• 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
							
							
																		scheda docente 
							
							materiale didattico
							
							
															
Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Excellence Models, ISO stanadard, Process Management and Improvement
• 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
The course includes self-assessment evaluation in-class, team-work and field visits.
																						
Slide
																													
																						
																						
														
						
								Programma
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
• Excellence Models, ISO stanadard, Process Management and Improvement
• 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
The course includes self-assessment evaluation in-class, team-work and field visits.
Testi Adottati
Foster Thomas, 6th Edition, Managing Quality. Integrating the Supply ChainSlide
Modalità Erogazione
Lectures are in presence. The course includes self-assessment evaluation in-class, team-work and field visits.Modalità Frequenza
Class attendance is not mandatory, but it is recommendedModalità Valutazione
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.
									
									
									scheda docente
									
									materiale didattico
									
																			
Topics:
• Historical evolution of QM and emerging trends in the supply chain context
• The voice of the customer
• The voice of the market
• Excellence Models, ISO stanadard, Process Management and Improvement
• 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
The course includes self-assessment evaluation in-class, team-work and field visits.
																												
Slide
																																					
																												
																												
																		
								
										Mutuazione: 21210088-1 QUALITY MANAGEMENT - I MODULO in Economia e Management LM-77 GUGLIELMETTI MUGION ROBERTA
Programma
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
• Excellence Models, ISO stanadard, Process Management and Improvement
• 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
The course includes self-assessment evaluation in-class, team-work and field visits.
Testi Adottati
Foster Thomas, 6th Edition, Managing Quality. Integrating the Supply ChainSlide
Modalità Erogazione
Lectures are in presence. The course includes self-assessment evaluation in-class, team-work and field visits.Modalità Frequenza
Class attendance is not mandatory, but it is recommendedModalità Valutazione
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.