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Course Outline no. 311 .
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Reliability for Product Quality

Course No. 311

(Course Outline shown below.)

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.

Certificate Programs  This course may be used as an elective for any TTi specialist certificate 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 a course workbook, including most of the viewgraphs used in the course presentation.

Course Hours, Certificate and CEUs  Open courses meet seven hours per day. Upcoming presentation dates can be found on our current open course schedule. 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.

Course Outline No. 311

• Basic Concepts
  • Reliability, Availability, Maintainability
  • Durability
  • Engineering and Management Tasks
  • Quality
  • Conceptual Models for Failure
  • Applying the Concepts to Failure Classification
• Reliability-Quality
  • Responsibility
  • Incentive Rule
  • Real Boundaries
  • Concept of Control
  • Investment Payback
  • Management function
  • Conceptual Models
  • Beginning Early
• The Reliability Discipline
  • Organizing Knowledge about User Needs
  • Setting R&M Goals and Requirements
  • Planning R&M Programs
  • Avoiding and Eliminating Risks
• Improving Reliability
  • Elements of the System-Acquisition Process
  • Kinds of redundancy
  • Closed-loop corrective action system
• Reliability Program—Management, Engineering Tasks—MIL Standard 785
• Conceptual Models for Failure Analysis
  • Failure budgeting
  • Tolerance Analysis
  • Failure Mode Effects and Criticality Analysis (bottom-up process)
  • Fault Trees (top-down analysis)
  • Manage Reliability-Critical Parts and Situations
• Reliability Testing
  • Accelerated Testing
  • Environmental Stress Screening (ESS)
  • Reliability and Safety Improvement
  • Life (Attribute) Testing
  • Introduction to MIL Standard 781
  • Relationships outside R&M
  • Manage Vendors and Subcontractors
  • Assure Quality of Conformance
• Probability/Statistics
  • Meanings of Probability
  • Probability vs Statistics
  • s-Event Space and Venn Diagrams
  • Proving a Conceptual Model
  • Probability notation and rules
  • Glossary of terms used in statistical distributions
    • Standard Deviation (s)
    • Variance
    • s-confidence
• Distributions
  • Concepts for populations and distributions
  • Probability distributions (PrDs)
  • Binomial distributions and graph
  • Poisson
  • Exponential
  • Gaussian Distribution
  • Chi-Square (c²)
  • Chi-Square-Nu (c²n)
  • Student's t-distribution
  • Weibull
  • Lognormal
  • Beta
  • Gamma
• Goodness of fit, Kolmogorov-Smirnov (K-S) Limits
  • Goodness of fit tests
  • Kolmogorov-Smirnov (K-S) Limits, Example
  • Pump Data Set, s-normal distribution
• Summary, Final Exam
• Award of Certificates for Successful Completion

Printable (.pdf) version of course outline no. 311 ( Adobe Acrobat Reader required).

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