Given the significant uncertainty about environmental, health, and safety risks of nanomaterials, modeling theirrelative risks versus benefits is especially important. Several risk assessment methods exist in a variety of industriesto investigate similar issues, depending on the nature of the problem and specific research needs. Using occupationalexposure in carbon nanotube manufacturing processes as an example, we discuss and illustrate possible modelingapproaches that might be useful for nanomanufacturing risk assessment, including Monte Carlo, multi-criteria,stochastic programming, and desirability function models.
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