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https://hdl.handle.net/1959.11/29357
Title: | Validating Time Efficiency of AOSR 2.0: A Novel WMS Planner Algorithm for SMEs, under Industry 4.0 | Contributor(s): | Ud Din, Fareed (author) ; Paul, David (author) ; Ryan, Joe (author); Henskens, Frans (author); Wallis, Mark (author) | Publication Date: | 2020-03 | Open Access: | Yes | DOI: | 10.17706/jsw.15.2.53-61 | Handle Link: | https://hdl.handle.net/1959.11/29357 | Abstract: | Agent Oriented Storage and Retrieval (AOSR) WMS planner algorithm is a part of the general Agent Oriented Smart Factory (AOSF) framework, which provides a comprehensive Supply Chain (SC) architecture to help bridge the gap between Industry 4.0 standards and SME-oriented setups. This paper provides validation of AOSR algorithmwith respect to time efficiency on top of substantially improved performance efficiency in SME-oriented warehousing operations. This article, which is a part of a series of recent contributions, explains the efficiency of AOSR WMS planner algorithm in scenario-based test cases with experimentation in certain WMS Key Performance Indicators (KPIs). | Publication Type: | Journal Article | Source of Publication: | Journal of Software, 15(2), p. 53-61 | Publisher: | Academy Publisher | Place of Publication: | Finland | ISSN: | 1796-217X | Fields of Research (FoR) 2008: | 080110 Simulation and Modelling 080101 Adaptive Agents and Intelligent Robotics 080501 Distributed and Grid Systems |
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 |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Science and Technology |
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openpublished/ValidatingPaul2020JournalArticle.pdf | Published version | 1.61 MB | Adobe PDF Download Adobe | View/Open |
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