OPERATIONAL RESEARCH FOR TOURISM AND REVENUE MANAGEMENT

OPERATIONAL RESEARCH FOR TOURISM AND REVENUE MANAGEMENT

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iten
Code
83700
ACADEMIC YEAR
2020/2021
CREDITS
9 credits during the 3nd year of 9912 TOURISM SCIENCES:TERRITORY, CULTURE AND BUSINESS (L-15) IMPERIA
SCIENTIFIC DISCIPLINARY SECTOR
MAT/09
LANGUAGE
Italian
TEACHING LOCATION
IMPERIA (TOURISM SCIENCES:TERRITORY, CULTURE AND BUSINESS)
semester
2° Semester
Teaching materials

OVERVIEW

The course introduces students to critical analysis of decision-making problems in tourism and the use of methods of decision theory and operational research. Particular attention is paid to revenue management techniques.

 

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide the students with the most significant notions and tools of operational research applied to business and tourism systems, with particular reference to the solution of revenue management problems.

AIMS AND LEARNING OUTCOMES

The course aims at providing the main concepts and tools of decision theory and operational research for tourism management, with particular attention to revenue management. 

At the end of the course students will  :

  • know the typical terminology of decision theory and operational research;
  • be able to develop choice/optimization models to solve real problems related to the management of tourist services
  • be able to use the spreadsheet and the solver of Excel 

PREREQUISITES

matrices and linear functions

Teaching methods

Traditional lectures in Italian are integrated with individual/group works and lessons involving the use of PCs (spreadsheet Excel). 

Some lessons will be dedicated to the presentation and discussion of case studies.

During the course homeworks will be assigned via AulaWeb.

 

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

Analysis of some problems of tourist management: assignment, scheduling, transportation problems; human resource management, forecasting, pricing and revenue management.

Methods: decision theory, optimization models, graph theory and Ganf diagram

Spreadsheet Excel will be used for solving the analysed problems.

 

RECOMMENDED READING/BIBLIOGRAPHY

books will be listed on aulaweb at the beginning of the course.

TEACHERS AND EXAM BOARD

Ricevimento: Please, write an email to have an appointment (ambrosin@economia.unige.it)  

Exam Board

DANIELA AMBROSINO (President)

PIERPAOLO UBERTI

ANNA FRANCA SCIOMACHEN

ELENA TANFANI

LESSONS

Teaching methods

Traditional lectures in Italian are integrated with individual/group works and lessons involving the use of PCs (spreadsheet Excel). 

Some lessons will be dedicated to the presentation and discussion of case studies.

During the course homeworks will be assigned via AulaWeb.

 

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.

LESSONS START

II semester - February 2021

ORARI

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

Vedi anche:

OPERATIONAL RESEARCH FOR TOURISM AND REVENUE MANAGEMENT

EXAMS

Exam description

Written examination and presentation of case studies

 

Please not 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 written test is aimed at assessing the degree of knowledge and understanding of the topics covered in class.

The ability to apply knowledge (solving and communication skills) will be assessed through the presentation / discussion of the exercises or projects.

Exam schedule

Date Time Location Type Notes
09/06/2021 11:00 IMPERIA Scritto
23/06/2021 11:00 IMPERIA Scritto
16/07/2021 11:00 IMPERIA Scritto
09/09/2021 11:00 IMPERIA Scritto

FURTHER INFORMATION

 

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