QUALITY MANAGEMENT
Stampa
Enrollment year
2019/2020
Academic year
2021/2022
Regulations
DM270
Academic discipline
ING-IND/17 (INDUSTRIAL AND MECHANICAL PLANT)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
INDUSTRIAL ENGINEERING
Curriculum
Energia
Year of study
Period
2nd semester (07/03/2022 - 17/06/2022)
ECTS
6
Lesson hours
45 lesson hours
Language
Italian
Activity type
WRITTEN AND ORAL TEST
Teacher
BETTANTI ALBERTO (titolare) - 6 ECTS
Prerequisites
Basic knowledge of Management and Organization
Learning outcomes
The course aims at providing to students: basics of enterprise organisation related to quality management; techniques, most used in enterprise, concerning design of quality, quality control applied to production processes, products/services, measurement equipment; main topics on quality management practices in accordance to international standard.
Course contents
Course introduction:
The enterprise and the historical evolution of organizational theories and quality notion.

The enterprise frame work:
• organizational structures, business targets and stakeholders, value chain analysis;
• historical evolution of quality techniques, non-quality costs analysis, Juran’s and Taguchi’s models.

Quality Design:
• Statistical insight to enterprise quality control: frequency distribution tabulation and charts, statistical descriptive indicators, population and sample, Central Limit Theorem, go-backs on probability theory;
• Design techniques of new products/services development: QFD (Quality Function Deployment), DFMEA (Design Failures Modes and Effect Analysis), FTA (Fault Tree Analysis).

Quality control:
• Statistical quality control of production processes: tolerances and capacity (PCR, Cpk and quality defectiveness in p.p.m.), Statistical Process Control (SPC) techniques, bar charts, cause-effect diagrams, interrelation diagrams, Pareto’s diagrams, variables and attributes control chart;
• Statistical control of products/services quality: confidence ranges esteem for the median and other expectation distributions for populations of unknown distribution forms;
• Statistical control of measurement equipments: calibration and uncertainty determination;
• Products/services reliability.

Quality Management:
• Technical standards on quality management systems.
Teaching methods
Lectures (hours/year in lecture theatre): 45
Practical class (hours/year in lecture theatre): 0
Practicals/Workshops (hours/year in lecture theatre): 0
Reccomended or required readings
A. Bettanti. Il controllo e la gestione in azienda. MG Editori, Milano, 2004.
Assessment methods
A written examination shall be undertaken by students. Students passing the written examination shall go through to a final oral exam.
Further information
Sustainable development goals - Agenda 2030