Abstract
ABSTRACT Entrepreneurs encounter significant challenges in translating their ideas into tangible or digital products. Conventional idea-to-market processes often prove inflexible, siloed, and linear, leading to missed optimisation opportunities and substantial material, energy and labour waste. To address these challenges, this paper proposes DG-ViTh, a Decision Guidance System for search, optimisation and trade-off analysis of Virtual Things, which are parameterised specifications of products, services or anything of value. Virtual things are associated with analytic performance models that express customer-facing characteristics of a ‘thing’ in terms of virtual thing’s parameters. DG-ViTh allows virtual things’ parameters be optimally instantiated and then ordered by consumers from capability providers on demand. To develop DG-ViTh, this paper provides the design and formal mathematical semantics of a repository for general virtual things, core DG-ViTh functions, and a prototype implementation demonstrating optimisation capabilities for arbitrary pluggable virtual thing specifications. DG-ViTh versatility is demonstrated using the example virtual bike, illustrating its potential for a broad range of applications.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
