Scheduling

Scheduling

Module: MA-WW-BWL-1016 D-WW-WIWI-1016

Lecturer: Tristan Becker

Course description:

Scheduling is a form of decision-making that plays a crucial role in manufacturing and service industries. In the current business environment, effective and efficient scheduling has become a necessity to gain an edge over competitors. Companies have to meet shipping dates promised to customers, as failure to do so may result in lost goodwill or penalties. Furthermore, activities have to be scheduled in a way to use the available resources most efficiently.

We introduce students to important theoretical models from the scheduling literature, exact and heuristic solution algorithms for scheduling problems, and several real-world applications of scheduling. These include the fields of Supply Chain Management, Health Care, and Workforce Scheduling.

The course enables students to classify scheduling problems according to scheduling theory, apply/implement exact and heuristic algorithms for important scheduling problems and also provides an overview of real-world scheduling problems. As part of the tutorials, we will implement selected solution algorithms and mathematical models for scheduling problems using Python 3 and Gurobi.

Prerequisites:

We recommend having visited an elementary course in Operations Research.

Credit Points: 5

Course Language: English

The lecture will take place every Wednesday from 2.50 - 4.20 pm (First date: April 10th, 2024). Further, there will be a tutorial every Thursday from 4.40 - 6.10 pm (First date: April 18th, 2024). The room for the lecture is SCH/A101/H and the tutorial will take place in VMB E02/U (room changes!).

We will provide a detailed schedule and additional organizational information in the first lecture. The slide set for the first lecture will be available at the beginning of this course. Please also regularly check for announcements in the learning room.

Literature

Pinedo, M. L. (2009). Planning and Scheduling in Manufacturing and Services. Springer New York.

Pinedo, M. L. (2022). Scheduling. Springer International Publishing.