The course aims at providing students some management science techniques (mathematical programming, optimization on networks, heuristic approaches) necessary for the operational management of complex systems such as maritime terminals. The problems will be presented by some operators, analyzed and solved organizing project works. Software such as Excel and/or MPL will be used.
The course aims at learning optimization methods necessary to cope with complex problems that originate in the management of operations at maritime terminals. The consolidation of the proposed methodologies is supported by the development of case studies; models will be implemented and solved thanks to optimization software and spreadsheet Excel
The course aims at providing optimization methods necessary to cope with complex problems that originate in the management of operations at maritime terminals.
The consolidation of the proposed methodologies is supported by the development of case studies; models will be implemented and solved thanks to optimization software and/or spreadsheet Excel.
The case studies analysed will allow the development of awareness of personal learning level, of ability to apply the studied techniques, understanding one's own needs for skills development.Furthermore, the solution of the problems contextualized in real systems allows the development of imagination, creativity, critical reflection, and problem-solving.
At the end of the course students will be able to:
• analyse a decision process
• formulate a decision problem
• implement a mathematical linear programming model (integer-binary)
• solve some of the typical problems in the management of operations at maritime terminals
• evaluate the level of personal learning and the ability to apply the techniques studied, understanding any need to develop further skills
• critically analyse the solutions obtained by assessing their correctness and feasibility
• carry out scenario analyses and compare the alternatives
Opration Reseacrh
Linear programming and Integer linear programming
Graphs
Lessons will be organized as follows: problem presentation (if possible by an expert in the field) / problem analysis / solution approaches proposals/ discussion project works / presentation project works. Approaches will be implemented with Excel and/or MPL.
During the course, homework will be assigned via AulaWeb
Thanks to participation in working groups it is possible to obtain the following Open Badge:
Ability in learning to learn - advanced level Project creation proficiency - basic/advanced level
Part I: Analysis of some problems in the field of maritime-port logistics:
1. Berth management
2. Quay cranes and reach steakers scheduling
3. Organization and management of the yard
4. Container stowage planning problems
5. Train loading planning problem
Part II: methods and tools for solving the analysed problems:
• Graph theory / Network Optimization / ILP and binary LP
• Heuristic approaches
• Software (used in the lab) Spreadsheet (Excel) and/or MPL
Part III: Discussion of case studies.
Bibliography will be indicated during lessons.
Ricevimento: Please, write an email to have an appointment (ambrosin@economia.unige.it)
DANIELA AMBROSINO (President)
CARMINE CERRONE
ANNA FRANCA SCIOMACHEN
ELENA TANFANI
September 2023
written examination + project work discussion.
The knowledge on the topics covered in class will be assessed through the written examination.
The ability to apply knowledge, communication skills and other personal competencies (learning to learn and project creation) will be assessed through the projects work and thier presentation. The evaluation will concern: 1) the work in the classroom 2) the organization of the work for the information collection from the experts 3) compliance with deliveries 4) project presentation (ppt: completeness/ logical sequence of the contents; oral presentation: language appropriateness)
Further information:
see the webpage dedicated to incoming-erasmus-students
OR contact:
ambrosin@economia.unige.it
