OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

TEACHING METHODS

Frontal lectures, case studies

SYLLABUS/CONTENT

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).

RECOMMENDED READING/BIBLIOGRAPHY

Slides and papers on AULAWEB

Hillier, Lieberman,  Introduction to Operations Research, McGraw-Hill

2009.

TEACHERS AND EXAM BOARD

Exam Board

DANIELA AMBROSINO (President)

ANNA FRANCA SCIOMACHEN

LESSONS

LESSONS START

19 September  2017

Class schedule

OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

EXAMS

EXAM DESCRIPTION

Written examination and presentation of case studies.

ASSESSMENT METHODS

Written examination and presentation of case studies.

Exam schedule

FURTHER INFORMATION

http://www.economia.unige.it/index.php/english/incoming-erasmus-students