Transient analysis of serial production lines with perishable products: Bernoulli reliability model

Feng Ju, Jingshan Li, John A. Horst

Research output: Contribution to journalArticlepeer-review

54 Scopus citations


Manufacturing systems with perishable products are widely observed in practice (e.g., food industry, biochemical productions, battery and semiconductor manufacturing). In such systems, the quality of the product is highly affected by its exposure time while waiting for the next operation, i.e., the residence time of intermediate parts within the system. Such a time should be strictly limited in order to ensure the product usability. The parts that reach the maximum allowable residence time need to be scrapped, thus impeding the production. To achieve an efficient production, the time-dependent or transient analysis is important to uncover the underlying principles governing production operations. In this paper, a serial production line model with two Bernoulli reliability machines, a finite buffer and perishable products is presented to analyze the transient behavior of such systems. The analytical formulas are derived to evaluate transient performance, and structural properties are investigated to study the effect of system parameters. In addition, using the model, we address problems of settling time estimation and production control to demonstrate the importance of the proposed method for transient analysis.

Original languageEnglish (US)
Article number7478055
Pages (from-to)694-707
Number of pages14
JournalIEEE Transactions on Automatic Control
Issue number2
StatePublished - Feb 2017


  • Bernoulli machine
  • perishable part
  • production control
  • residence time
  • settling time
  • transient analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Transient analysis of serial production lines with perishable products: Bernoulli reliability model'. Together they form a unique fingerprint.

Cite this