Title: Integration of MBSE and PLM: complexity and uncertainty

Authors: Yaroslav Menshenin; Carolina Moreno; Yana Brovar; Clement Fortin

Addresses: Space Center, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205, Moscow, Russian Federation ' Space Center, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205, Moscow, Russian Federation ' Space Center, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205, Moscow, Russian Federation ' Space Center, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205, Moscow, Russian Federation

Abstract: Currently, MBSE and PLM methods and solutions are not well aligned with each other resulting in excessive complexity and uncertainty. Their full-scale integration would facilitate the development of complex systems. Better data flow from conceptual design to detailed design and feedback from later stages of product development are needed. In this paper, we analyse the MBSE and PLM integration from a system of systems (SoS) perspective and apply some of the methods used in systems engineering to better understand their nature, quantify their epistemic uncertainty and propose possible solutions to reduce their complexity and uncertainty. To achieve these goals, we study systems ontologies, such as the object-process methodology (OPM), the core product model (CPM), and manufacturing process management (MPM), which represent essential elements of a digital engineering solution. We also propose a measure of complexity to better quantify the structure of the interfaces through the design structure matrix (DSM)-based approach.

Keywords: complexity; product design; model-based systems engineering; MBSE; product lifecycle management; PLM; ontology; uncertainty.

DOI: 10.1504/IJPLM.2021.115701

International Journal of Product Lifecycle Management, 2021 Vol.13 No.1, pp.66 - 88

Received: 01 Aug 2020
Accepted: 27 Jan 2021
Published online: 17 Jun 2021 *

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