In new designs, case study data can be used to estimate the potential size of the fugitive material problem and costs associated with not addressing the issues. With existing operations, the information needed to justify improvements may at first seem difficult to quantify. In reality, as few as five independent observations of the problem can provide facts that represent the problem with a reliability of over 90%.1 While some company data or information may not be kept or readily available, there are many resources completingthe picture of the costs of fugitive materials and the benefits to be derived from implementing controls.2
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