311 Product Quality Techniques
For whom intended Program/Project Managers and Engineers, Design Engineers, Quality and Reliability Engineers and Technicians.
Applications Advanced electronic assemblies for NASA, the US Department of Defense and leading industrial manufacturing companies were subjected to an extensive reliability improvement effort during the past decade. This effort included the development of innovative reliability test techniques. The overall approach resulted in dramatic improvements in reliability. This approach can be utilized during the development and acquisition of any complex equipment produced for government or commercial application.
Purpose To provide personnel involved in Product Design, Quality, Manufacturing and Testing an understanding of that engineering discipline called "Reliability Engineering."
Brief Course Description While the Reliability discipline has traditionally focused on a mathematical approach, our instructor has many years experience and approaches reliability from a more "hands on" common-sense direction. The statistical methods are covered with reference to practical considerations. The course defines and explains the numerous terms used in reliability.
The course will provide the attendee with an understanding of the application of reliability techniques.
Lectures, illustrated with transparencies, present an overview of the reliability process.
Diploma Programs This course may be used as an optional course for any TTi specialist diploma program.
Prerequisites There are no definite prerequisites for this course, but it is assumed that course participants are actively employed in reliability related fields.
Text Each student will receive 180 days access to the on-line electronic course workbook. Renewals and printed textbooks are available for an additional fee.
Course Hours, Certificate and CEUs Class hours/days for on-site courses can vary from 14-35 hours over 2-5 days as requested by our clients. Upon successful course completion, each participant receives a certificate of completion and one Continuing Education Unit (CEU) for every ten class hours.
Click for a printable course outline (pdf).
Course Outline
Chapter 1 - Basic Concepts
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Reliability, Availability, Maintainability
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Durability
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Engineering and Management Tasks
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Quality
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Conceptual Models for Failure
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Applying the Concepts to Failure Classification
Chapter 2 - Reliability-Quality
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Responsibility
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Incentive Rule
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Real Boundaries
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Concept of Control
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Investment Payback
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Management function
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Conceptual Models
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Beginning Early
Chapter 3 - The Reliability Discipline
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Organizing Knowledge about User Needs
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Setting R&M Goals and Requirements
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Planning R&M Programs
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Avoiding and Eliminating Risks
Chapter 4 - Improving Reliability
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Elements of the System-Acquisition Process
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Kinds of redundancy
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Closed-loop corrective action system
Chapter 5 - Reliability Program—Management, Engineering Tasks—MIL Standard 785
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Task 101 Reliability Program Plan
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Task 102 Monitor/Control of Subcontractors and Suppliers
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Task 103 Program Reviews
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Task 104 Failure Reporting, Analysis and Corrective Action System (FRACAS)
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Task 105 Failure Review Board (FRB)
Chapter 6 - Reliability Program: Engineering Tasks
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MIL-STD-785B, Section 200
Chapter 7 - Conceptual Models for Failure Analysis
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Types of Analysis
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Fish-Bone (Ishikawa) diagram
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Tolerance analysis
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Failure Mode, Effects and Criticality Analysis(FMECA, or FMEA)
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Fault-Tree Synthesis and Analysis
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Failure Budgeting
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Take Action about Actual Failures
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Test-fix-test process
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Data Collection
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Database Difficulties
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Accelerated Service Tests
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Difficulties in accelerated testing
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Developmental Tests
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Operational Tests
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Reliability Growth
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Maintainability
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Corrective Action
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Manage Reliability-Critical Parts and Situations
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Computer-Aided Engineering
Chapter 8 - Reliability Testing
Chapter 9 - Probability/Statistics
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Meanings of Probability
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Probability vs. Statistics
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Reserved Words (Jargon)
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s-Event Space and Venn Diagrams
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Statistical Significance (s-Significance)
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Hypothesis testing
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Nomenclature for Types of Variation
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Common Cause Variation
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Special Cause Variation
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Proving a Conceptual Model
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Probability Notation and Rules
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Standard Deviation (s)
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Variance
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s-Confidence
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Stopping Rule for a Test
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Greek Letter Symbols
Chapter 10 - Statistical Distributions
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There is nothing magic about ANY of the distributions.
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Concepts for Populations and Distributions
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Probability Distributions (PDs)
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Exponential Distribution
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Naming Probability Distribution Functions
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Reference section (material not covered in classroom presentation)
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Binomial Distribution
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Poisson Distribution
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Gaussian (s-Normal) Distribution
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Parameter Estimation, Uncensored Samples
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Chi-Square (χ2) Distribution
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Table: Percentiles of Cumulative Chi-Square (χ2) Distribution Function (csqf)
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Chi-Square/Nu (χ2/ν) Distribution
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Student’s t-Distribution
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Fisher-Snedecor F-Distribution
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Weibull Distribution
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Lognormal Distribution
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Beta Distribution
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Gamma Distribution
Appendix A - MIL-HDBK-217E
Appendix B - MIL-STD-781D
Appendix D - Goodness-of-Fit Tests
- Goodness of Fit Tests
- Chi-square Goodness-of-fit
- Kolmogorov-Smirnov (K-S) Limits
Appendix E - Statistical Confidence Limits
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Standard Deviation of a Normal (Gaussian) Distribution from the sample “s” statistic
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Mean of a Poisson Process
Summary, Final Review
Award of Certificates for Successful Completion
Click for a printable course outline (pdf).