Module also offered within study programmes:
General information:
Name:
Transport Management
Course of study:
2017/2018
Code:
ZZIP-1-618-s
Faculty of:
Management
Study level:
First-cycle studies
Specialty:
-
Field of study:
Management and Production Engineering
Semester:
6
Profile of education:
Academic (A)
Lecture language:
Polish
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr inż. Gdowska Katarzyna (kgdowska@zarz.agh.edu.pl)
Academic teachers:
dr inż. Gdowska Katarzyna (kgdowska@zarz.agh.edu.pl)
Module summary

This course provides a review of the most important problems of transport management. as well as the
set of typical tools. Students identify, analyze and solve problems in transport and logistics.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 Acts as a leader of small project teams and collaborates with other team members. ZIP1A_K04 Execution of a project,
Presentation
M_K002 Organizes oneself own studying process, defines intended learning outcomes, acquires knowledge by oneself. ZIP1A_K03 Test results,
Execution of a project,
Presentation,
Activity during classes
Skills
M_U001 Selects and utilizes dedicated computer applications to deal with transport management problems. ZIP1A_U01, ZIP1A_U02 Execution of a project,
Presentation
M_U002 Identifies, describes, formulates and solves transportat management problems ZIP1A_U02, ZIP1A_U07 Execution of a project,
Presentation,
Activity during classes
Knowledge
M_W001 Knows, defines and compares managerial problems in transportation of people and goods. ZIP1A_W02 Test results,
Execution of a project,
Presentation,
Activity during classes
M_W002 Knows, selects and assesses processes, approaches, models, and tools used in transportation and logistics. ZIP1A_W02 Test results,
Execution of a project,
Presentation,
Activity during classes
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 Acts as a leader of small project teams and collaborates with other team members. - + - - - - - - - - -
M_K002 Organizes oneself own studying process, defines intended learning outcomes, acquires knowledge by oneself. - + - - - - - - - - -
Skills
M_U001 Selects and utilizes dedicated computer applications to deal with transport management problems. - + - - - - - - - - -
M_U002 Identifies, describes, formulates and solves transportat management problems - + - - - - - - - - -
Knowledge
M_W001 Knows, defines and compares managerial problems in transportation of people and goods. + + - - - - - - - - -
M_W002 Knows, selects and assesses processes, approaches, models, and tools used in transportation and logistics. + + - - - - - - - - -
Module content
Lectures:

Lectures cover following subjects:
1. Introduction – transportation of people and goods
2. Optimization in transportation problems
3. Transportation of people
3a. Public transit systems
3b. Transit service planning
3c. Frequency and headways determination,
3d. Timetable development
4. Transportation of goods
4a. Transport systems – classification, requirements, network design and configuration
4b. Transport costs and pricing
4c. Vehicle routing
5. Sustainable transport and logistics
6. New trends in transportation of people and goods

Auditorium classes:

During classes students discuss and solve selected problems:
1 Warm-up – up-to date transportation problems described in substantial literature
and professional journals – assignment
2. Combinatorial optimization models for transportation
3. Selected heuristics for transportation problems
4. Summary – presenting a transportation problem with own analysis and developed
solutions
5. Final test – material presented during lectures and classes and assigned for selfstudy.

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 90 h
Module ECTS credits 3 ECTS
Participation in auditorium classes 30 h
Participation in lectures 30 h
Preparation of a report, presentation, written work, etc. 15 h
Preparation for classes 15 h
Additional information
Method of calculating the final grade:

1. All grades are calculated according to the scale compliant with the regulations of the AGH studies. A
score of 50% is required to obtain the lowest positive grade (satisfactory, 3.0).
2. To pass the auditorium classes students need to obtain 50% of the TOTAL score calculated as a
weighted average of scores from the final test (0-100), warm-up assignment (1-100), project (1-100),
and presentation (0-100) with following weights – final test 20%, warm-up assignment – 20%, project –
35%, and presentation – 25%. Oral answers allow students to get additional points for the overall
assessment.
3. Final grade of the course is equal to the final grade from the auditorium classes.
4. If the student does not obtain positive grade from classes at the required date, he/she is entitled to
write a retake in a form agreed with the lecturer.

Prerequisites and additional requirements:

Prerequisites and additional requirements are not specified.

Recommended literature and teaching resources:

Timm Gudehus, Herbert Kotzab, Comprehensive logistics, Berlin ; Heidelberg : Springer, 2009.
Juan de Dios Ortúzar, Luis G. Willumsen, Modelling transport, Chichester : John Wiley & Sons, 2001.
Vukan Vučić, Transport systems and policies for sustainable cities, Thermal Science 2008, 12(4): 7-17.
Vukan Vučić, Public Transportation: Planning, Operations and Management, Upper Saddle River, Prentice
Hall: 1979.
Vukan Vučić, Transportation for Livable Cities, Edison, CUPR/Transaction: 1999.
Vukan Vučić, Urban Transit Operations, Planning and Economics, Chichester: John Wiley & Sons: 2005.
Joseph Geunes, ByungMan Chang, Operations Research Models for Supply Chain Management and
Design. In: Floudas C., Pardalos P. (eds) Encyclopedia of Optimization, Boston, Springer: 2008
David A. Hensher, Kenneth J. Button, Handbook of Transport Modelling, Amsterdam, Pergamon: 2000.
MOS-SIAM Series on Optimization: Vehicle Routing: Problems, Methods, and Applications, editors: Paolo
Toth and Daniele Vigo.

Scientific publications of module course instructors related to the topic of the module:

Katarzyna Gdowska, Ana Viana, João Pedro Pedroso, Stochastic last-mile delivery with crowdshipping,
Transportation Research Procedia ; ISSN 2352-1465. — 2018 vol. 30, s. 90–100. —
Katarzyna Gdowska, Roger Książek, Urban transit network timetabling problem in terms of sustainable
urban transportation, Selected aspects of sustainable engineering [VIII Krakow conference of young
scientists : 26–28 September 2013], Krakow : Wydawnictwa AGH, 2016, s. 85–98.

Additional information:

Lecture: Attendance in lectures is not mandatory, but highly recommended. Students actively listen to
the lecture, and in case of any doubts are invited to ask questions or express their opinions. Students
are invited to initialize discussion on topics most interested to them as well as to participate in
discussions initialized by the lecturer. During the lecture, students should make their own notes,
especially when solving tasks on the board. Learning materials for each lecture are available on the
Moodle platform after every lecture. Students may be asked to get familiarized with additional materials
for self-study (materials are available on the Moodle platform). It is not allowed to record or film a
lecture without the consent of the teacher.
Auditorium classes: Before the classes, students should prepare scheduled assignments and during the
class present them to the group. Students are invited to participate actively in every task assigned to
them during the class. Students are invited to consult any doubts on their choice of the project and
presentation topics as well as their progress on the project execution. Students are invited to
participate actively in 2 last classes in order to give the presentation of their project and see and assess
the presentations of other teams.
Absence from lectures or auditorium classes needs to be made up by studying the issues discussed in
the
classroom with the help of lecture notes available on the e-learning platform. If someone omits the test,
then has to write it on the date agreed with the lecturer. If someone is absent during the presentation,
needs to discuss the project with the teacher on the agreed date.