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Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 097741 - DECISION MODELS
Docente Colorni Vitale Alberto
Cfu 5.00 Tipo insegnamento Monodisciplinare

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*AZZZZ097741 - DECISION MODELS

Obiettivi dell'insegnamento

The course wants to build a specific expertise on the tools for the management of the decision processes, both from the point of view of methods and applications. The aim is to provide students with analytical skills to address decision-making problems through the use of models. Some topics and real-life cases will be deepened by teamwork.

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:

  • understand context, functions, processes in private and public environment and the impact of those factors on the performances;

  • 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;

  • interact in a professional, responsible, effective and constructive way in a working environment, also motivating group members.


Risultati di apprendimento attesi

Understand context. The course distinguishes between the expert in decision systems (the purpose is to build this competence in the students) and the real decision maker. So the first aim is to develop the ability of analyzing decision-making problems - actors, objectives, information, conflicts, available data, negotiation, ... - from the formal point of view, building a suitable model of it.

Design solutions. The course define the most appropriate methodologies to address the (previuosly analyzed) decision-making problems, extracting the most effective techniques from the set of tools presented (and discussed with the students).

Interact in a professional way. The course try to recognize decision-making contexts, in public and private environments, in which it is better to use formal methods rather than qualitative tools to support the decision maker .


Argomenti trattati

 

  • Cases will be introduced to define different decision models ...
  • Deterministic models using a single criterion. Linear programming. Models on networks.
  • Non-deterministic models. Risk attitude. Decision tree.
  • Models for multi-objective problems. The Multi-Attribute Utility Theory: utility functions, sensitivity analysis.
  • Analytic Hierarchy Process: pairwise comparisons, eigenvector, rank reversal, a priori analysis.
  • Outline of Electre methods: concordance-discordance. Rating models with Electre Tri.
  • Group decisions. Voting systems. Borda and Condorcet methods.
  • A framework for decision problems. Classification of the models.

Prerequisiti

Basic info regarding Linear Algebra.

Having already taken a course of Operations Research will help understanding.


Modalità di valutazione
The exam is individual (written and oral).
Material for the exam are produced by the teacher.

Bibliografia

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
32:30
48:45
Esercitazione
17:30
26:15
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
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
03/12/2020