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SPOTing best approaches to enable SE in Enterprises
Author(s) -
Beasley Richard,
Nolan Andy J.,
Pickard Andrew C.,
Hull Frank M.
Publication year - 2016
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2016.00262.x
Subject(s) - enabling , process (computing) , system of systems engineering , set (abstract data type) , method engineering , computer science , best practice , work (physics) , engineering management , engineering , systems engineering , systems design , software engineering , mechanical engineering , management , psychology , economics , psychotherapist , programming language , operating system
Systems Engineering is an enabler of better project outcomes and more successful products. It is an interdisciplinary approach that helps integrate disciplines to make sure that the complete problem situation is understood by all, and then applies that understanding to drive engineering activities, utilising an appropriate process. INCOSE has led the way in defining appropriate Systems Engineering process and practice, and developing individuals into certified Systems Engineers. However, engineering, and especially Systems Engineering, is a team sport – performed in organisations / enterprises. There is a strong argument that better results can be achieved by better application of Systems Engineering. Therefore the issue of how an organisation improves its Systems Engineering capability. There are many recommended, complementary good practices that an organisation should seek to apply – but what is the priority? Which should it develop first? And then which should it do next? INCOSE has little to guide on this. This paper introduces a set of good practices, which whilst from outside INCOSE / Systems Engineering has significant synergy with Systems Engineering. The Comparative Organization Data Archive, also known as the SPOT databank (from the Concurrent Engineering User Group) does have significant correlations from application (to various standards) to project performance for very many (>1000) projects. From these correlations recommendations can be made regarding the most “impactful” improvement for an organisation to make in their Systems Engineering practice. The purpose of this paper is to introduce this data, and show the synergy of its practices to good Systems Engineering, and makes recommendations of detailed work INCOSE could support to integrate the data into the canon of Systems Engineering guidance for Systems Engineering.