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https://hdl.handle.net/1959.11/29304
Title: | Agent-Oriented Smart Factory (AOSF): An MAS Based Framework for SMEs Under Industry 4.0 | Contributor(s): | Ud Din, Fareed (author) ; Henskens, Frans (author); Paul, David (author) ; Wallis, Mark (author) | Publication Date: | 2019 | Early Online Version: | 2018-05-31 | DOI: | 10.1007/978-3-319-92031-3_5 | Handle Link: | https://hdl.handle.net/1959.11/29304 | Abstract: | For the concept of Industry 4.0 to come true, a mature amalgamation of allied technologies is obligatory, i.e. Internet of Things (IoT), Big Data analytics, Mobile Computing, Multi-Agent Systems (MAS) and Cloud Computing. With the emergence of the fourth industrial revolution, proliferation in the field of Cyber-Physical Systems (CPS) and Smart Factory gave a boost to recent research in this dimension. Despite many autonomous frameworks contributed in this area, there are very few widely acceptable implementation frameworks, particularly for Small to Medium Size Enterprises (SMEs) under the umbrella of Industry 4.0. This paper presents an Agent-Oriented Smart Factory (AOSF) framework, integrating the whole supply chain (SC), from supplier-end to customer-end. The AOSF framework presents an elegant mediating mechanism between multiple agents to increase robustness in decision making at the base level. Classification of agents, negotiation mechanism and few results from a test case are presented. | Publication Type: | Book Chapter | Source of Publication: | Agents and Multi-Agent Systems: Technologies and Applications 2018, p. 44-54 | Publisher: | Springer | Place of Publication: | Cham, Switzerland | ISBN: | 9783319920313 9783319920306 |
Fields of Research (FoR) 2008: | 080101 Adaptive Agents and Intelligent Robotics 080501 Distributed and Grid Systems 080110 Simulation and Modelling |
Fields of Research (FoR) 2020: | 460202 Autonomous agents and multiagent systems 460106 Spatial data and applications |
Socio-Economic Objective (SEO) 2008: | 890205 Information Processing Services (incl. Data Entry and Capture) | Socio-Economic Objective (SEO) 2020: | 220402 Applied computing 220403 Artificial intelligence |
HERDC Category Description: | B1 Chapter in a Scholarly Book | Publisher/associated links: | https://doi.org/10.1007/978-3-319-92031-3 | WorldCat record: | http://www.worldcat.org/oclc/1042188902 | Series Name: | Smart Innovation, Systems and Technologies | Series Number : | 96 | Editor: | Editor(s): Gordan Jezic, Yun-Heh Jessica Chen-Burger, Robert J Howlett, Lakhmi C Jain, Ljubo Vlacic and Roman Sperka |
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Appears in Collections: | Book Chapter School of Science and Technology |
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