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OPERATIONAL EXCELLENCE FOR SYSTEMS ENGINEERING (OESE): STATE OF ART

Published online by Cambridge University Press:  27 July 2021

Joseph Kokolo*
Affiliation:
Université de Technologie de Compiègne
Benoit Eynard
Affiliation:
Université de Technologie de Compiègne
*
Kokolo, Joseph, UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE, LABORATOIRE DE MECANIQUE ROBERVAL, France, [email protected]

Abstract

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Operational Excellence (EO) is increasingly present in scientific and managerial news. Increasing competition, increasingly uncertain events, demands customers and society increasingly pressing, the evolution of systems towards cyber physics systems, push organizations to adapt their engineering methodologies. Excellence operational (EO) is one of the answers proposed by the scientific literature to make engineering organizations more flexible, more responsive, more efficient and therefore more competitive. In this article, we share a state of the art of operational excellence (EO) in system engineering (IS) through its most modern methodologies: the Lean Six Sigma (LSS), Theory of Constraints (TOC) and Agility (A) with an operational approach including social and societal responsibility via the Quality-Cost-Delay-Security-Environment (QCDSE). We finish by sharing four assumptions that will serve as a basis, in our future contribution, to propose a synergy solution to implement an Operational Excellence approach in systems engineering organizations.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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