Exam 1 Flashcards

1
Q

4 ways in which we compete

A

Cost, quality, delivery, customer service

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2
Q

Modern view of quality

A

It is all about the customer. We’ll be in trouble when the seller starts to call the shots. The voice of the customer determines the CTQ’S

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3
Q

Variable (Continuous). Measurable ex. Interval and ratio

A

Information and figures used to build control charts.it is information that is measurable. You can count the number of non-conforming variables and put them as good or bad or measure them in a control chart

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4
Q

Attribute (Categorical) or discrete variables, nominal or ordinal

A

Go/no-go information.it is used to create control charts

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5
Q

Quality characteristics

A

Structural, sensory, time-oriented, ethical

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6
Q

4 quality costs

A

Preventative (good):preventative measures
Appraisal (good):audits, sampling
Internal failure (bad): catch problems internally
External failure (bad): transfer problems to the customer

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7
Q

Taguchi’s loss function

A

If you’re off target, you’re paying a failure cost and you don’t know it

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8
Q

What is Lean?

A

A waste reduction initiative that is visual

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9
Q

What is six sigma?

A

It is a goal that is invisible. Management strategy to use statistical tools and project work to acheive breakthrough profitability and gains in quality. 3.4 defects per million opportunities.

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10
Q

How do we improve a characteristic?

A
  1. Shift the mean to the center

2. Reduce sigma or variability

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11
Q

Categories of LSS

A

Metric- sigma is used to measure variability or standard deviation
Methodology- disciplined methodology that serves as a road map for process improvement. DMAIC
Philosophy-vision, focus, and direction for a company

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12
Q

Why is 3s not good enough?

A
  1. Compounding effect: compounding of serial processes
  2. Shift and drift
  3. Multiple suppliers
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13
Q

Relationship of six sigma and Lean?

A

You need to focus on both. Good quality will improve speed. Speed does not mean good quality. They. have a positive relationship.

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14
Q

Team stages

A

Forming: form team, expectation is unclear
Storming:conflict occurs, rolls form
Norming: team starts to gel, solving conflicts
Performing: results

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15
Q

SWOT

A

Strengths, weakness, opportunities,threats

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16
Q

SIPOC

A

Suppliers, inputs, process,outputs, customers. A visual tool for documenting a business process from beginning to end prior to implementation

17
Q

voc

A

Voice of the customer.

  1. Identify Customers and determine what you need to know
  2. Collect and analyze reactive system data then fill gaps with proactive approaches
  3. Analyze data to generate a key list of customer needs in their language
  4. Translate the customer language into CTQs
  5. Set specifications for CTQS
18
Q

VOC outcomes

A
  • List of customers and customer segments
  • Identification of relevant reactive and proactive sources of data
  • Verbal or numerical data that identify customer needs
  • Defined CTQ requirements
  • Specifications for each
19
Q

The Kano Model

A

A method for prioritizing features on a product roadmap based on the degree to which they satisfy the customer.

Must be characteristics are generally taken for granted
Customers generally discuss or bring up issues related to More is Better
Delighters are generally not mentioned, since customers are
dissatisfied with their absence

20
Q

CTQ tree

A

Translates broad customer requirements into specific CTQ requirements

  • needs → drivers → CTQ
  • Define what is discrete and what is continuous
21
Q

Process maps

A
Purpose: drill deeper into process and outline failure modes
Process inputs (X)
Process outputs (Y)
Product parameters (y): failure modes
Process parameters (x): failure causes
22
Q

2 types of variation

A

Common:noise, inherent,drift,natural - management responsibility
Special:assignable, shift - operator responsible

23
Q

Tools for qualitative data

A
  • Check sheets, bar charts, pie charts, pareto charts
24
Q

Tools for quantitative data

A
  • time plot, histogram, box plots,frequency plots, control charts
25
Q

Three types of limits

A
  1. Specification: comes from the customer
  2. Control: come from variation in the process. Come from process data
  3. Natural: 3 standard deviations from the mean. Come from process data
26
Q

Short term vs. Long term data

A

Short-term: No special cause variability

Long-term: Special and common variability

27
Q

Time-oriented data

A
  • Process conditions can change over time; data from one point in time is not always comparable to that from another point in time
  • Bias can enter the data
  • If you ignore time-related patterns, your conclusions
    may be false
28
Q

Cause and effect diagrams

A

Fishbone diagrams used to defect the possible causes for a specific effect

29
Q

Control charts (spc)

A

Detect special cause variability quickly

30
Q

Stratification

A

Sorting data by distinct groups

31
Q

Dissagregation

A

Data broken down into detailed sub-categories

32
Q

Four ways to assess data

A
  1. Simple Yield and rolled throughput
  2. Defect per unit and defect per million unit
  3. Sigma level
  4. Capability indices
33
Q

Stability vs. Capability

A

Stability: consistency of the process to stay within the control limits
Capability:ability of a process to meet customer specifications

34
Q

Normal distribution

A

The Normal Distribution: the most widely used distribution in the theory of statistical quality control is the normal distribution. It is a two-parameter distribution symmetric about the mean.

  • Mean = mu
  • Standard Deviation = Sigma