Reliability: Modeling, Prediction, and Optimization

CHAPTER 19

Case Studies

19.1 INTRODUCTION

In our approach to reliability, we have discussed various aspects of the subject from four points of view, attempting to integrate these into a coherent whole that will provide the necessary understanding and tools for analysis and decision making. The four areas are:

• Engineering—product design, manufacturing, maintenance, and optimization
• Mathematical modeling—deterministic and probabilistic models of failure mechanisms and times to failure for components and systems
• Statistical analysis—methods for collection and analysis of reliability data
• Management—strategies and policies for reliability, servicing, warranty, and related areas

In this chapter, we look at two case studies based on data sets presented and briefly discussed in Chapter 2. In the first of these, the problem is well defined and the data are well structured and reliable. In the second, there are many unknowns, the problem is much more nebulous, and many difficulties must be assumed away in order to do even a preliminary analysis. The objective in both cases is to apply the principles of the previous chapters to arrive at reasonable solutions to achieving the management objectives. We consider each of the four areas listed, as appropriate and where feasible, in the context of the available information. A number of the remaining cases from Chapter 2 are assigned as case study exercises, with suggestions for solution provided.¹

In Section 19.2, the data of Case 2.2—failure ...