alicia, nicole & jason. review the basics terms & concepts statistical measure example ...
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Total Quality Management: An organization-wide effort directed towards the continuous improvement of quality Quality as… “Excellence” “Conformance to Specifications” “Fitness for Use” “Value for the Price”TRANSCRIPT
Quality ControlAlicia, Nicole & Jason
Outline
ReviewThe Basics
Terms & Concepts Statistical Measure
ExampleHomework
Review
Total Quality Management: An organization-wide effort directed towards the continuous improvement of quality
Quality as… “Excellence” “Conformance to Specifications” “Fitness for Use” “Value for the Price”
Review Quality-Related Product Characteristics:
Reliability, Durability, Serviceability Quality-Related Service Characteristics:
Reliability, Tangibles, Responsiveness, Assurance, Empathy
Design Quality: Inherent value of a product in the marketplace
Conformance Quality: Degree to which the product or service design specifications are met
Review Costs of Quality:
External Failure Costs: Result from defects found after products reach customers
Internal Failure Costs: Result from defects found prior to shipment to customers
Appraisal Costs: Result from inspections to assess quality levels
Prevention Costs: Result from efforts to prevent product defects
Characteristics of OPI Systems: Vision/mission/purpose for quality Focus on supplier/customer linkages Passionate commitment to continuous improvement
Basics –Definitions of Product Quality
Product Quality: A product’s fitness for consumption in terms of meeting customers’ needs and desires.
Design Quality: A measure of how well a product’s designed features match up to the requirements of a given customer group
Conformance Quality: A measure of whether or not a delivered product meets its design specifications
Quality Management: A management approach that establishes an organization-wide focus on quality, merging the development of a quality-oriented corporate culture with intensive use of managerial/statistical tools
Basics –Creating TQM
Process-Oriented Focus on
Prevention & Problem Solving
When managing quality control,
management should focus on the process
as a whole as opposed to each individual entity
Viewing Quality Management as a
Never Ending Quest
Because products and processes are
continually changing, quality
management must be continued (even
if only small improvements are
being made)
(Ongoing Process Improvement)
Building an Organizational Culture Around
Quality
Create a culture within the
organization that supports quality
improvement initiatives
Basics –Inverted View of Management
Direction of Support
Traditional Organizational
StructureTQM
Organizational View
Top Manageme
ntMiddle
Management
Lower Level Management & Front Line Supervisors
Employees
Employees
Lower Level Management & Front Line Supervisors
Middle Management
Top Manageme
nt
Basics –Plan-Do-Check-Act Cycles (Deming Wheel)
Act
Check
Plan
Do
Six Sigma Quality
Definition: A management program that seeks to improve the quality of process outputs by identifying and removing the causes of defects and variation in the various processes
Sigma (σ): Represents the standard deviation of values for the output of a process
“Six”: +/- 3 standard deviations
Six Sigma Quality –DMAIC Cycle
1. Define2. Measure3. Analyze4. Improve
5. Control
Customers & their prioritiesProcess & its performanceCauses of defectsRemove causes of defectsMaintain quality
ISO 9000 A set of internationally accepted standards for
business quality management systems Developed by the International Organization for
Standardization (ISO) to facilitate international trade Original: 1987 Newest Version: ISO 9000:2008
Malcolm Baldrige National Quality Award: A national quality award bestowed by the NIST in recognition of superior quality and performance excellence Given by the US President to strengthen American
competitiveness
X-bar / R Charts X-bar/R Charts are useful when you want to monitor
averages over time but still keep track of the variation between individual results
Note: X-bar Charts: Subgroup Average▪ Shows how much variation there is over time in your average
R Charts: Range▪ Shows how much variation there is within each subgroup
“Statistical Control”: The subgroup average is consistent over time and the variation between a subgroup is consistent over time
X-bar / R ChartsExample
X-bar – Subgroup Average Determines whether a
process has shifted to the point that it is no longer “in control”
R – Range = Maximum – Minimum Evaluates the gap between
the largest & smallest observations in each sample
Ex. Bowling
X-bar / R ChartsStep 1 – Gather the data
1. Select subgroup size (n)2. Select the frequency with which the
data will be collected3. Select the number of subgroups (k) to
be collected before control limits are calculated
4. For each subgroup, calculate the subgroup average (Xbar = SX/n)
5. For each subgroup, calculate the group range (R = Xmax – Xmin)
X-bar / R ChartsStep 2 – Plot the data
1. Select the scales for the x and y axes for both the X & R charts
2. Plot the subgroup ranges on the R chart and connect consecutive points
3. Plot the subgroup averages on the X chart and connect consecutive points
X-bar / R ChartsStep 3 – Calculate the overall process averages and control limits
1. Calculate the average range (Rbar = SR/k); Plot it on range chart
2. Calculate the overall process average (Xdbar = SXbar/k); Plot it on X-bar chart
3. Calculate control limits for R chart; Plot on R chart1. (Upper) UCLr = D4Rbar2. (Lower) LCLr = D3Rbar3. D3/D4 are control chart constants that depend on group size
4. Calculate control limits for X-bar chart; Plot on X-bar chart
1. (Upper) UCLx = Xdbar + A2(Rbar)2. (Lower) LCLx = Xdbar – A2Rbar3. A2 is a control chart constant that depends on subgroup size
X-bar / R ChartsStep 4 – Interpret both charts for statistical control
1. Consider variation 1st
1. If R chart is out of control, the control limits on the X-bar chart are not valid
2. All tests for statistical control apply to the X-bar chart
1. Points beyond the limits, number of runs & length of runs tests apply to the R chart
X-bar / R ChartsStep 5 – Calculate the process standard deviation, if appropriate
1. If the R chart is in statistical control, the process standard deviation (s) is:
1. s = Rbar/d21. d2 is a control chart constant that depends
on subgroup size
Control chart constants
X-bar / R ChartsPatterns suggesting a nonrandom process…
A “Run Test”: Checks for patterns in a sequence of observations
Helps an analyst detect abnormalities and provides insight into correcting an out-of-control process
Other indications: Runs Hugging Cycles are similar to
Periodocity
Quality Control in SimQuick
Example 23: A Quality Control Station Go through together
Example 24: A Machine with Breakdowns Homework for Thursday For “Sheets” buffer, use…▪ Capacity = 200▪ Initial # objects = 200
NOTE! New SimQuick Info Resources: Resources that this Work
Station needs in order to work To find: Main Menu Other Features
Resources Useful in modeling situations where:▪ 1 person is operating several machines▪ A machine has several setup configurations▪ Several other situations
Assigned to Work Stations in the corresponding tables
Examples…
QC @ McDonald’s http://www.youtube.com/watch?v=kPv2ii
JA-ok&feature=related Ikea QC Commercial
http://www.youtube.com/watch?v=kP9PZYjVwUo&feature=related
Toyota QC after recalls http://www.youtube.com/watch?v=2C-w
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