This paper will discuss how accurate simulation of the real world conditions and ART/ADT (accelerated reliability/durability testing) technology is influencing accurate efficiency predicting as a final goal of product/process design, manufacturing, and development.
The paper begins with the overview of current approaches of predicting the efficiency for a complete product and its components with an examples of life cycle costs (LCC), empirical reliability, physics-based reliability, their benefits and risks. It includes also the history of reliability prediction. As a result of the overview, it will be conclude that one cannot ensure that predicting results will not be misinterpreted or misapplied, even though all assumptions and rationale have been meticulously documented and clearly stated.
The paper will demonstrate the proposed principles of solution for accurate efficiency predicting through obtaining accurate initial information for this predicting and improving engineering culture. This is based on Systems Engineering, including accurate simulation of the real world conditions, ART/ADT with taking into account interactions of all field conditions and product components.