| Title |
Towards Green Sensing Virtual Enterprises: Interconnected Sensing Enterprises, Intelligent Assets and Smart Products in the Cyber-Physical Circular Economy |
| ID_Doc |
4937 |
| Authors |
Romero, D; Noran, O |
| Title |
Towards Green Sensing Virtual Enterprises: Interconnected Sensing Enterprises, Intelligent Assets and Smart Products in the Cyber-Physical Circular Economy |
| Year |
2017 |
| Published |
Ifac Papersonline, 50, 1 |
| DOI |
10.1016/j.ifacol.2017.08.1944 |
| Abstract |
This paper undertakes the conceptual development of Green Sensing Virtual Enterprises (GSVEs) and their potential application environments, as goal-oriented networks that are dynamically created and composed by a short-term alliance of green enterprises with sensing capabilities, whose interactions are enabled by sensor networks and supported by computer systems, in order to answer to collaboration opportunities requiring competencies beyond those available in any single enterprise, and will evolve or dissolve once their mission is accomplished. GSVEs are seen as the organisational counterpart of intelligent assets and smart products in an emerging Dynamic Cyber-Physical Circular Economy powered by pervasive digital transformation, where the synergy of the Internet of Things (IoT) paradigm, the Sensing Enterprise (SE) capabilities and the agile and environmental-friendly nature of Green Virtual Enterprises (GVEs) will unlock the full potential of circular business opportunities. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| Author Keywords |
Green Virtual Enterprises; Sensing Enterprise; Breeding Environments; Intelligent Assets; Smart Products; Circular Economy; Internet of Things; Cyber-Physical Systems |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000423965100438 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
https://doi.org/10.1016/j.ifacol.2017.08.1944
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