Six Sigma Tolerance Design Case Study: Optimizing an Analog Circuit Using Monte Carlo Analysis
- Topics:
- Risk Analysis and Management,
- Six Sigma
- Tags:
- Approach,
- Business Operations,
- Management,
- Quality,
- Risk Analysis,
- Six Sigma,
- Strategy,
- Successful Statistics
- Source:
- Successful Statistics
FREE Registration is required
Overview: Managers often are asked to consider opportunities that involve risks. Traditional approaches to evaluating uncertainty fall short of providing a comprehensive view of possible outcomes. Risk analysis techniques using Monte Carlo simulation offer a more sophisticated approach that can help the manager better understand and manage those risks. This article discusses the advantages of using risk analysis and provides three illustrations of how this approach can aid in decision making in the clinical laboratory setting.
(Is this item miscategorized? Does it need more tags? Let us know.)
Format: PDF | Size: 181KB | Date: Jan 2003 | Pages: 16
