Part count and design of robust systems

Abstract

Systems engineering efforts are frequently undertaken to reduce part count with the goal of cutting costs, enhancing performance, or improving reliability. This paper examines the engineering practices related to part count, applying different theories - the Theory of Inventive Problem Solving (TRIZ), Axiomatic Design, and Highly Optimized Tolerance. Case studies from the jet engine industry are used to illustrate the complicated trades-offs involved in real-world part count reduction efforts. It is shown that no current theory fully accounts for the realities of system design, but that part consolidation at the component level generally proceeds consistent with the TRIZ ideality principle and that system part count and coupling are generally increasing driven by escalating demands for system performance and robustness. Copyright © 2006 by Authors.