Kies de Nederlandse taal
Course module: 191531830
Stochastic Models in Production and Logistics
Course info
Course module191531830
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr. J.C.W. van Ommeren
Contactperson for the course
dr. J.C.W. van Ommeren
dr. J.C.W. van Ommeren
Academic year2022
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
After following this course, students are able to
  1. apply analytic results for open and closed queueing models with exponentially distributed inter-arrival and service times and about approximations for systems with generally distributed service times, especially for non-product form networks.
  2. apply (generalized) Mean-value techniques.
  3. apply general manufacturing systems with set-ups and break-downs and about workload control.
  4. model a(n idealized) practical situation as a network of queues.
  5. numerically find and evaluate (approximations for) performance measures.
  6. to critically interpret numerical results for approximated performance measures.
Stochastic models are of great importance for the design, planning and control of manufacturing systems such as, for instance, logistic networks with production or distribution stages, where each stage is modelled as either an open or a closed queueing network. In this course, we focus on a variety of models to describe, analyze and optimize a broad range of manufacturing systems. These models can be characterized as combinations of queueing models and inventory models.

This course is taught together with Applied Queueing Models (AQM), 201800171. The assignments in AQM are more mathematically oriented.
Assumed previous knowledge
Knowledge of probability theory and Markov chains covered in the courses Stochastic models in Operations Management (191530881) or Modelling and Analysis of Stochastic Processes for IEM (202000424). It can also be found in, for example, the book ‘Introduction to Probability Models’ by S.M. Ross.
Participating study
Master Mechanical Engineering
Required materials
Course material
Lecture notes (available digitally)
Recommended materials
Instructional modes

Assignments, Oral exam

Kies de Nederlandse taal