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Freeware
Exposure Assessment Strategy Simulator V2.5.1
As a service to the industrial safety and hygiene community, Exposure Assessment
Solutions, Inc. has developed and released as freeware the Exposure Assessment
Strategy Simulator Version. The Exposure Assessment Strategy Simulator was designed
solely for educational purposes, to simulate and illustrate how different exposure
sampling strategies may perform in actual exposure scenarios.
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The Exposure Assessment Strategy Simulator is intended to be used after reading
the Exposure Assessment Solutions, Inc. Technical Report 05-03 "Performance-based
exposure assessment strategies for TWA expsoure limits" (available
free from EAS Inc.).
A performance-based strategy can be defined as strategy for assessing workplace
exposures that is designed to reliably achieve a specific objective. Here we
will assume that the objective is to reliably detect unacceptable exposure profiles
(i.e., work environments). The Exposure Assessment Strategy Simulator permits
the user to estimate the effectiveness and efficiency of the following strategies:
- an (OSHA) inspector strategy as it would be used by an employer to determine
compliance with the OSHA Z-table PELs
- OSHA-NIOSH 6b strategy (used in most of the OSHA 6b single substance standards)
- the AIHA "Similar Exposure Group" (SEG) strategy
- Alcoa-Damiano "Homogeneous Exposure Group" (HEG) strategy
- CEN "HEG" strategy
With the strategy simulator it can be shown that relatively minor changes can
substantially improve strategy performance.
Miscellaneous screenshots:

Opening form for the Exposure Assessment Strategy Simulator.

Module for the simulating the OSHA-NIOSH 6b [rule] exposure assessment strategy.

Typical performance curve for the default version of the OSHA-NIOSH 6b [rule]
exposure assessment strategy. If, for purposes of designing a strategy, we define
"clearly unacceptable" as 25% overexposures, the OSHA-NIOSH strategy
will result in a false negative decision approximately 58% of the time. Even
if 50% of the exposures exceed the OEL the probability of a false negative decision
is nearly 30%. Clearly, unless modified this strategy would be inappropriate
for baseline or initial exposure assessments.
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