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

The course presents the main aspects of quality management within production processes with particular focus on manufacturing processes.  The main statistical control techniques of production processes are then analyzed and presented, with numerous application examples, in order to identify the main causes of deviation from the expected quality.

The learning outcomes for the student are:

- knowledge, understanding and application of statistical process control methodologies

- knowledge and understanding of possible approaches to quality improvement 

- knowledge of the rules governing quality management systems, the bodies involved and the certification process

TEACHING METHODS

The topics will be developed approximately on 12 weeks of frontal lessons divided into two days of lessons per week. The lessons will be held with the support of power point presentations and held in Italian.  

The course will include examples and exercises to be carried out independently or in groups that will require the use of simple automatic calculation tools (typically calculator) in order to allow the student to be able to use the statistical and methodological knowledge acquired in simple decision-making cases concerning the control of production processes.

Attendance is therefore recommended.

SYLLABUS/CONTENT

The evolution of the concept of Quality 
• The stages of historical development

Ishikawa's seven tools of quality:
• the data collection sheet;
• the histogram;
• the cause-and-effect diagram, or Ishikawa diagram;
• the Pareto diagram;
• analysis by stratification;
• correlation analysis (via scatter plot);
• the control card

Principles of statistics
• Sample theory
• Statistical inference and hypothesis testing
• Comparison between means and variances of populations

Statistical quality control
• Data types
• Types of sampling
• Structure and purpose of control charts
• Control charts for variables
• Control charts by attributes
• Sample size and sampling frequency
• Process capacity indices

The evaluation of the measurement system:
• MSA for variable data
• MSA for attribute data

The Six Sigma approach for Quality Improvement
• Six Sigma and DMAIC Cycle
• Six Sigma metrics

Quality standards
• ISO 9000 quality standards
• Certification
• Harmonized standards and integrated management systems

RECOMMENDED READING/BIBLIOGRAPHY

All the slides used during the lessons and other teaching material will be available on the teaching Teams channel. The notes taken during the lessons and the material on Teams are sufficient for the preparation of the exam

TEACHERS AND EXAM BOARD

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

The exam includes a written test and an optional oral interview.

The written exam is passed if the student obtains a grade greater than or equal to 18 in the test.

The written test includes some exercises aimed at assessing the ability to apply the concepts and methodologies illustrated during the course and some open questions to evaluate the acquisition and understanding of the theoretical topics covered.

To participate in the written test you must register for the official exam sessions on the https://servizionline.unige.it/studenti/esami/prenotazione website.

The oral exam (optional) can be taken after passing the written test and is reserved for students who have achieved a score of at least 27/30 and the maximum increase obtainable with the oral exam is 3 points compared to the mark obtained in the written test.

If the oral exam is insufficient, the commission reserves the right to cancel the written exam.

If the student does not take the oral exam, the mark recorded in the career is that of the written test.

ASSESSMENT METHODS

Written exam in the classroom.
The written exam will assess the level of knowledge of the main concepts and the ability to solve simple exercises.
Oral exam in presence.
The oral exam will allow you to check your reasoning skills and connect different concepts with each other.

The quality of the exposition, the correct use of the specialist vocabulary, the ability of critical reasoning will also be assessed.