Please use this identifier to cite or link to this item: 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)orcid ; Henskens, Frans (author); Paul, David  (author)orcid ; 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
Appears in Collections:Book Chapter
School of Science and Technology

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