Week 2 - Incroduction To Six Sigma Flashcards

1
Q

Define six sigma

A

Is a business improvement approach that seeks to find and eliminate causes of defects and errors in manufacturing and service processes by focusing on outputs that are critical to customers and a clear financial return

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2
Q

What is the relationship between six sigma and variation? (2)

A

• Refers to a measure of average variation (I.e standard deviation)
• Is about a never-ending effort to continuously variation

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3
Q

What is the relationship between six sigma and defects

A

• Signifies a generic quality level of at most 3.4 deflects per million opportunities
• Defects have an impact on product or service quality and customers’ satisfaction

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4
Q

What are the key factors in six sigma project selection? (5)

A

• Financial return - measured by minimising costs associated with quality and process performance and impacts on revenues and market share
• Impacts on customers and organisational effectiveness
• Probability of success
• Impact on employees
• Fit to strategy and competitive advantage

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5
Q

7 Tools for six-sigma and quality improvement

A

• Elementary statistics (mean, mode, various diagrams)
• Measurement methods
• Process control
• Product design and reliability
• Process improvement
• Implementation and teamwork
• Advanced statistics

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6
Q

3 key characteristics of six sigma

A

• Problem to be solved
• process in which the problem exists
• One or more measures that quantify the gap to be closed and can be used to monitor progress

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7
Q

Different types of problems that are suitable for six sigma (5)

A

• Conformance problems - are easily described and well specified
• Efficiency problems - wasted resources when delivering what customers want
• Unstructured performance problems
• Product design problems - creating a product that fulfils what customers demand
• Process design problems - processes that cause problems or result in defects

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8
Q

What is DMAIC? (Six sigma methodology)

A

• Define
• Measure
• Analyse
• Improve
• Control

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9
Q

Explain the define stage in DMAIC (Six sigma methodology) (2)

A

• Identify what the problem is that we are trying to solve?
• Launch team, Plan project, Plan change, Understand customer needs

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10
Q

Explain the measure stage in DMAIC (Six sigma methodology) (2)

A

• Identify what data can we collect to understand the problem
• Document the process, collect baseline data, narrow project focus

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11
Q

Explain the analyse stage in DMAIC (Six sigma methodology) (2)

A

• Analyse the collected data to know where to focus efforts
• Identify root cause, identify and remove wastes

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12
Q

Explain the improve stage in DMAIC (Six sigma methodology) (2)

A

• Identify what improvements we should be prioritising to improve performance for customers
• Generate, evaluate and optimise solutions then plan and implement

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13
Q

Explain the control stage in DMAIC (Six sigma methodology) (2)

A

• How can we ensure that improvements are sustained
• Validate project benefits, control the process

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14
Q

What are the different six sigma teams (5)

A

• Champions - senior level managers who promote and lead the deployment of six sigma
• Master black belts - full time six sigma experts responsible form six sigma strategy, training, mentoring, deployment and results
• Black belts - fully trained six sigma experts with extensive technical training who perform much of the technical analysis required in six sigma projects
• Green belts - functional employees trained in introductory six sigma tools and methodology working part time and assist black belts
• Team members - Individuals from various functional areas who support specific projects

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15
Q

Where does variation come from? (5)

A

• Machine (equipment)
• Method (process/inspection)
• Material (Raw, consumables etc)
• Man power (people)
• Environment (external effects that are out of control)

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16
Q

What is tolerance? (2)

A

• Is the acceptable variation by customer
• Ranges from upper specification limit (highest acceptable outcome) and the lower specification limit (lowest possible outcome

17
Q

What is normal distribution

A

Is a bell shape distribution of outputs over time

18
Q

What is standard deviation (σ)?

A

Related to output variability

19
Q

What is the mean (μ)?

A

Average value of outputs over time

20
Q

Standard deviation for a population equation

A

Slide 18 of week 2

21
Q

Standard deviation for a sample equation

A

Slide 18 of week 2

22
Q

Define process capability (Cp)

A

• Measures how well the data might fit between the spec limits (USL, LSL)
• Cares about whether the process would fit if it was centred

23
Q

Process capability formula (2)

A

• Cp = (USL-LSL)/6σ
• (USL-LSL) is the voice of the customer and 6σ is the voice of the process

24
Q

What is accuracy

A

Is based on the mean value of hitting the centre but not precise (spread out across the target - high variation)

25
Q

What is precision?

A

Closely grouped on the target-low variation) but not accurate and is based on the mean of the value being away from the centre

26
Q

Accuracy vs precision

A

Companies aim for high precision and high accuracy

27
Q

Six sigma metrics (3)

A

• Defect - any mistake or error that is passed on to a customer
• Defects per unit (DPU) - number of defects discovered (in sample) / number of units produced (in sample)
• Defects per million opportunities (DPMO) = DPU x 1000000 / opportunities for error

28
Q

Six sigma metrics in services (7)

A

• Cycle time - how long it takes do something
• Throughput time - a measure of lead time or transit time
• Waste - anything not contributing to what customers are willing to pay for
• Cost - the internal cost of process activities
• Revenue - A better quality product can increase revenue
• Customer requirements - what do customers want?
• Customer satisfaction - which is typically the primary measure of success

29
Q

5 Key tools used in the define stage

A

• IPO
• SIPOC
• Flow diagram
• CTQ tree
• Project charter