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Politecnico di Torino
Academic Year 2015/16
01QFYNL, 01QFYJM, 01QFYMN, 01QFYNM, 01QFYQR
Quality management systems
1st degree and Bachelor-level of the Bologna process in Industrial Production Engineering - Torino/Athlone
1st degree and Bachelor-level of the Bologna process in Mechanical Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Mechanical Engineering - Torino
Espandi...
Teacher Status SSD Les Ex Lab Tut Years teaching
Maisano Domenico Augusto Francesco ORARIO RICEVIMENTO A2 ING-IND/16 40 20 0 0 8
SSD CFU Activities Area context
ING-IND/16 6 B - Caratterizzanti Ingegneria meccanica
Subject fundamentals
The course focuses on the major methodologies, good practices and tools for achieving Quality within industrial environments.
Expected learning outcomes
Knowledge of the major techniques for implementing Quality Management Systems, according to existing standards.
Mastery of tools and techniques to achieve Quality within industrial environments: FMECA (Failure Mode, Effects and Criticality Analysis), QFD (Quality Function Deployment), SPC (Statistical Process Control), etc..
At the end of the course, students will be able to operate in industrial environments in which Quality Management and SPC techniques are implemented.
Prerequisites / Assumed knowledge
Essentials of Mathematical Analysis, Statistics and Production Technologies
Contents
1. Preliminary concepts
Terms and definitions.
Introduction of Quality Management techniques in industry.
The importance of Quality in design and production.
Basic notions on Statistics

2. Quality in design
Offered, expected and perceived Quality.
Quality Function Deployment (QFD).
Customer Requirements, Technical Characteristics and Relationship Matrix.
Prioritization of the Technical Characteristics.
FMECA (Failure Mode, Effects and Criticality Analysis).
Quality Costs.

3. Statistical Process Control (SPC)
Introduction to statistical methods for Quality control.
Variability and natural tolerance of the process.
Variability propagation and the Delta method.
Control charts for variables and attributes.
Operating Characteristic (OC) curves relating to control charts.
Design and construction of control charts.
Process Capability Ratios (PCRs).
Theory of inspection and acceptance sampling plans.
Sampling plans for attributes.
OC curves relating to sampling plans.
Design of sampling plans for attributes
Delivery modes
Several classroom exercises concerning the topics covered in the course and an optional group-project about QFD and FMECA
Texts, readings, handouts and other learning resources
Apart from the course notes and documents distributed by the teacher, the following textbooks are recommended:
Franceschini F., Advanced Quality Function Deployment, St. Lucie Press/CRC Press LLC, Boca Raton, FL, 2002.
Montgomery D.C., Introduction to Statistical Quality Control, 7th Ed., J. Wiley, New York, 2012.
Assessment and grading criteria
The exam is based on a written test containing:
(i) exercises concerning SPC techniques;
(ii) theoretical open questions concerning the totality of the topics covered.

During the course, students will also be involved in an optional group-project about QFD and FMECA. In the case of positive evaluation, group members will gain a (1- or 2-point) "bonus" for the final examination score.

Programma provvisorio per l'A.A.2015/16
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