Multiobjective Scheduling of Dual-Blade Robotic Cells in Wafer Fabrication

Qinghua Zhu, Mengchu Zhou, Yan Qiao, Naiqi Wu, Yan Hou

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

As a kind of robotic cells, cluster tools are widely used for semiconductor wafer fabrication processes since they provide a reconfigurable and efficient environment. With recent advances in new semiconductor materials, the circuit line width has continuously being shrunk down, which brings new challenges for manufacturers. They require that a wafer should be moved away from a processing chamber as soon as possible after its processing is finished. To ensure high-quality integrated circuits in a wafer, its post-processing residency time must be minimized. It is also highly desirable to maximize the throughput of robotic cluster tools. This article aims at scheduling such tools with multiple objectives subject to wafer residency time constraints. To do so, new algorithms are proposed to calculate robot waiting time delicately upon the analysis of particular events of robot waiting for dual-blade robotic tools and optimally schedule such tools. The numerical results of industrial examples show that the proposed algorithms can provide an effective method to find schedules for dual-blade cluster tools such that multiple objectives are optimized.

Original languageEnglish (US)
Article number8878016
Pages (from-to)5015-5023
Number of pages9
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume50
Issue number12
DOIs
StatePublished - Dec 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Cluster tool
  • optimization
  • scheduling
  • semiconductor manufacturing

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