38378 - Reliability and Quality Control

Academic Year 2019/2020

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Computer Engineering (cod. 0926)

Learning outcomes

Fundamentals of quality control and reliability

Course contents

Requirements/Prior knowledge

A prior knowledge and understanding of the basic course od mathematics and physics is warmly recommended to attend with profit this course

Course Contents

Fundamentals of Probability and Statistics; fundamentals of metrology; definitions in the field of Reliability; Availability and Reliability functions, MTTF, MTBF, MTTR, reliability of mission; hazard models, reliability analysis of components and systems; degradation models; FMEA, FMECA, FTA, accelerated and truncated life tests, exponential and Weibull functions. Statistical Process Control, control charts for variables (x, R, S) and attributes (p, c, u). Capability process index, ARL, ATS

The course includes numerical exercises on the main topics.

Readings/Bibliography

Suggested books:

  • Antonio Zanini, "Elementi di affidabilità", Progetto Leonardo (in italian)
  • Douglas C. Montgomery, "Introduction to Statistical Quality Control", John Wiley & Sons 

Teacher's notes.

Teaching methods

Lectures consisting in:

  • projection of slides
  • insights on the blackboard
  • numerical exercises

Assessment methods

Written test including a numerical exercise.

Teaching tools

Teaching materials is available on AMS Campus and accessible via password provided by the teacher.

Office hours

See the website of Roberto Tinarelli