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  • 标题:Validating Time Efficiency of AOSR 2.0: A Novel WMS Planner Algorithm for SMEs, under Industry 4.0
  • 本地全文:下载
  • 作者:Fareed Ud Din* ; David Paul ; Joe Ryan
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2020
  • 卷号:15
  • 期号:2
  • 页码:53-61
  • DOI:10.17706/jsw.15.2.53-61
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要: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).
  • 关键词:Agent oriented smart factory (AOSF);small tomedium size enterprises (SMEs); cyber-physical systems (CPS);agent-orientedstorage and retrieval system (AOSR);warehouse management system (WMS)
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