Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29303
Title: Revitalising and Validating the Novel Approach of xAOSF Framework Under Industry 4.0 in Comparison with Linear SC
Contributor(s): Ud Din, Fareed  (author)orcid ; Paul, David  (author)orcid ; Ryan, Joe (author); Henskens, Frans (author); Wallis, Mark (author)
Publication Date: 2020
Early Online Version: 2020-05-21
DOI: 10.1007/978-981-15-5764-4_1
Handle Link: https://hdl.handle.net/1959.11/29303
Abstract: Recent literature claims that Small to Medium Size Enterprises (SMEs), as compared to larger setups, may not be able to experience all the benefits of the fourth industrial revolution (Industry 4.0). In order to bridge this gap, the Agent Oriented Smart Factory (AOSF) framework provides a comprehensive supply chain architecture. AOSF framework does not only provide high-level enterprise integration guidelines but also recommends a thorough implementation in the area of warehousing by providing Agent Oriented Storage and Retrieval (AOSR) WMS system. This paper focuses on scenario-based comparison of the extended AOSF framework with a Linear SC model, to explain substantially improved performance efficiency especially in SME-oriented warehousing. These scenario-based experiments indicate that AOSR can yield 60-148% improvement in certain Key Performance Indicators (KPIs), i.e. number of products stored in racks, receiving area (RA) and expedition areas (EA), in comparison with standard WMS strategies.
Publication Type: Book Chapter
Source of Publication: Agents and Multi-Agent Systems: Technologies and Applications 2020, p. 3-16
Publisher: Springer
Place of Publication: Singapore
ISBN: 9789811557644
9789811557637
Fields of Research (FoR) 2008: 080501 Distributed and Grid Systems
080110 Simulation and Modelling
080101 Adaptive Agents and Intelligent Robotics
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: 220403 Artificial intelligence
220402 Applied computing
HERDC Category Description: B1 Chapter in a Scholarly Book
Publisher/associated links: https://doi.org/10.1007/978-981-15-5764-4
WorldCat record: http://www.worldcat.org/oclc/1108827139
http://www.worldcat.org/oclc/1156168880
Series Name: Smart Innovation, Systems and Technologies
Series Number : 186
Editor: Editor(s): G Jezic, J Chen-Burger, M Kusek, R Sperka, Robert J Howlett and Lakhmi C Jain
Appears in Collections:Book Chapter
School of Science and Technology

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