Utilizing Simulation to Develop Economic Equipment Selection and Sampling Plans for Integrated Circuit Manufacturing

Keywords

simulation, inspection optimization, cost efficiency

Abstract

This article presents a Monte Carlo simulation model for designing and selecting integrated circuit (IC) inspection systems and equipment choices. It briefly describes the processes and types of inspections used in the manufacture of ICs. The effects of defect characteristics (e.g. size and density) and equipment defect detection rates (e.g. objective lens power) are studied as determinants of the optimal inspection configuration. As shown by the simulation model, the faster, more accurate, and more costly automated systems may be unnecessary depending on defect characteristics. The annual total costs differences, and thus achievable savings, between the several possible detection systems are shown to vary by $500 000 or more depending on process defect densities.

Original Publication Citation

"Utilizing Simulation to Develop Economic Sampling Plans for Integrated Circuit Manufacturing", International Journal of Production Research: The research journal of the Institution of Manufacturi, Volume 35, Pages 137-155, 1997.

Document Type

Peer-Reviewed Article

Publication Date

1997

Publisher

The Research Journal of the Institution of Manufacturing

Language

English

College

Marriott School of Business

Department

Marketing

University Standing at Time of Publication

Full Professor

Link to Full Text

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