Systems Analysis to Optimize Reliability, Availability, and Maintainability (RAM) and Reduce Failure
Abstract
Building a new optimization system that uses a systems approach and combined optimization approach (in the form of surrogate-based modeling) to produce the optimum Reliability (R(t)), Availability (A(t)), and Maintainability (M(t)), a.k.a. RAM, figures, companies figure out specifically how to adjust their industrial model to the “nuts and bolts” (a.k.a. “parts”) level, to minimize their failures, thus maximizing their profits. By combining a systems approach with optimization of reliability, availability, and maintainability, a company can create a system that will maximize its profits and limit its cost due to the “Tip of the Iceberg” theory regarding losses in a safety incident. Designing a system that is able to optimize RAM at this level will involve defining the requirements of the system, determining how to find the initial reliability, optimum maintainability, and optimum availability of the program, as well as understand what the predecessor systems of this process were, and how they can be improved upon. Then, to make this system come to life, one must first do a detailed breakdown of the requirements needed to build the system, and then use those requirements to create a visual representation of the system that doubles as both a blueprint for the builder and an easy-to-follow guide through the system for the audience. Overall, by making the following program, companies would be able to reduce failure by updating their RAM optimization models to create a much more reliable RAM optimum and determine what needs to be done, down to the most specific (parts) level, thus maximizing their profits.
Citation
Mina, Mazdak Ian (2019). Systems Analysis to Optimize Reliability, Availability, and Maintainability (RAM) and Reduce Failure. Master's thesis, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /200684.