Analysis of wafer sojourn time in dual-arm cluster tools with residency time constraint and activity time variation

Naiqi Wu, Mengchu Zhou

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

When scheduling cluster tools under wafer residency time constraints, wafer sojourn time in a processing module should be carefully controlled such that it is in a permissive range. Activity time variation often results in wafer sojourn time fluctuation and makes an originally feasible schedule infeasible. Thus, it is very important to know how the wafer sojourn time changes when activity time varies. With bounded activity time variation considered, this paper conducts a detailed analysis of wafer sojourn time variation in dual-arm cluster tools. To do so, a Petri net (PN) model and a real-time control policy are presented. Based on the PN model, real-time operational architecture, and real-time control policy, this paper analyzes the effect of activity time variation on wafer sojourn time delay at a process module and presents its upper bounds. The upper bounds are given in an analytical form and can be easily evaluated. With the wafer sojourn time analysis, it is possible to develop an effective method for schedulability analysis and optimal steady-state scheduling. An example is used to show the applications of the proposed approach.

Original languageEnglish (US)
Article number5398953
Pages (from-to)53-64
Number of pages12
JournalIEEE Transactions on Semiconductor Manufacturing
Volume23
Issue number1
DOIs
StatePublished - Feb 2010

All Science Journal Classification (ASJC) codes

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

Keywords

  • Automated manufacturing systems
  • Cluster tool
  • Discrete event systems
  • Modeling and analysis
  • Petri net
  • Schedulability analysis
  • Scheduling

Fingerprint

Dive into the research topics of 'Analysis of wafer sojourn time in dual-arm cluster tools with residency time constraint and activity time variation'. Together they form a unique fingerprint.

Cite this