CONTINUOUS IMPROVEMENT & QUALITY MANAGEMENT | Università degli studi di Bergamo - Didattica e Rubrica

CONTINUOUS IMPROVEMENT & QUALITY MANAGEMENT

Attività formativa monodisciplinare
Codice dell'attività formativa: 
37199-ENG

Scheda dell'insegnamento

Per studenti immatricolati al 1° anno a.a.: 
2021/2022
Insegnamento (nome in italiano): 
CONTINUOUS IMPROVEMENT & QUALITY MANAGEMENT
Insegnamento (nome in inglese): 
CONTINUOUS IMPROVEMENT & QUALITY MANAGEMENT
Tipo di attività formativa: 
Attività formativa Caratterizzante
Tipo di insegnamento: 
Obbligatoria
Settore disciplinare: 
TECNOLOGIE E SISTEMI DI LAVORAZIONE (ING-IND/16)
Anno di corso: 
2
Anno accademico di offerta: 
2022/2023
Crediti: 
6
Responsabile della didattica: 

Altre informazioni sull'insegnamento

Modalità di erogazione: 
Didattica Convenzionale
Lingua: 
Inglese
Ciclo: 
Primo Semestre
Obbligo di frequenza: 
No
Ore di attività frontale: 
48
Ore di studio individuale: 
90
Ambito: 
Ingegneria gestionale
Prerequisites

It is suggested to know the 7 Ishikawa statistical tools.

Educational goals

The course is designed to provide insights into the management techniques for the quality of manufacturing and service companies and techniques for the continuous improvement of product and process.
With the proposed techniques the students will be able to successfully afford the improvement challenges in the organizations.
The students will also be able to successfully tackle the root cause of problems for identifying corrective actions.

Course content

The meaning of quality.
The meaning of the continuous improvement.
Reference standard.
The seven principles of quality.
Process based thinking.
Documentary system for quality management.
Definition and use of indices and indicators.
Certification of management systems.
Quality in supplies (Comakership).
Quality in design.
Introduction and application of techniques for achieving the improvement: FTA, FMEA, FMECA, Robust design, QFD techniques.
Introduction and application of techniques for the statistical study of the data for achieving the improvement: ANOM, ANOVA, DOE, response surfaces.
Process capability.
Overview on six-sigma concept.
Examples and practical exercises.

Teaching methods

Lectures and tutorials with practical examples of application of the various techniques introduced.
Discussion on the results obtained and on the suggestions derivable from the practical use of the different techniques.
Examples of output interpretation.

Assessment and Evaluation

The final examination consists in distinguishing between statements that are correct and incorrect in the context of the topics covered, in replying to questions on the theoretical principles and techniques discussed, in applying the techniques introduced to the practical cases and in knowing how to interpret the results. The exam is normally written. Normally the three parts are equally considered in the definition of the final vote.

Further information

The course slides, in-depth material and examples of exercises developed in Excel will be made available. The material consists of a set of files in PDF format containing a copy of the presentations used during the lessons. The files are uploaded to the Moodle space of the course and are freely accessible. The material is loaded in correspondence with the lessons relating to the various topics.
If the teaching is given in a mixed or remote mode, changes may be introduced with respect to what is stated in the syllabus to make the course and exams usable also in these ways.