CODE 94679 ACADEMIC YEAR 2025/2026 CREDITS 6 cfu anno 3 INGEGNERIA GESTIONALE 10716 (L-9) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-IND/17 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW The course provides students with the conceptual and operational tools to understand and govern quality in industrial systems, understood as a socio-technical management system, and not merely as a control activity or regulatory compliance. The course addresses quality as a lever for process governance, variability reduction, continuous improvement, risk management e managerial decision support, highlighting the interactions among the technological, organisational, economic, and human dimensions. Special attention is devoted to the integration of quality and safety, presented as coherent prevention and improvement systems, fundamental for the competitiveness, reliability and sustainability of production systems. The course prepares students to operate effectively in contemporary industrial environments and provides a solid foundation for the State Examination for first-level Industrial Engineering. AIMS AND CONTENT LEARNING OUTCOMES The course illustrates the main aspects of quality management within production processes with particular focus on manufacturing processes and aims to provide students with the statistical and methodological bases to be able to implement a statistical process control, to measure and improve the quality of processes and products. AIMS AND LEARNING OUTCOMES By the end of the course, students will be able to: understand the evolution of the quality concept and its role in modern industrial systems; analyse production processes, identifying critical issues, variability and improvement opportunities; apply the main basic quality tools for industrial problem solving; use quality and performance indicators to support operational and managerial decisions; understand the structure and logic of quality and safety management systems; interpretare la qualità come strumento di prevenzione, affidabilità e risk management; communicate quality problems and solutions clearly and in a structured manner in organisational contexts. PREREQUISITES There are no specific requirements. TEACHING METHODS The course is structured over 10 weeks of classes, with: interactive lectures; guided exercises and case study discussion; use of multimedia materials and real data; integration between the Quality module and the Quality & Safety module. Attendance is recommended. Classes are held in Italian with the support of slides (supplementary material may also be available in English). SYLLABUS/CONTENT PROGRAMME / CONTENT (Quality module only) Week Title Focus 1 Introduzione alla Quality of Industrial Systems Evolution of the quality concept and its role in production systems 2 Quality as a socio-technical system Culture, organisation and leadership 3 Processes, standardisation and variability Process approach and control fundamentals 4 Basic quality tools Seven tools, problem solving and root cause analysis 5 Statistical process control SPC, capability and managerial interpretation 6 Quality and performance indicators KPIs, cost of quality and decision support 7 Quality management systems ISO 9001 as an organisational model 8 Continuous improvement PDCA, Lean, Kaizen and Six Sigma (introduction) 9 Quality, risk and reliability Risk-based thinking and prevention 10 Quality and managerial decisions Integrated cases, synthesis and exam preparation PROGRAMME / CONTENT (Safety module only) Week Title Focus 1 Industrial safety and regulation Regulatory framework (Legislative Decrees, EU Directives, Technical Standards), EHS roles and responsibilities, Safety Management Systems (SMS) 2 Applied aspects of safety Risk assessment methodologies: FTA, ETA, FMEA, FMECA, HAZOP and preparation of the Risk Assessment Document 3 Preventive and protective measures Collective and individual measures, reliability parameters (MTTF, MTTR, MTBF), SIL and Performance Level (PL) 4 Safe design of plants and machinery Applicable European Directives: Machinery, Low Voltage, EMC, ATEX, PED and fire prevention 5 Machinery risk assessment Hazard identification, risk estimation, reduction techniques (safety barriers, three-step method) and risk weighting 6 Technical solutions for hazard source reduction Structural factors, ergonomics, stability, maintainability, electrocution reduction and types of barriers 7 Risk reduction Integrated design measures (electrical, pneumatic, hydraulic, automation), guards and protective devices, residual risk 8 Risk estimation methods Risk factors, estimation methodologies and applied risk assessment cases 9 Safety-related control systems Reference technical standards, design for safety functions, PLr determination, fault analysis and useful life (mission time) 10 Technical File documentation Compilation of the Technical File, Information Manual, SIL assignment (severity, frequency, probability, avoidability) and PL-SIL correlation RECOMMENDED READING/BIBLIOGRAPHY Course slides. For further reading: Articles and case studies provided by the instructor Montgomery, D.C., Introduction to Statistical Quality Control, Wiley Juran, J.M., Juran on Quality by Design, McGraw-Hill ISO 9001:2015 – Quality management systems (riferimento concettuale) TEACHERS AND EXAM BOARD FLAVIO TONELLI Ricevimento: On appointment at least 3 days of advice. FT Exam Board FLAVIO TONELLI (President) LUCIA CASSETTARI LESSONS LESSONS START https://corsi.unige.it/8731/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Written exam with an optional oral interview. The exam aims to assess: understanding of fundamental concepts; the ability to connect quality, processes, indicators and decisions; correct use of technical terminology. Students with disabilities or learning disorders may request compensatory measures according to the procedures established by the University. In-person exam at the instructor\'s office at Via All\'Opera Pia 15. Grade registration will take place on the scheduled online registration dates available in the WebCalendario Esami system. Students with disabilities or learning disorders may request compensatory/dispensatory measures for the examination. The specific arrangements will be defined on a case-by-case basis together with the Engineering Referent of the University Committee for the support of students with disabilities and learning disorders. Students wishing to make such a request are invited to contact the course instructor well in advance, copying in the Engineering Referent (https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.html)* without submitting documents regarding their disability. ASSESSMENT METHODS The oral examination assesses the ability for critical reasoning, integration of concepts, and application of quality methods to industrial contexts. Exam schedule Data appello Orario Luogo Degree type Note 17/06/2026 10:00 GENOVA Scritto 30/06/2026 10:00 GENOVA Scritto 14/07/2026 10:00 GENOVA Scritto 08/09/2026 10:00 GENOVA Scritto FURTHER INFORMATION Ask the professor for other information not included in the teaching schedule.
