There is considerable number of architectural frameworks and standards with many pertinent definitions of concepts that are often not compatible with each other, hindering collaboration, especially in the context of System of Systems (SoS). To address this issue, we propose an ontology for SoS that uses Object Process Methodology (OPM) ISO 19450 to facilitate collaboration among organizations with focus on safety aspects. The current effort focuses on the foundational extended taxonomy that uses a minimal set of terms to model system‐ and SoS‐related concepts and relations among them to streamline collaboration among involved SoS stakeholders, with focus on safety. The ontology is illustrated through an example of a self‐parking facility.
This paper explores possibilities for collaboration between two companies that share interest in a System of Systems (SoS). Although traditional architectural frameworks and standards are applicable, there has been little work presented of how they can be used for collaboration by a practician. As a response to harmonize use of words for an SoS in relationship to standardized set of definitions an INCOSE Work Group project developed a proposal for an ontology that could support collaboration in the context of directed SoS and acknowledged SoS. This ontology is evaluated in the paper, first by a mapping of terms used in product development to test the ontology terms. Then the ontology is further explored with an example of how it could be used in architecture work in relation to directed SoS, specifically from a system safety aspect.
This paper explores the relationship between the domains of Systems Engineering and Human Factors. As complexity of product design increases a clear perspective of how these domains can be combined is necessary if systems under development are to be proficient. The relationship between the two domains is elaborated through the PU2B‐model, Product Utility Usability Business Model, which is a high level meta model developed to support decision making in systems design. With the PU2B‐model as base the paper presents how Systems Engineering and Human Factors relate to each other and can be combined to get the most out of both.
The background for this paper is the rapid changes that currently manifests around the globe. The premise is that system science can provide a basis to enhance the capabilities of system engineering to meet these challenges. This paper explores with a few examples how system modelling, decision making and methods to manage complexity can draw on science. Additionally, it will be explained that humans do not take all decisions on logical bases, hence, the framing of the question allowed by the system model is vital. The result of the paper is a proposal of a framework for knowledge management modelling based on the science and major lessons learned in modelling and methods to manage complexity.
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