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Cursus: 191531830
191531830
Stochastic Models in Production and Logistics
Cursus informatieRooster
Cursus191531830
Studiepunten (ECTS)5
CursustypeCursus
VoertaalEngels
Contactpersoondr. J.C.W. van Ommeren
E-mailj.c.w.vanommeren@utwente.nl
Docenten
Contactpersoon van de cursus
dr. J.C.W. van Ommeren
Examinator
dr. J.C.W. van Ommeren
Collegejaar2021
Aanvangsblok
2B
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
Cursusdoelen
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.
Inhoud
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.
Voorkennis
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 (201400062). It can also be found in, for example, the book ‘Introduction to Probability Models’ by S.M. Ross.
Participating study
Master Mechanical Engineering
Participating study
Master Industrial Engineering and Management
Verplicht materiaal
Course material
Lecture notes (available digitally)
Aanbevolen materiaal
-
Werkvormen
Hoorcollege

Toetsen
Assignments, Oral exam

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