A feature-based approach to conceptualisation, upfront modelling, and planning for the future of complex systems. (2017)

• Record Type: Journal Article
• Authors: Opiyo, Eliab Z.
• Is Part Of: International journal of information technology and management. Volume 16:Number 1(2017)
• Page Start: 91
• Page End: 112
• Publication Date: 2017
• Subjects: 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; Management information systems -- Periodicals; Information technology -- Periodicals; Management -- Data processing -- Periodicals; 658.403805
• Languages: English
• ISSNs: 1461-4111

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.