )
A c t i v i t
►► Typical Gantt chart shows monotone progressTypical Gantt chart shows monotone progress
►► Actual project behavior includes tasks stopping, restarting, Actual project behavior includes tasks stopping, restarting,
repeating and impacting other tasksrepeating and impacting other tasks
Source: “Modeling and Analyzing Complex System Development Cost, Schedule,
and Performance” Tyson R. Browning PhD Thesis, MIT A&A Dept., Dec 99
Lessons Learned: IterationLessons Learned: Iteration
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Lessons Learned: IterationLessons Learned: Iteration
►► Development is inherently iterativeDevelopment is inherently iterative
►► Understanding of coupling is essentialUnderstanding of coupling is essential
►► Iterations improve quality but consumes timeIterations improve quality but consumes time
►► Iteration can be accelerated throughIteration can be accelerated through
Information technology (faster iterations)Information technology (faster iterations)
Coordination techniques (faster iterations)Coordination techniques (faster iterations)
Decreased coupling (fewer iterations)Decreased coupling (fewer iterations)
►► Two Types of IterationTwo Types of Iteration
Planned Iterations (getting it right the first time)Planned Iterations (getting it right the first time)
Unplanned iterations (fixing it when itUnplanned iterations (fixing it when it’ ’ s not right)s not right)
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Integration FocusedIntegration FocusedToolsTools
Concepts, Examples, SolutionConcepts, Examples, Solution
Approaches Approaches
Team SelectionTeam Selection
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Team SelectionTeam Selection
►► Team assignment is often opportunisticTeam assignment is often opportunistic
“ “We just grab whoever is available.We just grab whoever is available.” ”
►► Not easy to tell who should be on a teamNot easy to tell who should be on a team
►► Tradition groups people by functionTradition groups people by function
►► Info flow suggests different groupingsInfo flow suggests different groupings
►► Info gathered by asking people to record theirInfo gathered by asking people to record their
interaction frequency with othersinteraction frequency with others
Clustering a DSMClustering a DSM
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Clustering a DSMClustering a DSM
A B C D E F G A A
B B
C C
D D
E E
F F
G G
A F E D B C G A A
F F
E E
D D
B B
C C
G G
No Dependency Low Hi
Alternative Arrangement Alternative Arrangement
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Overlapped TeamsOverlapped Teams
A F E D B C G A A
F F
E E
D D
B B
C C
G G
A F E D B C G A A
F F
E ED D
B B
C C
G G
Low No Dependency Hi
GMGM’’ss PowertrainPowertrain DivisionDivision
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GMGM ss PowertrainPowertrain DivisionDivision
►► 22 Development Teams into four System Teams22 Development Teams into four System Teams Short block: block, crankshaft, pistons,Short block: block, crankshaft, pistons, connconn. rods,. rods,
flywheel, lubricationflywheel, lubrication Valve train: cylinder head, camshaft and valve Valve train: cylinder head, camshaft and valve
mechanism, water pump and coolingmechanism, water pump and cooling
Induction: intake manifold, accessory drive, air cleaner,Induction: intake manifold, accessory drive, air cleaner,throttle body, fuel systemthrottle body, fuel system
Emissions & electrical: Exhaust, EGR, EVAP, electricalEmissions & electrical: Exhaust, EGR, EVAP, electricalsystem, electronics, ignitionsystem, electronics, ignition
Existing PD System Teams
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A F G D E I B C J K P H N O Q L M R S T U V
Engine Block A A
Crankshaft F F
Flywheel G G
Pistons D D
Connecting Rods E E
Lubrication I I
Cylinder Heads B B
Camshaft/Valve Train C C
Water Pump/Cooling J J
Intake Manifold K K
Fuel System P P
Accessory Drive H H
Air Cleaner N N
A.I.R. O O
Throttle Body Q Q
Exhaust L L
E.G.R. M M
EVAP R
R
Ignition S S
E.C.M. T T
Electrical System U U
Engine Assembly V V
Level of Dependence
High Average Low
Team 1
Team 4
Team 3
Team 2
Proposed PD System TeamsC k h ft
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Crankshaft F F
Flywheel G G
Connecting Rods E E
Pistons D D
Lubrication I I
Engine Block A A
Camshaft/Valve Train C C
Cylinder Heads B1 B1
Intake Manifold K1 K1
Water Pump/Cooling J J
Fuel System P P
Air Cleaner N N
Throttle Body Q Q
EVAP R R
Cylinder Heads B2 B2
Intake Manifold K2 K2
A.I.R. O O
Exhaust L L
E.G.R. M M
Accessory Drive H H
Ignition S S
E.C.M. T T
Electrical System U U
Engine Assembly V V
Level of Dependence
High
Average
Low
Team 1
Team 2
Team 3
Team 4
System Integration Team
Lessons Learned: IntegrationLessons Learned: Integration
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esso s ea ed eg a og
►► Large development efforts require multipleLarge development efforts require multipleactivities to be performed in parallel.activities to be performed in parallel.
►► The many subsystems must be integrated toThe many subsystems must be integrated toachieve an overall system solution.achieve an overall system solution.
►►Mapping the information dependence reveals anMapping the information dependence reveals anunderlying structure for system engineering.underlying structure for system engineering.
►► Organizations and architectures can be designedOrganizations and architectures can be designed
based upon this structure.based upon this structure.
ConclusionsConclusions
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►► The DSM supports a major need in productThe DSM supports a major need in product
development:development:
documenting information that is exchangeddocumenting information that is exchanged
►► It provides visually powerful means for designing,It provides visually powerful means for designing,
upgrading, and communicating productupgrading, and communicating productdevelopment activitiesdevelopment activities
►► It has been used in industry successfullyIt has been used in industry successfully
Additional Material Additional Material
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►► EppingerEppinger, S.D., "Innovation at the Speed of, S.D., "Innovation at the Speed of
Information," Harvard Business Review, January,Information," Harvard Business Review, January,33--11, 2001.11, 2001.
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