Design of standard modeling process for tool sequencing optimization under given robot control logics: A PVD case
Pi-Min Hsu, Ji-Lun Chen, Joey Chang, Shian-Chiang Chiou, Jen‐Hsuan Ho, Shi‐Chung Chang, Liangliang Sun, Peter B. Luh
- Year
- 2010
- Citations
- 4
Abstract
As equipment cost continues to grow in the capital investment of a fab, tool performance optimization has been critical to fab productivity and competitiveness. This paper addresses the optimization of tool operation sequence for efficiency, in specific, the design of a standard modeling process. The process consists of (1) Petri net (PN)-based modular modeling, which exploits an easily accessible freeware, (2) automatic synthesis of modules into a complete tool model and for simulation validation, and (3) conversion of the PN model to a mathematical formulation for optimization. A case study of a PVD cluster tool and its operation sequence control demonstrates that the standard modeling process enables engineers to systematically and quickly construct both simulation and mathematical models for tool sequence optimization and performance evaluation.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991