OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

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iten
Code
95136
ACADEMIC YEAR
2018/2019
CREDITS
6 credits during the 2nd year of 8708 Maritime and Port Management (LM-77) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
MAT/09
TEACHING LOCATION
GENOVA (Maritime and Port Management)
semester
1° Semester
Teaching materials

OVERVIEW

The course aims to provide 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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.
 

Teaching methods

Lessons will be organized as follows: problem presentation by an expert in the field/problem analysis / solution approaches proposals/ discussion project works. Approaches will be implemented with Excel, MPL.

SYLLABUS/CONTENT

Part I: Analysis of some problems in the field of maritime-port logistics:

1. Berth management

2. Quay cranes scheduling

3. Organization and management of the export yard

4. Container stowage planning problems

5. Congestion at terminals

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.

RECOMMENDED READING/BIBLIOGRAPHY

Bibliography will be indicated during lessons.

TEACHERS AND EXAM BOARD

Ricevimento: From January to September 2019 write an email to have an appointment (ambrosin@economia.unige.it)  

Exam Board

DANIELA AMBROSINO (President)

ELENA TANFANI

ANNA FRANCA SCIOMACHEN

LESSONS

Teaching methods

Lessons will be organized as follows: problem presentation by an expert in the field/problem analysis / solution approaches proposals/ discussion project works. Approaches will be implemented with Excel, MPL.

LESSONS START

September 2018

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

EXAMS

Exam description

Project work discussion

FURTHER INFORMATION

for further information please contact: 

daniela.ambrosino@economia.unige.it