612-Information_flow_in_multi-disciplinary_civil_engineering_project_design_teams_IGLC18_v4-libre.pdf

8/9/2019 612-Information_flow_in_multi-disciplinary_civil_engineering_project_design_teams_IGLC18_v4-libre.pdf

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Civil and Environmental Engineering

Technion - Israel Institute of Technology

Effi Tribelsky and Rafael Sacks

The relationship betweeninformation flow and project successin multi-disciplinary civil engineering

design





2IGLC18 Information flow in multi-disciplinary civil engineering project design teams Tribelsky and Sacks

Background

measure and visualize information flow in detailed design

Goal

Examine correlations between information flow and projectoutcomes

MethodCompare flow measures and project results

Results

Conclusions

Direct empirical relationship between measures ofinformation flow and the effectiveness of designdocuments






Broad research goal

Background

Goal

Method

Results

Conclusions

To understand the nature of the relationshipbetween information flow and project success inmulti-disciplinary civil engineering design

Based on research about developing a model forunderstanding, measuring and visualizing theprocess and information flow in detailed designof civil engineering projects






Information flow in detailed design

Analyzing information flow in organizations usingconcepts of fluid mechanics. Fyall (2002)

Modeling collaborative design and informationflow using concepts of electrical current. Ostergaard

and Summers (2007)

Considering the detailed design process to besimilar to production processes. Ballard (2000)

Background

Goal

Method

Results

Conclusions






Production process flow analogy

Background

Goal

Method

Results

Conclusions

Design Structure Matrix (DSM)approach (Steward 1981)

Toyota Product Development

System (Morgan and Liker 2006)

Theory of Constraints (Goldratt 1997)

Lean Design in the Context of LeanConstruction (Freire and Alarcon 2002).






Hypotheses The phenomena that characterize flow in generic

production systems can be identified in flows ofinformation in the detailed phase of civilengineering design

Flow phenomena measurement values arepredictors of design process outcomes

Background

Goal

Method

Results

Conclusions

Project teams can improve thevalue they deliver by taking

conscious steps to improve theflow of information within theirdesign teams






Goals To develop measures of information flow

efficiency.

To develop a tool for visualizing the flow ofinformation through the design process

To determine the correlations between themeasures and actual project results

Background

Goal

Method

Results

Conclusions






Overview of the research procedure

Backgroundconditions

Project recordsProject recordsProject records

Project recordsProject records

Project Sample14 projectsselected out of115 projects

Independent

assessment of

information flows

Independent

assessment of

success or failure

Calibration Calibration

Knowledge of thisrelationship

Background

Goal

Method

Results

Conclusions

Developmeasures of

information flow

Calculate

measures of

information flow

7 proposedmeasures






Case Study Projects

Project typeBuilt area

(m²)Budget

($M)

Number offile trans-

actions

Timespan

(days)

Number ofdesign firms/

disciplines

A Residential buildings 5,000 4.5 4,870 182 14

B Runway 230,000 26.5 3,650 545 16

C Airplane park 250,000 20.7 13,355 188 15

D Sewage pumping station 320 1.4 2,457 456 12

E Control tower 800 4.2 6,515 303 16F Communication centre 1,300 3.0 5,627 365 16

G Infrastructure facilities NA 22.4 6,879 527 11

H Office building 1320 4.2 4,409 226 13

I Workshops 2,500 2.8 3,232 430 16

J Office building 340 1.1 3,488 487 14

K Airplane hangar 7,300 8.5 4,734 462 16L Fuel delivery pipeline NA 2.5 4,114 466 11

M Office building 1,900 3.9 2,470 282 15

N Residential building 1,700 1.5 4,248 182 11






Index/Measure Description Symbol

Activity Frequency Frequency of usage of a project's informationpackages

AFr

Information Package Size Level of detail of information packages IPS

Batch Size Volume of information in a transferred batch BSz

Batch Rhythm Rhythm with which the information batches aretransferred

BRy

Information DevelopmentVelocity

Speed and rate of information expansion IDV

Rework The amount and nature of design rework Rew

Bottlenecks Slowest work station in the process Bot

Information flow measures

Tribelsky, E., and Sacks, R., (2010). ‘Can the flow of information during the detailed design of constructionprojects be measured?’ Research in Engineering Design (doi:10.1007/s00163-009-0084-3).

http://dx.doi.org/10.1007/s00163-009-0084-3

http://dx.doi.org/10.1007/s00163-009-0084-3

http://dx.doi.org/10.1007/s00163-009-0084-3

http://dx.doi.org/10.1007/s00163-009-0084-3






Data collection sources

Daily activity logs (recorded in @view)

Drawings and documents

Project design meetings Interviews

Design reviews, quality control

Background

Goal

Method

Results

Conclusions






Measuring design document effectiveness

Chang, A., and Ibbs, C. W. (1999). "Designing levels for A/Econsultant performance measures." Project Management Journal ,30(4), 42-55.

