Petri net-based scheduling of single-arm cluster tools with reentrant atomic layer deposition processes

Naiqi Wu, Feng Chu, Chengbin Chu, Mengchu Zhou

Research output: Contribution to journalArticlepeer-review

127 Scopus citations

Abstract

For some wafer fabrication processes in cluster tools, e.g., atomic layer deposition (ALD), wafer revisiting is required. Typically, in such processes, wafers need to visit two consecutive processing steps several times. Such a revisiting process can be denoted as (mi, mi+1 h, where i means the ith-step and mi and mi+1 mean the corresponding quantity of the processing modules in i and (i+1)th steps, and h the number of visiting times. This paper conducts a study for scheduling single-arm cluster tools with such a wafer revisiting process. The system is modeled by Petri nets (PNs) to guarantee the feasibility of robot activities. Based on the model, a deadlock avoidance policy is presented. With the control policy, cycle time analysis for the revisiting process is made. With the fact that wafer processing times are much longer than robot movement times in cluster tools, it is shown that, when mi = mi+1 = 1, i.e., each step has only one processing module, the optimal one-wafer cyclic schedule is deterministic and unique, and the minimal cycle time can be calculated by an analytical expression. It is also shown that, when m i = 1 and mi+1 = 2 or mi = 2 and m i+1 = 1, the optimal one-wafer cyclic schedule can be obtained by finding h deterministic schedules and the one with the least cycle time. A novel analytical method is finally presented to schedule the overall system containing such reentrant wafer flow. This represents a significant advance in single-arm cluster equipment automation.

Original languageEnglish (US)
Article number5452958
Pages (from-to)42-55
Number of pages14
JournalIEEE Transactions on Automation Science and Engineering
Volume8
Issue number1
DOIs
StatePublished - Jan 2011

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Cluster tools
  • Petri nets (PNs)
  • optimization
  • scheduling
  • semiconductor fabrication

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