文章基本信息

标题：Validating Time Efficiency of AOSR 2.0: A Novel WMS Planner Algorithm for SMEs, under Industry 4.0
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作者：Fareed Ud Din* ; David Paul ; Joe Ryan 等
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)