Background

Goal

Method

Results

Conclusions






Time line

10

30

20

40

50

60

N u m b e r o f a c t i o n s

05/06 06/0606/ 06 07/0606/ 06 08/0606/ 06

Design Group meeting

Number of data transfers

Average number of data transfers

2

Information flows and project milestones

Background

Goal Method

Results

Conclusions

14IGLC 8






Information flows and project milestones

Background

Goal Method

Results

Conclusions

1 0 0

ת

ל

ע

פ

1st per.

2nd per.

ex. Val.

15IGLC18






Information packages size

Background

Goal Method

Results

Conclusions

0%

20%

40%

60%

80%

100%

i n f o r m a t i o n p

a c k a g e s s i z e

Date

F-A

F-B

F-C

16IGLC18 I f i fl i l i di i li i il i i j d i T ib l k d S k






Development of information in projects

Background

Goal Method

Results

Conclusions

0.00%

0.20%

0.40%

0.60%

0.80%1.00%

1.20%

1.40%

1.60%

1.80%

2.00%

D

e v e l o p m e n t o f i n f o

r m a t i o n ( % / d a y )

Date

17IGLC18 I f i fl i l i di i li i il i i j d i T ib l k d S k






0%

20%

40%

60%

80%

100%

120%

B a t c h s i z e

( % )

Date

Development of information batch size

Background

Goal Method

Results

Conclusions

18IGLC18 I f ti fl i lti di i li i il i i j t d i t T ib l k d S k






Background

Goal Method

Results

Conclusions

Relationship betweenChang & Ibbs' measure ofthe effectiveness of designdocuments and thefrequency of occurrence of

information flow wastephenomena

A

B C D

E

FG

H

I

J

K

L

M

N

0

1

2

34

5

6

7

8

9

10

50 60 70 80 90 100

F r e q u e n c y o

f w a s t e p h e n o m e

n a

Effectiveness of design documents

Chang, A., and Ibbs, C. W. (1999). "Designing levels for A/E consultantperformance measures." Project Management Journal , 30(4), 42-55.

Results for document effectiveness

19IGLC18 I f ti fl i lti di i li i il i i j t d i t T ib l k d S k






Background

Goal Method

Results

Conclusions

A

B C D

E

FG

H

J

K

LM

N

0

1

2

3

4

5

6

7

-40% -20% 0% 20% 40% F r e q u e n c y

o f w a s t e p h e n o m e

n a

Schedule target variation

A

BCD

E

F G

H

J

K

L

M

N

0

1

2

3

4

5

6

7

-100% 0% 100% 200% F r e q u e n c y

o f w a s t e p h e n o m e n a

Budget target variation

Relationships between variation in meeting schedule andbudget targets and the frequency of information flowwaste phenomena

Results for project outcomes

20IGLC18 Information flo in m lti disciplinar ci il engineering project design teams Tribelsk and Sacks






Conclusions

Background

Goal Method

Results

Conclusions

The results show a direct empiricalrelationship between the objectivemeasures of information flow and themeasures of the effectiveness ofdesign documents

This study sought evidence of possible correlationbetween the characteristics of information flowbetween design team members and the degree ofsuccess achieved in the detailed design phase of

civil engineering projects

21IGLC18 Information flow in multi disciplinary civil engineering project design teams Tribelsky and Sacks






Conclusions

Correlation between subjective impressions of aproject's success on the part of its participants,including the client, and the quality of informationflows, could not be proven conclusively

Background

Goal Method

Results

Conclusions

Thanks for your attention.

Questions?

Documents

612-Information_flow_in_multi-disciplinary_civil_engineering_project_design_teams_IGLC18_v4-libre.pdf