I used to read a lot more than I do now... sometimes for pure enjoyment, but also for research about my favourite topics (like Root Cause Analysis, of course). Here are some of the books and reports on my root cause bookshelf right now, things I plan to read during the 4th quarter of 2014. I guess I'm in the mood for accident theory and models, and for big books!
Equipment degrades, malfunctions, or fails outright... hopefully not too frequently, but every breakdown can be painful. So, of course, you will want to figure out exactly what happened, how it happened, and why (in hardware/software terms). You may want to dig a little deeper, though; every equipment malfunction or failure that you have is a valuable datapoint for gauging the health of your overall equipment program. That's why I've started creating a tool that should be able to help find programmatic causes underneath the more easily observable equipment performance issues. Since it is intended to be a Diagnostic for Equipment Programs, and uses Tabulated Heuristics, I call it DEPTH.
Models are representations of reality. They can be detailed or abstract, complex or simple, accurate or misleading. Whether we realize it or not, everything we perceive is processed using models. Therefore, it is important for us to understand how models can help us to understand reality, yet may also mislead us if not used with appropriate care and attention.
Models are used extensively in root cause analysis. Probably the most fundamental of these is the model of causation. There are models based on manipulability, probability, counterfactual logic, etc. This is an area of considerable complexity, as no single model seems to address all possible situations.