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 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 spreadsheet Excel.
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
• 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. Approaches will be implemented with Excel, MPL.
Additional hours in the lab for preparing the project works will be available.
Please note that, if required by the health and epidemiological situation, lessons will be on line via the Teams platform. Updated information will be available on Aulaweb.
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)/ 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 2022
written examination + project work discussion.
Please note that the written test will be replaced by an oral one (via the Teams platform) if required by the health and epidemiological situation. Updated information will be available on Aulaweb.
The knowledge on the topics covered in class will be assessed through the written examination.
The ability to apply knowledge and communication skills 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
