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Event
Mathematical models and methods for Production Systems [WS192117059]
Organisation
- KIT-Fakultät für Maschinenbau
Part of
Literature
Wolff: Stochastic Modeling and the Theory of Queues, Prentice Hall, 1989
Shanthikumar, Buzacott: Stochastic Models of Manufacturing Systems
Appointments
- 14.10.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 21.10.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 28.10.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 04.11.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 11.11.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 18.11.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 25.11.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 02.12.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 09.12.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 16.12.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 23.12.2019 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 13.01.2020 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 20.01.2020 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 27.01.2020 08:00 - 11:15 - Room: 50.38 Raum 0.22
- 03.02.2020 08:00 - 11:15 - Room: 50.38 Raum 0.22
Note
Media:
black board, lecture notes, presentations
Learning Content:
- single server systems: M/M/1, M/G/1: priority rules, model of failures
- networks: open and closed approximations, exact solutions and approximations
- application to flexible manufacturing systems, AGV (automated guided vehicles) - systems
- modeling of control approaches like constant work in process (ConWIP) or kanban
- discrete-time modeling of queuing systems
Learning Goals:
Students are able to:
- Describe queueing systems with analytical solvable stochastic models,
- Derive approches for modeling and controlling material flow and production systems based on models of queueing theory,
- Use simulation and exakt methods.
Recommendations:
- Basic knowledge of statistic
- recommended compusory optional subject: Stochastics
- recommended lecture: Materials flow in logistic systems (also parallel)
Workload:
regular attendance: 42 hours
self-study: 198 hours