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QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

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21 June, 1999 1 • EVOLUTION OF QUALITY MANAGEMENT/SYSTEMS • MIL-Q-9858 (9 April 1959) • 1960’s and 1970’s •“IF JAPAN CAN, WHY CAN’T WE ?” • 1987 • ADVANCED PRACTICES AND SYSTEMS • SIX SIGMA AND ITS DIRECTIVES
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Page 1: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 1

• EVOLUTION OF QUALITY MANAGEMENT/SYSTEMS• MIL-Q-9858 (9 April 1959)• 1960’s and 1970’s•“IF JAPAN CAN, WHY CAN’T WE ?”• 1987• ADVANCED PRACTICES AND SYSTEMS• SIX SIGMA AND ITS DIRECTIVES

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21 June, 1999 2

• Historical Perspective* Craftsmanship* Industrial Revolution* Taylor System

• Inspection Departments• Statistical Quality Control (SQC)

* Probability and Sample Inspection* Shewhart Control Charts

• World War II and the Quality Movement

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1.2 Contractual IntentThis specification requires the establishment of aquality program by the contractor to assure compliancewith the requirements of this contract. The program and procedures used to implement this specificationshall be developed by the contractor.

• QUALITY PROGRAM MANAGEMENT• FACILITIES AND STANDARDS• CONTROL OF PURCHASES• MANUFACTURING CONTROL• COORDINATED GOVERNMENT/CONTRACTOR ACTIONS

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21 June, 1999 4

• Ship --- ship --- ship

• Quality Assurance* Quality Engineering* Quality Control* Metrology* Failure Analysis

• The good practices are dying

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21 June, 1999 5

• Chain Reaction: Quality, Productivity, Lower costs, Capture the Market

• U.S. losing: TV’s, camera’s, IC’s, steel, textiles, shoes, automobiles, etc.

Page 6: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 6

ABCD

Suppliers ofmaterials and equipment

Receipt andtest of materials

Production, assembly, inspection

Distribution

Design andredesign

Consumer research

Consumers

“Out of The Crisis”, W. Edwards Deming, 1982

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21 June, 1999 7

DemingJuranCrosbyFeigenbaumIshikawa

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• THE DOD AND TOTAL QUALITY MANAGEMENT (TQM)

• MALCOLM BALDRIGE NATIONAL QUALITY AWARD

• ISO 9000 INTERNATIONAL QUALITY STANDARDS

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21 June, 1999 9

Quality

Productivity

Lower Costs

Stay in Business

•Deming’s 14 Points• Crosby - “Quality is Free”• Juran - Breakthrough Quality• Xerox - Benchmarking• Taguchi - Loss Function • Motorola - Six sigma

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21 June, 1999 10

THE EARLY DAYS OF MOTOROLA’S SIX SIGMA

Q Q Q

1/1/87 1/1/89 1/1/91

10X

100X

Key Goals• Increased Global Market Share• Best-in-Class

* people* marketing* manufacturing* technology*product/service

Page 11: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 11

• Six Sigma• Total Cycle Time Reduction• Product and Manufacturing Leadership• Profit Improvement• Participative Management within, and Cooperation between Organizations

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• Sigma is a measure of “goodness: the capability of a process to produce perfect work.

• A “defect” is any mistake that results in customer dissatisfaction.

• Sigma indicates how often defects are likely to occur.

• The higher the sigma level, the lower the defect rate.

• The lower the defect rate, the higher the quality.

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• Sigma allows comparison of products and services of varying complexity on an apples to apples basis.

• Also, it provides a common basis for benchmarking (competitors and non-competitors).

• The higher the sigma level, the better your operation is performing.

• Sigma measures how well you’re doing in getting to zero defects.

Page 14: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 14

Number of defects per million opportunities for error

Associatedsigma level

66,810 3.0

22,750 3.5

6,210 4.0

1,350 4.5

233 5.0

32 5.5

3.4 6.0

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21 June, 1999 15

1,000,000

100,000

10,000

1,000

100

10

12 3 4 5 6 7

AverageCompany

Best-in-Class

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Step1: Identify the product you create or the service you provide.

Step2: Identify the Customer(s) for your product or service and determine what they consider important.

Step3: Identify your needs (to provide product/service so that it satisfies the Customer).

Step4: Define the process for doing the work.

Step5: Mistake-proof the process and eliminate wasted effort.

Step6: Ensure continuous improvement by measuring, analyzing, and controlling the improved process.

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21 June, 1999 17

Human Resources: reduce the number of requisitionsunfilled after 30 days.

Customer Service: measure the number of calls answered on the first ring.

Engineering Support: reduce the number of schematics returned because of drafting errors

Order Fulfillment: eliminate Customer returns because ofincorrect parts or product being shipped.

Finance: reduce the instances of accounts being paidafter a specified time limit has elapsed.

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68.26 percent

95.46 percent

99.73 percent

MM74

Page 19: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 19

Page 20: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 20

u-6 u-5 u-4 u-3 u-2 u-1 s u u+1 u+2s u+3 u+4 u+5 u+6 68.26%

95.44%

99.73%

99.993%

99.999943%

99.999998%

Page 21: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 21

•Craftsmenself-inspection

•Inspection Departments

•Mil Q 9858 AQuality Program

•ISO 9000 International Quality Standards

•Automotive Ind. QS 9000

•Aerospace Ind. AS 9000

•Boeing AQS D1 9000

•Japanese Deming Award

•Malcolm BaldrigeNational Quality Award

•UK Quality System BS 5750

Product and Service Excellence

•Motorola’s Six Sigma

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21 June, 1999 22

• IPPD/IPT• Quality Function Deployment (QFD) • Robust Design• Design of Experiments (DOE) • Failure Mode and Effects Analysis(FMEA)• Design for Manufacturing and Assembly (DFMA)• Loss Function• Key Characteristics• Measurement System Analysis• Variability Reduction • Statistical Process Control• Process Capability• Lean Manufacturing• Cost of Quality•Geometric Dimensioning and Tolerancing

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• LEADERSHIP COMMITMENT* Time* Effort* Resources

• MANAGING WITH DATA* Design-measure-analyze-improve-control

• TRAINING AND CULTURAL CHANGES* Integrated business strategy* Impact on career paths

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21 June, 1999 24

• Core and enabling processes

• Process 0wners

• Metrics

• Accelerated improvement cycle time

Page 25: QUALITY MANAGEMENT/SYSTEMS and SIX SIGMA

21 June, 1999 25

• Reengineering

• Benchmarking

• Problem solving

• Team leader/facilitator

• Statistical tools


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