Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series

Research output: Contribution to journalArticle (Academic Journal)

Abstract

This article presents an approach to the assessment of operational manufacturing systems complexity based on the irregularities hidden in manufacturing key performance indicator time-series by employing three complementary algorithmic complexity measures: Kolmogorov complexity, Kolmogorov complexity spectrum's highest value and overall Kolmogorov complexity. A series of computer simulations derived from discrete manufacturing systems are used to investigate the measures' potentiality. The results showed that the presented measures can be used in quantitatively identifying operational system complexity, thereby supporting operational shop-floor decision-making activities.
Original languageEnglish
Number of pages15
JournalJournal of the Operational Research Society
DOIs
Publication statusPublished - 3 Jul 2020

Keywords

  • manufacturing systems
  • complexity
  • KPI
  • Kolmogorov complexity
  • operations research
  • discrete event simulations

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