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EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005
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EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

Jan 17, 2016

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Page 1: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

EPSRC Design Performance Cluster

2005

Mark Haffey(Alex Duffy)

CAD Centre, DMEMUniversity of Strathclyde

9th February 2005

Page 2: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Performance analysis (E2 and DAM) PERFORM Designing design

(craft, parametric and optimisation)

Conclusion

Axioms:

- Activities are the fundamental means of performance

- Design and its management are inextricably linked

Contents

Page 3: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Efficiency ()

Effectiveness ()

the E2 Performance Model

ActivityInput Output

Resources

Goals/Constraints

Per

form

ance

an

alys

isTask

Page 4: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Scope of analysis

Product Development Program

Project A

Phase

Activity

RANGELEVEL

Per

form

ance

an

alys

is

Page 5: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

DI

DG DAG

DAI

DO

DAO

DR DAR

ProductDevelopment

D - Design KID DA - Design Activity KID

the E2 Performance Model

KID: Knowledge, Information and Data

Per

form

ance

an

alys

is

Page 6: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

DesignDevelopment

OI

R

G

the E2 and DAM models

Per

form

ance

an

alys

is

Page 7: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

DesignActivity

DesignManagementActivity

Stop

DR DAR

12

3

4

DO

DAO

DG DAG

G

O

R

Managed Activity

DI

DAI

I

the E2 and DAM models

DesignEffectiveness ()

Design ProcessEffectiveness ()

Per

form

ance

an

alys

is

Page 8: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Analysis Team

Facilitator(s)

Customer needs - PERFORM

GoalDefinition

Prioritised Goals

Tools• CAD• EDM• Email• …...

Methods• DFX • QFD• …...

Approaches• Concurrent

Engineering• Decision

Support• ……

Analysis

Selection of Target Areas

Specification

PERFORMSystem

ResourceDefinition

2.83.0

2.22.0

2.2

1.9

0.8

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

0.0 1.0 2.0 3.0 4.0 5.0Ease

Co

ntr

ibu

tio

n%

of

Tot

al (

Idea

l)

Co-location

Info integ'n

& sharing

PDM/EDM

Shared workspace

Standardisation

Tool integ'n

Web page

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50% of Total Ideal

IdealCurrent

0.00.51.01.52.02.5

Assessment

Presentation Review

Cu

sto

mer

nee

ds

Page 9: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Performance and designing design

Through performance analysis metrics of the design activity or process can be defined

Like product design, performance targets can be set and the process designed to meet those targets

Different approaches can be used for designing design, such as:

Craft based

Parametric

Optimisation

Des

ign

ing

des

ign

Page 10: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Craft based design

(Ad)

(Am)

(Am)

(Ad)

(Am)

(Ad)

Measures and values of efficiency & effectiveness

Areas for Improvement in Efficiency & Effectiveness

2.83.0

2.22.0

2.2

1.9

0.8

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

0.0 1.0 2.0 3.0 4.0 5.0Ease

Co

ntr

ibu

tio

n%

of

Tot

al (

Idea

l)

Co-location

Info integ'n & sharingPDM/EDM

Shared workspace

Standardisation

Tool integ'n

Web page

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50% of Total Ideal

IdealCurrent

0.0

0.5

1.0

1.5

2.0

2.5

Des

ign

ing

des

ign

Page 11: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Parametric based design

Process Improvements ( and )

Performance model

Re-engineering/Re-designing

Measures and values of efficiency & effectiveness

(Ad)

(Am)

(Am)

(Ad) (Am)

(Ad)

Des

ign

ing

des

ign

Page 12: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Process optimisation

A number of process modelling techniques exist, such as:

a b

c

d

ef

Directed Graphs IDEF

Activity 1.54Resource X.1Duration 1.67

Activity AlphaResource noneDuration 0.11

Activity ffdResource CVBDuration 100.0

Activity yswResource P3222Duration 9.999

These techniques could generally be described as being qualitative and offer no direct mechanisms for a quantitative assessment and optimisation of the process.

Des

ign

ing

des

ign

Page 13: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

The DSM is generic and due to its compactness and easily quantifiable nature, has seen considerable use in the analysis and management of the product development process.

The DSM consists of a sequence of activities that are represented in the same order in both the row and column of the matrix.

The central part of the matrix represents the dependencies between the activities.

Task 1

Tas

k 1

Task 2

Tas

k 2

Task 3

Tas

k 3

Task 4

Tas

k 4

Task 5

Tas

k 5

Task 6

Tas

k 6

Task 7

Tas

k 7

Task 8

Tas

k 8

Task 9

Tas

k 9

Task 10

Tas

k 10

Iteration exists within the process as feed-back dependencies.

Process optimisationD

esig

nin

g d

esig

n

Page 14: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Before Optimisation After Optimisation

Iteration Criteria: 8960000Iteration Criteria: 35870000

75% Reduction

Des

ign

ing

des

ign

Process optimisation – Ship design

Page 15: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.

© Alex Duffy, CAD Centre, University of Strathclyde Jan 05.

Conclusion

Presented on-going work to improve the design process through “designing design”

Defined clear relations between goals, activities, resources, and tasks

Design is a managed activity

Performance is efficiency and effectiveness. Provides measures for ‘design analysis’

Customer needs identified through PERFORM analysis

Approaches to ‘designing design’ presented: Craft

Parametric

Optimisation based

Co

ncl

usi

on

Page 16: EPSRC Design Performance Cluster 2005 Mark Haffey (Alex Duffy) CAD Centre, DMEM University of Strathclyde 9 th February 2005.