OVERVIEW

The course illustrates different methodologies for the optimization of complex systems, with specific reference to problems of interest for management engineering

AIMS AND CONTENT

LEARNING OUTCOMES

To formalize an optimization problem for planning and managing complex systems; to identify the most suitable optimization methods; to implement the optimization algorithms with specific software; to discuss the results and make sensitivity analyses on the solutions

AIMS AND LEARNING OUTCOMES

At the end of the course, the student will be able:

• to formalize an optimization problem for planning and managing complex systems, with specific reference to manufacturing and logistics systems, project management;
• to identify the most suitable optimization and control methods for the considered problem;
• to design and implement the optimization algorithms with specific software;
• to discuss the results and make sensitivity analyses on the solutions.

PREREQUISITES

Operations research, Systems theory

TEACHING METHODS

Lessons and team working activities with specific software

SYLLABUS/CONTENT

• Introduction to optimization methods
• Decision theory
• Multi-objective optimization
• Dynamic Programming
• Model Predictive Control

RECOMMENDED READING/BIBLIOGRAPHY

B.S. Blanchard, W.J. Fabrycky, "Systems Engineering and Analysis", Prentice Hall International Series in Industrial & Systems Engineering, 2010

R.T. Clemen, T. Reilly, "Making Hard Decisions with DecisionTools", South-Western Cengage Learning, 2013

TEACHERS AND EXAM BOARD

Exam Board

SILVIA SIRI (President)

CECILIA CATERINA PASQUALE

SIMONA SACONE

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam is oral and consists in the presentation of a project implemented with specific software and in some open-ended questions on the contents of the course.

Students with learning disorders will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

ASSESSMENT METHODS

The exam aims to verify the following aspects about the knowledge of the student:

- knowledge regarding optimization and control methods for complex systems

- ability to design optimization and control algorithms for specific numerical examples and real systems

- ability to analyse the impact of the obtained solution on the systems and to make sensitivity analyses

The evaluation of the exam will consider not only the knowledge of the contents addressed in the course but also the reasoning and critical analysis skills of the student, as well as his/her capability to use a technical lexicon appropriate for the context.

Exam schedule