Detection of Teamwork Behaviors as Meaningful Exploration ... · Development of Autonomous Vehicle...

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Detection of Teamwork Behaviors as Meaningful Exploration of Tradespace during Project Design Puay Siang TAN, MIT [email protected] Dec 07, 2018

Transcript of Detection of Teamwork Behaviors as Meaningful Exploration ... · Development of Autonomous Vehicle...

Page 1: Detection of Teamwork Behaviors as Meaningful Exploration ... · Development of Autonomous Vehicle 7 120 Minutes Challenge 19 Design Groups 1 Common Baseline Change Team Size, Location,

Detection of Teamwork Behaviors as Meaningful Exploration of Tradespace during Project Design Puay Siang TAN, MIT [email protected] Dec 07, 2018

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Team of Teams working on Systems of Systems

Measuring Performance for Complex Problem Solving

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About the Research

Study of Teamwork Behaviors of Team of Teams by

Quantifying team performance

Visualizing patterns in making project trade-offs

Detecting coherence in decision making

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Teamwork Behaviors

4

Management

Project Director

Team 4

Team 2

Team 1

Team 3

Team of Teams

Mesoscale

Inter-functional

groups and teams

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Macroscale

Total Projects and

Portfolios

Microscale

Individuals and

Small Teams

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Modelling Approach to Measure Team Performance

5 19 April

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Products

Team of Teams

Project Design

Activities

Model complex engineering project as a system

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Capture dependencies between resources, activities and products

Simulate project outcomes to forecast cost and schedule

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Development of Autonomous Vehicle

7

120 Minutes Challenge

19 Design Groups

1 Common Baseline

Change Team Size,

Location, Abilities

Add/ Remove

Products

Add / Remove Activities, Change

Complexity and Dependencies

19 April

Photo: www.mit.edu

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Tradespace Exploration

Pro

ject

Co

st

Project Duration (days)

Common Starting Point

19 April Credit: © Bryan Moser

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Defining Team Performance

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Tradespace Exploration

Cost

Duration (Days) Utopia Point

Pareto Frontier:

Region of Non-Dominated

Solutions

Non-Dominated Solutions:

Not out-performed by others

in both cost and duration

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Project Outcomes A better performing

Design Group has:

More non-dominated

project outcomes

More project outcomes

on a Pareto Frontier

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19 April 10

Methodology to Quantify Team Performance

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Common Baseline

Data Analysis

Pareto Frontier 1

1 Identify non-dominated solutions to

draw the 1st Pareto Frontier.

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Pareto Frontier 2 Remove all points on Pareto Frontier 1

to allow Pareto Frontier 2 to emerge. 2 Pareto Frontier 3

Repeat process till all dots are identified

on respective Pareto Frontiers 3

Each Design Group

is denoted by a

different color

Each dot is a project

outcome simulated

by the Design Groups

Total of 529 project

outcomes simulated in 120

mins by 19 Design Groups

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Defining Ranking Logic

12

Pareto

Frontier

No of Project Outcomes per Design Groups

A B C D E

1 2 1

2 1

3 2 2

4 3 2

Design

Group

Rank

A 1

B 2 Rule 1:

Design Groups with project outcomes in the earlier Pareto Frontiers are ranked higher

Rule 2:

Within a Pareto Frontier, Design Groups with more project outcomes are ranked higher

Rule 3:

For ties, keep comparing at subsequent Pareto Frontiers (with Rule 1 & 2) till tie breaker occurs.

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Design

Group

Rank

A 1

B 2

C 3

Design

Group

Rank

A 1

B 2

C 3

D 4

E 5

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Visualizing Tradespace Explorations with

Project Design Tree Diagrams

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Tree Diagrams

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70 72

52 58 59 60 61 62 63 66 65 69

76 78 79

81

83

84

67 48 53 49 57 73 64 71 77 80 82 86 90 91

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11

Baseline:

Project Model ID 11

A circle represents an iteration simulated to obtain a project outcome

Project models build on from previous models forming

Iteration Streams during tradespace exploration

Chain Like

Branches

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11

70 72

67 48

52

53 49 57

58 59 60 61 62 63

73

66 65

64

69

71

76

77

78 79

80

81

82

83

84

86 90 91

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Color Code Tree Diagrams

Color codes reveal type of changes in each iterations

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Meaningful Explorations Top Performing Group

Bottom Performing Group

Insights from Tree Diagrams: Top Performing Group has many iterations

with changes (colored circles) than Bottom Performing Group.

Top Performing Group has many branches but Bottom Performing has none.

Meaningful Iteration Stream

Meaningful Iteration Streams

No Meaningful Iteration Streams

Meaningful Iteration Stream

is an Iteration Stream with more than

five (5) iterations with changes

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Investigating Indicators for Team Performance

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Similar Trend for No of Iterations and Iterations with Changes

Rank #1

Rank #19

Total No of Iterations No of Meaningful Iteration Streams No of Iterations Streams

No of Iterations with Changes

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No of Iterations of Changes No of Meaningful Iteration Streams

Downward Trend for Bottom 10 Design Groups

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Investigating Indicators for Team Performance

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Detecting Coherence in Decision Making

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Chunking the Tree Diagram

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Meaningful Iteration Stream 1

By observing segmented

chunks to see the “blocks of

changes” may further reveal

if the Design Group are

coherent in their decision

making by measuring how

focused they are

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• Meaningful Iteration Streams is a better indicator of Team Performance

• Measuring how focused a Design Group is during decision making process can be defined as an Indicator of Coherence

• A Design Group with coherence may signal a better chance of meaningful changes made during tradespace exploration

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Conclusions from Experiment

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Conduct Similar Experiment in Real-World Industry

Further refinement of the framework in evaluating team performance

Provide real-time feedback on team interactions & performance in organizations

Measurement of Team Learning Effects

Repeat Design Challenge with same participants 2-3 months later

Measure any learning effects arising from Project Design Challenge

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Future Work

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Conference Proceedings

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[email protected]

[email protected]

Available @ [email protected]

Tan Puay Siang and Bryan Moser,

Detection of Teamwork Behaviors as Meaningful

Exploration of Tradespace during Project Design,

Complex Systems Design & Management Asia 2018,

Volume 878, p73-87