Universität Wien

390029 DK PhD-BALOR: Advanced Topics in Operations Management (2024W)

5.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Continuous assessment of course work
Mo 13.01. 08:00-13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 24 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 13.01. 13:15 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 14.01. 09:45 - 11:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 14.01. 11:30 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 15.01. 09:45 - 13:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.01. 13:15 - 16:30 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 16.01. 09:45 - 11:15 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 16.01. 11:30 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 17.01. 09:45 - 11:15 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 17.01. 11:30 - 13:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course will cover several advanced applications of operational research methods in intra-logistics, including warehousing, order picking, sorting, facility layout, and facility location. In addition to theoretical knowledge, the students will acquire computational skills to reproduce and improve on the methods presented in the literature.
The course is based on several recently published research papers by the lectures and by others.

Assessment and permitted materials

The students will be evaluated based on
1. A term paper on a topic related to the course (approved by the lecturer in advance). Submit by the end of February 22, 2025
2. Presentation of the term paper in 25 minutes presentation (online session)
The term paper can be written in teams of one or two students.

Minimum requirements and assessment criteria

1. Knowledge of fundamental OR techniques such as integer and linear programming, dynamic programming, etc.
2. Decent programming skills in Python
3. Some familiarity with IBM Cplex (a commercial solver)
4. Please bring your laptop to class with your favorite Python developing environment and Cplex API installed. Feel free to contact me if you need help with this.

Examination topics

Contents of the course.

Reading list

Reading list:
1. Bartholdi, J.J. and S.T. Hackman, 2019, Warehouse & Distribution Science, Release 0.98.1, www.warehouse-science.com.
2. Tompkins, J.A., White, J.A., Bozer, Y.A. and Tanchoco, J.M.A., 2010. Facilities planning. John Wiley & Sons..
3. Heragu, S., 2022, Facilities design, CRC Press Inc., 5rd Ed., 2022.
4. Bukchin, Y., and Raviv, T. "A comprehensive toolbox for load retrieval in puzzle-based storage systems with simultaneous movements." Transportation Research Part B: Methodological 166 (2022): 348-373.
5. Raviv, T., Bukchin, Y. and de Koster, R., 2023. Optimal retrieval in puzzle-based storage systems using automated mobile robots. Transportation Science, 57(2), pp.424-443.
6. Bukchin, Yossi, and Tal Raviv. "Constraint programming for solving various assembly line balancing problems." Omega 78 (2018): 57-68.
7. Raviv, T., 2023. The service points’ location and capacity problem. Transportation Research Part E: Logistics and Transportation Review, 176, p.103216.
Lecture notes will be made available during the course.

Association in the course directory

Last modified: We 11.12.2024 10:47