The course aims to provide knowledge of some management science techniques (math programming, network optimization, and heuristics approaches) necessary to solve decision problems that require both resource optimization and synchronization.
The course aims at learning optimization methods necessary to cope with complex problems that originate in maritime transport, both freight and passenger. 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.
Frontal lectures, case studies
Analysis of some problems related to maritime logistics and ports (scheduling and vehicle routing problems, hub and spoke networks, locations, train loading problems, berth allocation and stowage problems for containerships). Analysis of technical and operational characteristics of ships. Methods: Integer and binary linear programming, graph theory,heuristics and simulation via spreadsheet. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel).
Slides and papers on AULAWEB
Hillier, Lieberman, Introduction to Operations Research, McGraw-Hill
2009.
Ricevimento: It will be defined at the beginning of the course. Information about office hours and related variations will be communicated on aulaweb
DANIELA AMBROSINO (President)
ANNA FRANCA SCIOMACHEN
19 September 2017
OPTIMIZATION OF MARITIME TERMINAL OPERATIONS
Written examination and presentation of case studies.
http://www.economia.unige.it/index.php/english/incoming-erasmus-students
