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OPTIMIZATION OF MARITIME TERMINAL OPERATIONS

CODE 95136
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 2nd year of 8708 ECONOMIA E MANAGEMENT MARITTIMO E PORTUALE (LM-77) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR MAT/09
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    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.

    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 (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.

    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

    LESSONS

    LESSONS START

     September 2022

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    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.

     

    ASSESSMENT METHODS

    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)
     

    Exam schedule

    Date Time Location Type Notes

    FURTHER INFORMATION

    Further information: 

    see the webpage dedicated to incoming-erasmus-students

    OR contact: 

    ambrosin@economia.unige.it