Statistical engineering: Synergies with established engineering disciplines

Abstract

Abstract This article explores the similarities and synergies between statistical engineering and established engineering disciplines. Statistical engineering is compared to the focus, process, and knowledge of established engineering disciplines and areas where synergies lie to the benefit of all engineering disciplines identified. Statistical engineering has the potential to help solve large unstructured engineering challenges to improve the planet. SUMMARY In theory, and also in my experience, statistical engineering has much in common with the definition and processes of engineering. Both focus on solving problems with similar frameworks and overlapping tool sets. Statistical engineering brings more emphasis, methods, and tools for data analysis that would benefit the engineering design process in attacking the large unstructured challenges of our world (the 14 grand challenges). It also defines problems at a broader level, including the political and social elements of the problem that could lead to better, more sustainable (long-term) solutions. Statistical engineering can also help all types of engineering enhance their problem-solving skills by incorporating empirical approaches into problem-solving efforts.