optimization and reliability systems engineering analysis

8/11/2019 Optimization and Reliability Systems Engineering Analysis

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Optimization and

ReliabilityMihir Kale u5182047Zhaolin Liu u5355870

Yoke Fung u5139148

Ding Zhang u5611850


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2

Introduction to Optimization and

Reliability Optimization

- used to understand the relationship between

two (or more) variables to ultilise the systemeffectively

Reliability- optimizing the system while maintain thereliability.


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Background Theory

Pareto Principle

- to determine the most important

variables/factors

Bathtube Curve

- to understand the likelihood of a system'sfailure over its lifespan

3


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Activity 1- Time Management

Question

- How much time do you spend in the following

activities in percentage?

Requirements

- Split into four groups-carry out the "time management" with handoutsdistributed.

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Examplecomputer failures?

5

Source: http://electronics.howstuffworks.com/how-to-tech/how-to-donate-

computer.htm


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6

Early-stage Failures

- Faulty component (i.e.faulty microprocessor)

- Improper assembly

- Short circuit

Random Failures

- File corrupts- Browser freezes

- Driver failure

- Blue screen

Wear-out Failures

- Keyboard losing

sensitivity

- Screen losing pixels

- Mechanical cracks

- Dust on the circuit

board

Source: http://nomtbf.com/2012/05/the-drain-in-the-bathtub-curve/

Bathtub Curve and Reliability


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7

Bathtub CurveAnother example (F4U

Corsair)

- Landing gear

problems

- Spin issues

- Engine fatigue- Instruments become

inaccurate

- Oil overheats more

frequently

Canopy jammed; guns jammed; radio failure


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Pareto Principle

The 80-20 rule:

Unequal relationship between inputs and outputs; For many events, 80% of the efects come from 20%

of the causes;

Allows to focus on the important aspects;

Many applications on optimization process.


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Pareto Principle: Applications

Business:

80% of the sales volume: 20% of the products;

20% of the products: 80% of warehouse space;

80% of production: 20% of employees;

80% of revenue: 20% of the customers;

80% complaints: 20% of the clients.


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Pareto Principle: Applications

Software:

Microsoft: by fixing the top 20% of the most-reported

bugs, 80% of the related errors and crashes in a givensystem would be eliminated.

Lowell Arthur: 20% of the code has 80% of the errors.

Find them, fix them!


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Pareto Chart

Seven basic tools of

quality;

Sorts the frequencies ofoccurrences: prioritization

of problems (ABC

Analysis);

Highlight the mostimportant among a set of

factors.


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Analysis of Results

Time management activity


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Optimisation and Design of

Experiments (DoE)a) What is Optimisation?

b) Example of optimisation?

What time do we get up in the morning so that we maximize the amount of

sleep yet still make it to work on time? What is the best route to work?

Optimal amount of daily exercise

Minimal amount of insulation for a greenhouse

Getting the correct settings on a monitor

How to optimise? Mathematical process (Difficult)

Design of experiments

Design of Experiments

Goal

Relatable variable


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Design of Experiments example: Paper

Plane


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Design of Experiments (continued)Step 1

What is the goal? What are the factors(variables) that would affect the desired

output(goal)?

Step 2

Determine the settings of the variable

Step 3

Create a table and record the results

Step 4

Extract the effects of each variables on the output by calculating the gradient

Step 5

Plot a graph of each variables against the output

Step 6

Construct Pareto chart


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Take Home Message/s

To demonstrate how to use Pareto

approach to optimise the biggest problem

at hand Explaining the Bathtub Curve and how can

it be applied to an engineering technology

(i.e. computer)? Participants should know how to create an

experiment and vary relevant variables to

achieve the desired output 16


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Conclusion to Optimization and

Reliability Optimization

- Is the process of making something

better. Once a idea is conjured, theengineers (us) use optimization to improve

on that idea

Reliability- Is effectively trying to optimize the

system, at the same time keeping it

reliable 17


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Thank you for listening!

Reference:

http://nomtbf.com/2012/05/the-drain-in-the-

bathtub-curveLeavengood, S., and Reeb, J., 2002, Pareto

Analysis and Check Sheets

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http://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://owic.oregonstate.edu/sites/default/files/pubs/EM8771.pdfhttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curvehttp://nomtbf.com/2012/05/the-drain-in-the-bathtub-curve

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