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Short-Run SPC for Manufacturing and Quality Professionals book cover

1st Edition

Short-Run SPC for Manufacturing and Quality Professionals

By William A. Levinson Copyright 2023
98 Pages 50 B/W Illustrations
by Productivity Press

98 Pages 50 B/W Illustrations
by Productivity Press

98 Pages 50 B/W Illustrations
by Productivity Press
Also available as eBook on:
On the manufacturing shop floor, the principle of "value comes from the production of parts rather than charts" crucially applies when using practical statistical process control (SPC). The production worker should need to enter only a sample’s measurements to get immediately actionable information as to whether corrective action (e.g., as defined by a control plan’s reaction plan) is necessary... Read more

Preface *

About the Author

Introduction *

Chapter 1. PRE-Control *

Two-Sided Tolerance; Nominal is Best *

Process Qualification *

Process Monitoring *

Go/No-Go Gages *

Producer's and Consumer's Risks *

One-Sided Specification Limits *

One-Sided Specification Limit; More is Better *

One-Sided Specification Limit; Less is Better *

Shop Floor Spreadsheet *

Spreadsheet for Less is Better *

Summary: PRE-Control *

Chapter 2. Introduction to Short Run SPC *

Limitation to Normally-Distributed Processes *

Deviation from Nominal (DNOM) Method; Single Quality Characteristic *

Chart for Process Variation *

Example; Chart for Individuals *

Deployment to the Shop Floor *

Charts for Samples *

Probabilistic Control Limits for Variation *

Standardized Range Chart *

Summary: Short Run SPC, Single Quality Characteristic *

Chapter 3. Cumulative Sum (CUSUM) Chart *

CUSUM, EWMA, and Integral Process Control *

Integral Control *

CUSUM *

Tabular CUSUM *

Decision Interval and K *

Tabular CUSUM in Excel *

Tabular CUSUM for Samples *

Cuscore *

CUSUM versus Cuscore *

EWMA Charts *

EWMA for Individuals *

Selection of Method: Traditional SPC, CUSUM, or EWMA? *

Average Run Length, Traditional SPC *

Average Run Length, CUSUM *

Average Run Length, EWMA *

Summary *

Chapter 4. Charts for Multiple Nominals *

Parts with Different Nominals *

Practical Consideration: Number of "Tools" *

Parts with Multiple Characteristics, Same Variation *

Parts with Multiple Characteristics and Different Variations *

Group Charts *

The Group Chart *

Summary *

Chapter 5. Acceptance Control Charts *

Bibliography *

Biography

William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He holds degrees in chemistry and chemical engineering from Penn State and Cornell Universities, and night school degrees in business administration and applied statistics from Union College, and he has given presentations at the ASQ World Conference, TOC World, and other national conferences on productivity and quality.

Levinson is also the author of several books on quality, productivity, and management. Henry Ford's Lean Vision is a comprehensive overview of the lean manufacturing and organizational management methods that Ford employed to achieve unprecedented bottom-line results, and Beyond the Theory of Constraints describes how Ford's elimination of variation from material transfer and processing times allowed him to come close to running a balanced factory at full capacity. Statistical Process Control for Real-World Applications shows what to do when the process doesn't conform to the traditional bell curve assumption.

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