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|Alba77||Albach, H. (Hrsg.), “Quantitative Wirtschaftsforschung,” in Ferschl, F., Ed., “Approximationsmethoden in der Theorie der Warteschlangen,” p. 185 ff., Verlag Mohr, Tübingen, 1977|
|Coop90||Cooper, R.B., “Queueing Theory,” Chap. 10, in Heyman, D.P., Sobel, M.J., Eds., “Stochastic Models,” North-Holland, Amsterdam, 1990|
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Course 13: Sections and their intended learning outcomes
Intended learning outcomes: Present the elements of time management. Explain in detail knowledge on buffers and queues. Disclose scheduling of orders and scheduling algorithms. Describe splitting and overlapping.
Intended learning outcomes: Describe the order of the operations of a production order, operation time and operation load, the elements of interoperation time, administrative time, and transportation time.
Intended learning outcomes: Explain wait time, buffers, the funnel model, and queues as an effect of random load fluctuations. Present conclusions for job shop production. Produce an overview on logistic operating curves.
Intended learning outcomes: Describe the manufacturing calendar and the calculation of the manufacturing lead time. Differentiate between Backward Scheduling and Forward Scheduling. Explain network planning, central point scheduling, the lead-time stretching factor, and probable scheduling. Present scheduling of process trains.
Intended learning outcomes: Explain order or lot splitting, and overlapping. Present an extended formula for manufacturing lead time and extended scheduling algorithms.
Intended learning outcomes: Assess queues as an effect of random load fluctuations. Calculate examples for network planning, backward scheduling, forward scheduling, the lead-time stretching factor, and probable scheduling.