Moment-based approximations for first- and second-order transient performance measures of an unreliable workstation

Farhood Rismanchian, Young Hoon Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Performance measures of manufacturing systems have been intensively researched. However, little attention has been paid to the transient performance analysis of non-Markovian production systems. Therefore, this paper proposes a method to approximate the properties of a two-state non-Markovian system. In particular, an unreliable workstation with two states, operating and failed states, is considered. This system is a simplified version of an industrial manufacturing system. Moment-based approximations for the expected output quantity of the workstation at any arbitrary time is derived and discussed. In addition, an upper bound approximation for the variation of the produced amount is proposed. Failure and repair times are assumed to be arbitrarily distributed. The proposed approximations are compared with a simulated model using the ARENA 10 free version software to demonstrate the accuracy of the method. These approximations are nonparametric, easy to implement and depend only on the first three moments of the underlying distributions without recourse to the functional form of the distributions.

Original languageEnglish
Pages (from-to)75-95
Number of pages21
JournalOperational Research
Volume18
Issue number1
DOIs
Publication statusPublished - 2018 Apr 1

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Modelling and Simulation
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Management of Technology and Innovation

Fingerprint Dive into the research topics of 'Moment-based approximations for first- and second-order transient performance measures of an unreliable workstation'. Together they form a unique fingerprint.

  • Cite this