A feature-based approach to conceptualisation, upfront modelling, and planning for the future of complex systems

Eliab Z. Opiyo

International Journal of Information Technology and Management, 2017, vol. 16, issue 1, 91-112

Abstract: This paper addresses the challenges of conceptualising, modelling, and planning for the future of complex systems with diverse physical, software, and/or cyber components during feasibility analysis. Specifically, the challenges dealt with included how to identify features; how to model the system, synergies, and operations upfront; and how to predict aspects such as the performance, assembly time, and cost in the fuzzy front-end stage of systems development processes. We present the techniques and scheme we developed and illustrate their applicability by using a practical example of complex medical rehabilitation device. We show that they provide a systematic way of identifying components and features. We discuss how features can be used as the basis for building functional, structural, or full-fledged system model upfront. These models show which functional and non-functional features the system would be comprised of, and can therefore also be used as the basis for investigating flows of information, energy, and/or materials, and for making predictions and planning for the future.

Keywords: complex systems; conceptualisation; modelling; prediction; feature identification; component identification; performance; assembly time; cost; fuzzy front-end; system development; medical rehabilitation devices; information flow; energy flows; materials flow. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijitma:v:16:y:2017:i:1:p:91-112

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