Gestione Industriale della Qualità
Industrial quality management Mohamad El Mehtedi
Knowledge on fundamental aspects concerning the most common manufacturing processes for goods and services, statistics data analysis and probability.
KNOWLEDGE AND UNDERSTANDING:
The course intends to acquire the skills to analyse in detail important items of a quality management system as a manufacturing enterprises or services. This knowledge, by integrating the knowledge acquired in the courses of technologies and production systems, probability and mathematical statistics, programming and production control, industrial plants and industrial logistics, will form the insights that will enrich the knowledge of quality management in the manufacturing sector, so that the student acquires a clear awareness of the wider multidisciplinary context of engineering, with a clear reference to the aspects strictly connected with the tools for the quality control of processes and products in production systems.CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
In order to address design and advanced management issues, even of considerable complexity, and treat the innovation and development of new products, technological processes and production systems through the application of knowledge, the student must acquire the ability to apply and use statistical tools for quality industrial control. This ability is expressed through a number of vocational skills, such as: 1. the ability to choose the design techniques in perspective quality of a product/service (FMEA, QFD and others); 2. understanding of principles and measurement methods of quality in manufacturing systems; 3. the ability to apply and implement the basic concepts provided by the reference standard for Quality (ISO 9000 and 14000); 4. the ability to design appropriate tools for statistical control of manufacturing processes and the design of control plans for acceptance and testing trials.TRANSVERSAL SKILLS:
The acquisition of methodological competencies through the resolution of individual and group exercises, including of a multidisciplinary nature, carried out in the classroom will help to improve both the capacity to learn autonomously and the degree of independent judgment, both the communication skills that also stems from teamwork.
The meaning of Quality and Quality Improvement. A brief history of Quality control and improvement. The ISO 9001:2008/15 specific terminology. The concept of quality products and related industrial practices. Methods and philosophy of engineering process control and SPC. FMEA analysis and QFD. The six-Sigma tool applied for product and process. Control Charts for variable and for attributes and guidelines for implementing control Charts. Process and measurement system capability analysis, estimating the Natural Tolerance limits of a process. Factorial and fractional factorial experiments for process design and improvement. Lot-by-Lot acceptance sampling for attributes, the acceptance-sampling problem (Single, double, multiple and sequential Sampling Plans).
Development of the examination
LEARNING EVALUATION METHODS
The exam consists in written and oral tests. In the written one, the student must answer four/five questions chosen among the topics of the course. It will also be required to solve practical cases related to complex problems. The oral exam will prove the level of knowledge showed in the written test.
LEARNING EVALUATION CRITERIA
The student has to demonstrate to have an excellent command of the real meaning of the Quality and be able to autonomously deal with the application of the main tools used in the Industrial Quality Management. Aspects, such as the mastery of technical language and clarity of exposition, will also be assessed. Finally, the ability to properly use the acquired knowledge in solving complex problems must be proven.
LEARNING MEASUREMENT CRITERIA
The ability to independently deal with the topics of the course by applying the models, methods and tools in analysing features related to the industrial Quality management, the clarity of exposition, the mastery of technical language are evaluated.
FINAL MARK ALLOCATION CRITERIA
The final grade will be assigned considering the evaluation obtained in both tests. The minimum score, equal to eighteen points, will be achieved by the students who demonstrate sufficient capacity to answer to all the questions raised. The maximum grade, equal to thirty points with honors, will be given to students who have proven full mastery of the topics, exposed in full autonomy and with appropriate technical language.
D. C. Montgomery, Introduction to statistical Quality Control, Wiley.
F. Franceschini, M. Galetto, Esercizi di gestione industriale della qualità, Celid.
Slides of the lectures are available on the Moodle platform of the Polytechnic University of Marche.
- Ingegneria Gestionale (Corso di Laurea Magistrale Fuori Sede (DM 270/04))