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Chapter 5 Quality. Learning Objectives. Be Able to Apply Concepts in Learning Goals Determine Product Reliability Construct and Interpret Control Charts Determine Process Capability Be Able to Use Equations Listed in End of Chapter Equation Summary. Continuous improvement.
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Learning Objectives • Be Able to Apply Concepts in Learning Goals • Determine Product Reliability • Construct and Interpret Control Charts • Determine Process Capability • Be Able to Use Equations Listed in End of Chapter Equation Summary
Continuous improvement Employee involvement Customer satisfaction TQMWheel
Product/service design Process design Continuous improvement Employee involvement Customer satisfaction Problem-solving tools Purchasing Benchmarking TQMWheel
Customer-DrivenDefinitions of Quality • Conformance to Specifications • Value • Fitness for Use • Support • Psychological Impressions
The Costs of Poor Quality • Prevention Costs • Appraisal Costs • Internal Failure Costs • External Failure Costs
EmployeeInvolvement • Cultural Change • Teams • Individual Development • Awards and Incentives
Plan Act Do Check Deming Wheel
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n rs = (0.99)(0.90)(0.85) = 0.76
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n rs = (0.99)(0.90)(0.85) = 0.76
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n rs = (0.99)(0.95)(0.90) = 0.85
Reliability Product reliability rs= (r1)(r2) . . . (rn) where rs = reliability of the complete product n = number of subsystems rn = reliability of the subsystem or component n rs = (0.99)(0.95)(0.90) = 0.85
QualityFunctionDeployment The House of Quality
QualityFunctionDeployment Voice of the Customer
QualityFunctionDeployment Competitive Analysis Voice of the Customer
QualityFunctionDeployment Voice of the Engineer Competitive Analysis Voice of the Customer
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer Correlations
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer Correlations
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer Correlations Technical Comparison
QualityFunctionDeployment Trade-offs Voice of the Engineer Competitive Analysis Voice of the Customer Correlations Technical Comparison
Benchmarking • Planning • Analysis • Integration • Action
Data Analysis Tools • Checklists • Histograms and Bar Charts • Pareto Charts • Scatter Diagrams • Cause-and-Effect Diagrams • Graphs
Wellington Fiber Board Co. Tools for Improving Quality • Step 1—Checklist • Step 2—Pareto chart • Step 3—Cause-and-effect diagram • Step 4—Bar chart
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric B. Discolored fabric C. Broken fiber board D. Ragged edges Total
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric B. Discolored fabric C. Broken fiber board / D. Ragged edges Total
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric B. Discolored fabric C. Broken fiber board // D. Ragged edges Total
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric / B. Discolored fabric C. Broken fiber board // D. Ragged edges Total
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric / B. Discolored fabric C. Broken fiber board // D. Ragged edges / Total
Wellington Fiber Board Co. Checklists Headliner Defects Defect type Tally Total A. Tears in fabric //// 4 B. Discolored fabric /// 3 C. Broken fiber board //// //// //// //// //// //// //// / 36 D. Ragged edges //// // 7 Total 50
Pareto Chart 50 40 30 20 10 0 100 80 60 40 20 0 Cumulative percentage Number of defects Defect type Wellington Fiber Board Co.
50 40 30 20 10 0 100 80 60 40 20 0 C Cumulative percentage Number of defects D A B Defect type Wellington Fiber Board Co. Pareto Chart
50 40 30 20 10 0 100 80 60 40 20 0 C Cumulative percentage Number of defects D A B Defect type Wellington Fiber Board Co. Pareto Chart
People Materials Training Absenteeism Communication Out of specification Not available Broken fiber board Machine maintenance Machine speed Wrong setup Humidity Schedule changes Other Process Wellington Fiber Board Co. Cause-and-Effect Diagram
Wellington Fiber Board Co. 20 15 10 5 0 Bar Chart Number of broken fiber boards First Second Third Shift
Mean Process distribution 425 Grams Sample Means and the Process Distribution
Mean Distribution of sample means 425 Grams Sample Means and the Process Distribution Process distribution
Control Charts UCL Nominal LCL
Control Charts UCL Nominal LCL 1 2 3 Samples
Control Charts UCL Nominal LCL 1 2 3 Samples
Control Charts UCL Nominal LCL Assignable causes likely 1 2 3 Samples
Using Control Charts for Process Improvement • Measure the process • When changes are indicated, find the assignable cause • Eliminate problems, incorporate improvements • Repeat the cycle
Control Chart Examples UCL Nominal Variations LCL Sample number
Control Chart Examples UCL Nominal Variations LCL Sample number
Control Chart Examples UCL Nominal Variations LCL Sample number
Control Chart Examples UCL Nominal Variations LCL Sample number
Control Chart Examples UCL Nominal Variations LCL Sample number