News
Our Degree Programs
Establishment
Language of instruction
English
Teaching content
MANAGEMENT OF INFORMATION SYSTEMS
Training officer(s)
A.CARUGATI
Stakeholder(s)
Andrea CARUGATI
Présentation
Prerequisite
General understanding of modelling in management
Differential equations and calculus
General knowledge of managerial problems
Differential equations and calculus
General knowledge of managerial problems
Goal
At the end of the course, the student should be able to:
the major variables of a simple system and their development over time.
Model such dynamics using System Dynamics as modelling technique
Model the system using a dedicated software (Vensim)
Create a graphic interface to easily interact with the system
the major variables of a simple system and their development over time.
Model such dynamics using System Dynamics as modelling technique
Model the system using a dedicated software (Vensim)
Create a graphic interface to easily interact with the system
Presentation
Managerial problems have two fundamental characteristics
1) they are interconnected with other elements or problems.
2) they exist within a specific organizational history.
Often theory and practical experiences help us in solving these problems but just as often the complexity of the problems is such that decisions taken today come back to haunt us in the future. Effects of our decisions are spread in time and space in such ways to be beyond our cognitive capabilities.
Being able to model complex systems and their evolution becomes therefore a key tool to aid strategic decision making.
Management Flight Simulators (MFS) are simulators of organizational situations focused on a specific problem without going into the details proper of the real world. In the same manner as flight simulators are focused on flying and not on the entire airline business, MFS can - for example - focus on supply chain problems abstracting at least partially from other organizational details. MFS today are among the most effective tools to test business policies and learn in a risk-free simulated environment.
1) they are interconnected with other elements or problems.
2) they exist within a specific organizational history.
Often theory and practical experiences help us in solving these problems but just as often the complexity of the problems is such that decisions taken today come back to haunt us in the future. Effects of our decisions are spread in time and space in such ways to be beyond our cognitive capabilities.
Being able to model complex systems and their evolution becomes therefore a key tool to aid strategic decision making.
Management Flight Simulators (MFS) are simulators of organizational situations focused on a specific problem without going into the details proper of the real world. In the same manner as flight simulators are focused on flying and not on the entire airline business, MFS can - for example - focus on supply chain problems abstracting at least partially from other organizational details. MFS today are among the most effective tools to test business policies and learn in a risk-free simulated environment.
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Travail personnel | |||
| Charge de travail personnel indicative | 15,00 | ||
| Overall student workload | 31,00 | ||
Evaluation
The students have to produce a model of a simple managerial situation using Vensim as support. The studnets have to be able to present their model and discuss their choices
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Participation | 16,00 | 1 | 30,00 |
| exposé | |||
| exposé | 0,25 | 1 | 20,00 |
| Autres | |||
| Projet Individuel | 15,00 | 1 | 50,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
Kim Warren, Strategy Dynamics Essentials, Publisher: Strategy Dynamics Ltd, ISBN no: 978-1-903723-08-1 -
Internet resources