Understanding product cost vs. performance through an in-depth system Monte Carlo analysis

Mark C. Sanson

doi:10.1117/12.2272494

22 August 2017 Understanding product cost vs. performance through an in-depth system Monte Carlo analysis

Mark C. Sanson

Proceedings Volume 10377, Optical System Alignment, Tolerancing, and Verification XI; 1037707 (2017) https://doi.org/10.1117/12.2272494
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

The manner in which an optical system is toleranced and compensated greatly affects the cost to build it. By having a detailed understanding of different tolerance and compensation methods, the end user can decide on the balance of cost and performance. A detailed phased approach Monte Carlo analysis can be used to demonstrate the tradeoffs between cost and performance. In complex high performance optical systems, performance is fine-tuned by making adjustments to the optical systems after they are initially built. This process enables the overall best system performance, without the need for fabricating components to stringent tolerance levels that often can be outside of a fabricator’s manufacturing capabilities. A good performance simulation of as built performance can interrogate different steps of the fabrication and build process. Such a simulation may aid the evaluation of whether the measured parameters are within the acceptable range of system performance at that stage of the build process. Finding errors before an optical system progresses further into the build process saves both time and money. Having the appropriate tolerances and compensation strategy tied to a specific performance level will optimize the overall product cost.

Conference Presentation

Citation Download Citation

Mark C. Sanson "Understanding product cost vs. performance through an in-depth system Monte Carlo analysis", Proc. SPIE 10377, Optical System Alignment, Tolerancing, and Verification XI, 1037707 (22 August 2017); https://doi.org/10.1117/12.2272494

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