L'insegnamento prevede 2.5 CFU erogati con Didattica Innovativa come segue:
Cotutela con mondo esterno
Corso di Studi
Codice Piano di Studio preventivamente approvato
Da (compreso)
A (escluso)
Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE
*
A
ZZZZ
097404 - INDUSTRIAL MANAGEMENT TOOLBOX (MODELS AND TOOLS)
053872 - INDUSTRIAL MANAGEMENT LAB AND TOOLBOX
052908 - INDUSTRIAL MANAGEMENT LAB AND TOOLBOX
052905 - INDUSTRIAL MANAGEMENT LAB AND TOOLBOX
Obiettivi dell'insegnamento
The course fits into the overall program curriculum pursuing some of the defined general learning goals. In particular, the course contributes to the development of the following capabilities
Identify key methodologies in an Industrial Management context (LG1)
Design solutions applying a scientific and engineering approach (Analysis, Learning, Reasoning, and Modeling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities in a business and industrial environment (LG2)
Develop new ideas and solutions in business and industrial scenarios evolving over time (LG3)
The course aims at offering an encompassing toolbox, useful to address and solve a large number of problems that Engineers typically face in an Industrial Management context.
Risultati di apprendimento attesi
Through a number of “monographic” problems, students will have the opportunity to develop and strengthen some skills, typically considered as “must-have” for a good consultant in area Operations Management / Operations Improvement. In particular, the student will be able to:
(connected to LG2) rapidly detect a problem and determine the correct data, sifting useless or redundant ones, making simplifying assumptions and focusing on relevant information;
(connected to LG1, LG2 and LG3) select according to the problem, and then use, a number of general-purpose problem solving tools, to carry with them as a “tool-box” or a “Swiss Army knife” and to use in each and every occasion;
(connected to LG2 and LG3) clearly explain conclusions of their reasoning, in a clear and formally correct way, propose solution and defend them – stressing their strengths and critically analysing their limits.
Argomenti trattati
Tools such as: A3, MSA, DOE, ANOVA, Clustering, multicriteria decision making, development of a scorecards of KPIs, will be discussed and used in class.
Prerequisiti
Modalità di valutazione
Final exam: written individual test
The written exam is made of 2-3 exercises presenting the quantitative analysis of a present situation in a company: the student is requested to detect the problem (LG2), identify correctly the right problem solving tool to use (LG1, LG2 and LG3), then develop a solution applying the tool and discuss it (LG2 and LG3).
Bibliografia
Software utilizzato
Nessun software richiesto
Forme didattiche
Tipo Forma Didattica
Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
10:00
15:00
Esercitazione
40:00
60:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale
50:00
75:00
Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua
Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
Inglese