Week 4 Flashcards

1
Q

Engineering Design Process

A
  1. Define the problem
  2. Formulate Solution
  3. Develop and test models and prototypes
  4. Implement and present the design
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2
Q

Problem —- Diverge:

A

Formulate Alternate Soltutions

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3
Q

Converge —- Solution:

A

Assess alternate solutions

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4
Q

How do we assess solutions?

A

Decision matrix
Decision Tree

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5
Q

What is a decision matrix?

A
  • Method to systematically compare alternate solutions
  • Relies on criteria defined in the problem definition stage
  • Allows you to assign higher weight to criteria that are more important
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6
Q

Step 1 of decision matrix

A

Identify alternatives (divergent thinking)

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7
Q

Step 2 of decision matrix

A

Define selection criteria

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8
Q

Step 3 of decision matrix

A

Assign weighs to criteria

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9
Q

Step 4 of decision matrix

A

Design scoring system (ensure member understand of what low, medium, or high score represents)

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10
Q

Step 5 of decision matrix

A

Score the alternatives (assign a score for each criterion, multiply each score by the weight factor)

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11
Q

Step 6 of decision matrix

A

Total the scores

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12
Q

Steps of the decision matrix:

A
  1. Identify Alternatives
  2. Define Selection Criteria
  3. Assign weights to criteria
  4. Design Scoring System
  5. Score the alternatives
  6. Total the Scores
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13
Q

Systematic, Efficient, Unifying are benefits of a

A

Decision matrix

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14
Q

Subjective, non-comprehensive are limitations of a

A

decision matrix

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15
Q

Decision Tree is a

A
  • Flow chart showing consequences of decision
  • Includes decisions and chance events
  • Easily compare outcomes
  • Analyze alternative options
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16
Q

Visual, Efficient and Flexible are benefits of a

A

Decision Tree

17
Q

Complex (can add to many decisions), risk (neglect possible outcomes) are limitations of a

A

decision tree

18
Q

Phases of Developing Models

A
  1. Sketches
  2. Virtual model
  3. Early Prototype
  4. Final Design
19
Q

Phases of Testing

A
  1. Trail and Error
  2. Experiment
  3. Verification (meets objectives)
  4. Validation (fulfils intended purpose, test under realistic conditions)
20
Q

Developing and testing models is NOT linear

A

True, you are iterating through models and tests to refine design

21
Q

Reflection after design

A
  1. What did I learn?
  2. What worked?
  3. What didn’t work?
  4. What was hard?