OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

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iten
Code
95136
ACADEMIC YEAR
2019/2020
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.

AIMS AND LEARNING OUTCOMES

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

PREREQUISITES

Opration Reseacrh 

Linear programming and Integer linear programming

Graphs

 

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.

Additional hours in the lab for preparing the project works will be available.

SYLLABUS/CONTENT

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.

RECOMMENDED READING/BIBLIOGRAPHY

Bibliography will be indicated during lessons.

TEACHERS AND EXAM BOARD

Ricevimento: Please, 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.

Additional hours in the lab for preparing the project works will be available.

LESSONS START

17th September 2019

EXAMS

Exam description

Project work discussion.

 

Assessment methods

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)
 

Exam schedule

Date Time Location Type Notes
07/09/2020 10:00 GENOVA Scritto

FURTHER INFORMATION

Further information: 

see the webpage

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

OR contact: 

ambrosin@economia.unige.it