Gäller från och med: Spring 2013
Beslutad av: FN3/Per Tunestål
Datum för fastställande: 2013-03-05
Avdelning: Production Management
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English
Queueing theory is one of the main tools for performance evaluation and dimensioning of production systems, inventory systems, telecommunication and computer communication networks, road traffic systems, and transport systems in general. This course treats queueing systems with an emphasis on the classical models. The theory is illustrated by problems drawn mainly from production and inventory control.
Kunskap och förståelse
För godkänd kurs skall doktoranden
Färdighet och förmåga
För godkänd kurs skall doktoranden
Värderingsförmåga och förhållningssätt
För godkänd kurs skall doktoranden
This course includes the classical theory for queueing systems: - Basic terminology, Kendall's notation and Little's theorem. - Discrete and continuous time Markov chains, birth-death processes, and the Poisson process. - Markovian waiting systems with one or more servers, and systems with infinite as well as finite buffers and finite user populations (M/M/). - Systems with general service distributions (M/G/1): the method of stages, Pollaczek-Khinchin mean-value formula and systems with priority and interrupted service. - Loss systems according to Erlang, Engset and Bernoulli. The theory is illustrated by examples from production and inventory control.
Kleinrock, L.: Queueing Systems. Volume 1: Theory.. Wiley, 1975. ISBN 0471491101.
Undervisningsform: Föreläsningar
Examinationsformer: Muntlig tentamen, inlämningsuppgifter.
Assessment: Individual written home assignments together with an oral exam.
Betygsskala: Underkänd, godkänd
Examinator:
Förkunskapskrav: Basic course in Mathematical statistics.
Förutsatta förkunskaper: Basic courses in Probability theory, Queueing theory, and knowledge regarding mathematical transforms.
The course will be given in the spring of 2013 and thereafter upon demand.
Kursansvarig: Fredrik Olsson <fredrik.olsson@math.lth.se>