Practical Queueing Models for Preventive Maintenance Plan Optimization: Multiple Maintenance Types and Numerical Studies

Minho Lee, James R. Morrison, Adar A. Kalir

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Preventive Maintenance (PM) activities in semiconductor manufacturing are important for equipment availability and reliability. Since PMs are down events that remove a tool from service, when to conduct a PM and how to group multiple PM tasks into shared PM events are key issues. In this article, multiple types of PMs with different intervals are considered in G/G/m failure-prone queueing systems. PMs are classified into two categories: time-based preemptive and time-based non-preemptive. For each category of PM, this article provides PM planning optimization models to seek optimal PM intervals that minimize the mean cycle time of wafer lots. Simulation studies are conducted to explore the performance of the optimization model and the mean cycle time approximations. Moreover, sensitivity analysis is conducted and reveals several properties of the PM planning model. Implementation results are briefly reported for a toolset in semiconductor manufacturing that achieved a 12% reduction in mean cycle time using PM plans based on these modelling approaches.

Original languageEnglish
Article number9274539
Pages (from-to)104-114
Number of pages11
JournalIEEE Transactions on Semiconductor Manufacturing
Volume34
Issue number1
DOIs
StatePublished - 1 Feb 2021
Externally publishedYes

Keywords

  • Maintenance planning
  • optimization model
  • preventive maintenance
  • queueing system

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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