• Understanding the importance of Quality Management in the manufacturing and service sectors, identifying the emerging trends in the current global market
• Reflect upon the internal and external perspectives of a company in a systemic way: customers and processes
• Learning the main Statistical Tools for Quality Control and implement their practical application on the lens of process improvement
• Reflect upon the internal and external perspectives of a company in a systemic way: customers and processes
• Learning the main Statistical Tools for Quality Control and implement their practical application on the lens of process improvement
Curriculum
teacher profile teaching materials
Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Process Management and Improvement
• Quality Management Models (MBQA, EFQM)
• Quality Management System (ISO 9001:2015)
• Lean Six Sigma
The main aim of statistical module is learning the main statistical tools to look at quality management problems with quantitative glasses.
Topics:
• Basic statistical tools
• Inferential tools for quality control and improvement (hypothesis testing on one mean/proportion and on two means/proportions difference)
• Variables control charts
• Process capability
• Attributes control charts
• ANOVA
Slide
Programme
The course is divided into two complementary modules: managerial module and statistical module. The managerial module is designed to provide students with an in-depth knowledge of the topics of Total Quality Management.Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Process Management and Improvement
• Quality Management Models (MBQA, EFQM)
• Quality Management System (ISO 9001:2015)
• Lean Six Sigma
The main aim of statistical module is learning the main statistical tools to look at quality management problems with quantitative glasses.
Topics:
• Basic statistical tools
• Inferential tools for quality control and improvement (hypothesis testing on one mean/proportion and on two means/proportions difference)
• Variables control charts
• Process capability
• Attributes control charts
• ANOVA
Core Documentation
Foster Thomas, 6th Edition, Managing Quality. Integrating the Supply ChainSlide
Type of delivery of the course
Classroom training In case of an extension of the health emergency for the COVID-19 pandemic, all the provisions that regulate the methods of carrying out the teaching activities and student assessment will be changed according to the regulations. In particular, the following methods will apply: distance learningAttendance
Class attendance is not mandatory, but it is recommendedType of evaluation
The final exam consists of a written test. The mark of the written test can be integrated with the points collected by the student that attend the lectures. teacher profile teaching materials
Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Process Management and Improvement
• Quality Management Models (MBQA, EFQM)
• Quality Management System (ISO 9001:2015)
• Lean Six Sigma
The main aim of statistical module is learning the main statistical tools to look at quality management problems with quantitative glasses.
Topics:
• Basic statistical tools
• Inferential tools for quality control and improvement (hypothesis testing on one mean/proportion and on two means/proportions difference)
• Variables control charts
• Process capability
• Attributes control charts
• ANOVA
Slide
Mutuazione: 21210088-1 QUALITY MANAGEMENT - I MODULO in Economia e Management LM-77 GUGLIELMETTI MUGION ROBERTA
Programme
The course is divided into two complementary modules: managerial module and statistical module. The managerial module is designed to provide students with an in-depth knowledge of the topics of Total Quality Management.Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Process Management and Improvement
• Quality Management Models (MBQA, EFQM)
• Quality Management System (ISO 9001:2015)
• Lean Six Sigma
The main aim of statistical module is learning the main statistical tools to look at quality management problems with quantitative glasses.
Topics:
• Basic statistical tools
• Inferential tools for quality control and improvement (hypothesis testing on one mean/proportion and on two means/proportions difference)
• Variables control charts
• Process capability
• Attributes control charts
• ANOVA
Core Documentation
Foster Thomas, 6th Edition, Managing Quality. Integrating the Supply ChainSlide
Type of delivery of the course
Classroom training In case of an extension of the health emergency for the COVID-19 pandemic, all the provisions that regulate the methods of carrying out the teaching activities and student assessment will be changed according to the regulations. In particular, the following methods will apply: distance learningAttendance
Class attendance is not mandatory, but it is recommendedType of evaluation
The final exam consists of a written test. The mark of the written test can be integrated with the points collected by the student that attend the lectures.