CODE  98230 

ACADEMIC YEAR  2020/2021 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  MAT/09 
LANGUAGE  English 
TEACHING LOCATION 

SEMESTER  Annual 
TEACHING MATERIALS  AULAWEB 
Operational research is a discipline included in decision science and management science; therefore, in addition to the basic notions of this subject, the course provides professional skills related to Problem Solving and Decision Making relevant to address strategic choices.
The course provides students the basics of operations research, which are most relevant to the strategic and operational planning of enterprises. The course aims to develop optimization models and provide methods for decisionmakers. Emphasis is given to logistics and transportation problems. Students will examine, develop and analyze case studies in a computer classroom using adhoc software environment. Basic mathematical Game Theory tools to deal with strategic problems characterized by interactions among two or more agents are also presented.
The course provide students the operations research and decision support methods, which are the most relevant to the strategic decisions, for the planning and controlling. Problem solving skills will also be provided.
The course is aimed at developing optimization models and providing methods for decisionmaking problems. Particular emphasis is given to logistics and transportation problems.
The resolution of strategic decision problems can be addressed using a variety of techniques.
In this course we will focus on mathematical modeling techniques for decision problems and on algorithmic techniques aimed at a faster resolution of this type of problem.
At the end of the course the student will be able to use linear programming to model strategic problems. Using tools such as ( Spread sheet Excel, MPL, Python)., the student can design and implement a solution approach to the decision problem of both an exact and heuristic type.
Among the main techniques we will study: Linear programming, Integer Linear Programming, heuristic and metaheuristic algorithms.
Among the main problems addressed: Facility location, Optimal routes and connections problems, Decision problems with Boolean variables, Decision problems with more than one objective, Decision problems with uncertain outcomes.
Recommended:
The course includes frontal lessons held in the computer classroom, to give students the opportunity to formulate, solve and analyze together with the teachers the proposed problems. If it is not possible to carry out activities in the presence, due to changes in health conditions, the teaching methods decided by the University will be adopted. For any updates, please refer to Aulaweb.
Consistent with the objectives previously illustrated in the course, the following topics are covered
we suggest reading the following books and articles.
Office hours: Wednesday, 1011
Office hours: Please, write an email to have an appointment (ambrosin@economia.unige.it)
ANNA FRANCA SCIOMACHEN (President)
DANIELA AMBROSINO (President Substitute)
CARMINE CERRONE (President Substitute)
First and second semester
All class schedules are posted on the EasyAcademy portal.
During class hours, students will be asked to solve exercises or case that will contribute to the final evaluation of the exam. Therefore, in case of students attending classes for the final assessment it will be necessary to present and discuss a project work orally a case study agreed with the teachers.
Students who will not attend the lessons will have to take a written test and present and discuss orally a case study agreed with the teachers.
Online test during lessons,
Oral interview,
Project discussion.
Date  Time  Location  Type  Notes 

14/01/2021  10:00  GENOVA  Scritto + Orale  
09/02/2021  10:00  GENOVA  Scritto + Orale  
03/06/2021  10:00  GENOVA  Scritto + Orale  
17/06/2021  10:00  GENOVA  Scritto + Orale  
08/07/2021  10:00  GENOVA  Scritto + Orale  
02/09/2021  10:00  GENOVA  Scritto + Orale 