scholarly journals Human System Integration Ontology: Enhancing Model Based Systems Engineering to Evaluate Human-system Performance

2014 ◽  
Vol 28 ◽  
pp. 19-25 ◽  
Author(s):  
Douglas W. Orellana ◽  
Azad M. Madni
Author(s):  
W J Tudor ◽  
N Harrison

Modern warships have become increasingly complex systems, capable of performing a variety of roles, in demanding environments whilst under the presence of a military threat. As the complexity of warships has increased, so too have the systems and processes established to design and manufacture them. Warship designers have become systems engineers charged with delivering integrated products often within programmes constrained by cost, risk, resource and commercial construct. For centuries, if not millennia, models have been an essential component of the warship design process providing a contextual reference for what the finished product may look like and how it may perform. Traditionally, these models have focussed on the physical performance attributes of the warship, its hull-form, its length, beam and displacement, its propulsion system and its likely payload; in unison these models provide an early understanding of key characteristics such as range, speed, complement and sea-keeping. However, with the reduction of ships’ companies and the proliferation of increasingly complex software-based control systems, coupled with a backdrop of squeezed defence budgets/development timescales, the call upon models to help manage and de-risk such complexity is becoming prevalent. Across the industrial landscape, model based systems engineering, architectural frameworks and the Systems Modelling Language have become common tools within the systems engineer’s arsenal as a means for managing system complexity and mitigating system integration risk. Within the warship design domain, the use of model based systems engineering has been most widely deployed by combat system designers, largely in recognition of the software based nature of these systems. This paper discusses how such approaches are equally applicable to the wider warship design and manufacture process – notably the development of Marine and Platform Systems; it describes the deployment of model based engineering and the Systems Modelling Language to de-risk modern warship design. It presents an overarching modelling framework and corresponding design methodology that can be deployed in concert with the more traditional modelling techniques used in warship design, to more effectively reduce risk and manage whole-ship integration.


Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.


2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.


ATZ worldwide ◽  
2021 ◽  
Vol 123 (7-8) ◽  
pp. 66-71
Author(s):  
Thorsten Weyer ◽  
Marcel Goger ◽  
Walter Koch ◽  
Birgit Kremer

2021 ◽  
Vol 1 ◽  
pp. 3369-3378
Author(s):  
Stephan Husung ◽  
Christian Weber ◽  
Atif Mahboob ◽  
Sven Kleiner

AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.


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