In turn, a major portion of the book focuses on relevant tools that students and practitioners need to be familiar with: 8D reports, acceptance sampling, failure tree analysis, FMEA, control charts, correlation analysis, designing experiments, estimating parameters and confidence intervals, event tree analysis, HAZOP, Ishikawa diagrams, Monte Carlo simulation, regression analysis, reliability theory, data sampling and surveys, testing hypotheses, and much more. An overview of the necessary mathematical concepts is also provided to help readers understand the technicalities of the tools discussed. A down-to-earth yet thorough approach is employed throughout the book to help practitioners and management students alike easily grasp the various topics. weiterlesen