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This paper describes an analysis performed to assess the fidelity, scalability, and performance of the Sage® Fab Advisor™ semiconductor fab simulation engine executing two years of fab operations across a range of lot sizes. We describe the demand and fab operations models used, as well as the tools and methodology used in conducting the analysis. Our results were validated against a well-known model running on a well-known toolset, showing performance to be very competitive with that model. Further, we show that our engine’s performance, running this model, scales almost linearly from 25 wafer lot sizes down to single wafer lot sizes. That is, simulation time increases roughly linearly with respect to the number of lots being processed. Autonomous Predictive-Adaptive Simulation For Operations Support This paper describes a simulation system that monitors operations on a production floor, periodically creating a model of those operations, and running a simulation that predicts the next several shifts’ worth of events, providing operators with new predictive analysis capabilities. As a set of procedures is carried out in the model and the real world, deviations are introduced by the variations between the expected activities and the actual occurrences. More deviations arise from explicit adaptations undertaken by operations staff in response to already-observed anomalies. With each cycle, those deviations are integrated into the model, heuristics are applied to estimate the likely future course of events, and after a simulation run, a new set of predictions is generated from that model, and it compares the new predictions with the last run’s predictions. Differences between the pre-loop prediction and the post-loop prediction serve to indicate whether the situation is improving or degrading. Comparison Of Sage® (Highpoint's Modeling and Simulation Toolkit) with Workbench-Style Environments This assessment is intended to provide a general survey of the strengths and weaknesses of approaching a simulation problem using a workbench-style tool versus approaching that same problem with source code, a simulation server and class libraries (which, along with some quick-start wizards and design tools, characterizes Sage®). This paper describes the philosophy, architectures and key features of a new .Net-based simulation environment called Sage®. Sage® is comprised of a simulation executive, a set of class libraries and some tools built on top of Microsoft’s .Net platform. It was built to take advantage of the object-oriented flavor and extensive integration plumbing ingrained in the .Net framework. It supports “active entity”, “block-based”, “workflow-oriented” and several other types of simulation architectures in both the discrete-time and continuous domains. And it enables developers to approach their simulation frameworks or applications in a wide range of languages including such inexpensive and available languages as C# and VB.Net.
Revised: 02/21/09. |
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