|SCIENTIFIC DISCIPLINARY SECTOR||MAT/09|
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 most relevant operations research and decision support methods, to strategic decisions. Among the main techniques, Linear programming, Integer Linear Programming, heuristic and meta-heuristic algorithms are presented.
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 mathematical programming methods, both exact and heuristic, for decision-makers. Students are also provided with the necessary knowledge to understand the structure of an optimization algorithm and to implement it with Python. Emphasis is given to logistics and transportation problems. Students will evaluate the acquiring of their skills by examining, developing and analyzing case studies in a computer classroom using the spreadsheet optimization tool of Excel and ad-hoc software environments. By the end of the course, students will have the skills necessary to identify the methodological approach needed to address a decision-making problem and the ability to apply that method to determine the good solutions.
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 decision-making problems. The resolution of strategic decision problems can be addressed using a variety of techniques. The focus of the course is on mathematical modeling techniques for decision problems and algorithmic techniques aimed at a faster resolution of this type of problem. At the end of the course, students will be able to use linear programming to model strategic problems. Further, using tools such as Spreadsheet tool of Excel and Python, students can design and implement solution approaches to the decision problem of both exact and heuristic types. Among the main Operation Research techniques, students will acquire skills in Linear programming, Integer Linear Programming, heuristic and meta-heuristic algorithms to face relevant strategic problems, as Facility location, Optimal routes and connections problems, Decision problems with Boolean variables, Decision problems with more than one objective.
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
The following books and articles are suggested.
Office hours: To be defined on the basis of the time schedule of the lessons. Remote office hours for students will be also possible on the teams channel on demand.
ANNA FRANCA SCIOMACHEN (President)
DANIELA AMBROSINO (President Substitute)
CARMINE CERRONE (President Substitute)
All class schedules are posted on the EasyAcademy portal.
During class hours, students will be asked to solve exercises or case studies 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 concerning 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,
|19/01/2022||10:00||GENOVA||Scritto + Orale|
|10/02/2022||10:00||GENOVA||Scritto + Orale|
|31/05/2022||10:00||GENOVA||Scritto + Orale|
|16/06/2022||10:00||GENOVA||Scritto + Orale|
|07/07/2022||10:00||GENOVA||Scritto + Orale|
|07/09/2022||10:00||GENOVA||Scritto + Orale|