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Politecnico di Torino
Academic Year 2015/16
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Quality Management
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 - Mondovi'
1st degree and Bachelor-level of the Bologna process in Mechanical Engineering - Torino
Espandi...
Teacher Status SSD Les Ex Lab Tut Years teaching
Galetto Maurizio ORARIO RICEVIMENTO O2 ING-IND/16 40 20 0 0 18
SSD CFU Activities Area context
ING-IND/16 6 D - A scelta dello studente A scelta dello studente
Subject fundamentals
The course covers a broad range of methods and techniques relevant to the design, analysis, development, implementation of quality management principles within modern manufacturing and service enterprises.
Expected learning outcomes
At the end of the course the student will be able to integrate into application contexts where the main techniques for Quality Management and Process Control (SPC) are implemented.
Prerequisites / Assumed knowledge
Basic knowledge of Mathematics, Applied Statistics, and Manufacturing Technologies are required.
Contents
1. Preliminary concepts
Quality Terminology.
An historic overview of Quality methodology.
Quality in design and production.
Prevention, inspection, scraps and field interventions.
ISO 9000 standards.
2. Quality in design
Quality Function Deployment (QFD).
Customer Requirements, Technical Characteristics and Relationship Matrix.
The prioritization of Technical Characteristics.
Competition Driven Design: Q-bench algorithm.
FMEA (Failure Modes and Effects Analysis).
Quality costs.
3. Statistical Process Control (SPC)
Fundamentals of statistical methods for Quality.
Variability and natural tolerances of a process.
Sum of tolerances.
Control charts for variables and attributes.
The OC curve of a control chart.
Process capability analysis.
Acceptance sampling.
Lot by lot acceptance sampling by attributes.
The OC curve of an acceptance plan.
Acceptance sampling by variables.
MIL STD 105E and MIL STD 414 standards.
Delivery modes
The central topics of the course will be illustrated through exercises, experiments, and case studies.
Texts, readings, handouts and other learning resources
Franceschini F. (2001), Advanced Quality Function Deployment, St. Lucie Press, Boca Raton FL, USA.
Montgomery D.C. (2008), Introduction to Statistical Quality Control. 6th Ed., John Wiley & Sons, New York NY, USA.
Assessment and grading criteria
The exam consists of a written test, lasting two hours, without the aid of notes or books. The aim is to test the understanding of the concepts covered in the course and their application in specific operational cases. The test consists of 4 questions, which may include both theoretical issues and exercises, concerning arguments drawn from the entire program. Each question allows for a maximum of 8 points. Sufficiency is achieved with a minimum total score equal to 18.

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