Aarhus University Seal / Aarhus Universitets segl

Erland Hejn Nielsen

Autocorrelation in queuing network-type production systems - revisited

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Department of Business Studies
  • CORAL - Centre for Operations Research Applications in Logistics

In managing production systems, a strong emphasis is placed on the reduction of variance in specific transformation processes (e.g. for quality control purposes) and on controlling the level of variability in general, as for instance with the Bullwhip effect. However, the possible disturbing interference from autocorrelation (variability dependence over time) in otherwise level stable event streams has received little attention. From the literature it is known that autocorrelation in queuing systems can lead to a large deterioration in performance compared to an event independent scenario. Thus, either production managers are missing important aspects in production planning, or the 'realistic' autocorrelation patterns inherent in actual production setups are not like those considered in the literature. In this paper, relevant and 'realistic' types of autocorrelation schemes are characterised and their levels discussed. The paper puts previous works on the impact of autocorrelation in queuing networks in perspective for production systems.

Original languageEnglish
JournalInternational Journal of Production Economics
Volume110
Issue1-2
Pages (from-to)138-146
ISSN0925-5273
DOIs
Publication statusPublished - 2007

    Research areas

  • Accepted Queuing systems, autocorrelation, TES, ARTA, finite sampling method

See relations at Aarhus University Citationformats

ID: 32354329