Journal Article10.1016/J.AEI.2021.101369
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
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TL;DR: By providing a TO-BE analysis of RPA and cloud-based CPS framework, a data-driven approach is proposed for zone clustering and storage location assignment classification in RMFS to gain better operational efficiency.
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About: This article is published in Advanced Engineering Informatics. The article was published on 01 Oct 2021. The article focuses on the topics: Cluster analysis & Statistical classification.
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Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
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Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system
K. L. Keung,C.K.H. Lee,Ping Ji +2 more
TL;DR: In this paper , the value creation of utilizing the Industrial Internet of Things (IIoT)-driven resource synchronization and sharing-based robotic mobile fulfillment system (RMFS) to enhance the overall operational effectiveness and efficiencies during information transfer and synchronization of resources is addressed.
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Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system
TL;DR: In this paper , an Artificial Intelligence (AI) edge intelligence and IIoT-based agnostic robotic architecture for resource synchronisation and sharing in manufacturing and robotic mobile fulfillment systems (RMFS) is proposed.
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Robots' picking efficiency and pickers' energy expenditure: the item storage assignment policy in robotic mobile fulfillment system
Jun Zhang,Ning Zhang,Li Tian,Zijuan Zhou,Ping Wang +4 more
TL;DR: In this article , the item storage assignment problem (ISAP) in a robotic mobile fulfillment system (RMFS) is addressed by considering both the robots' picking efficiency and the pickers' energy expenditure.
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Order Picking Optimization in Smart Warehouses With Human-Robot Collaboration
Ziyan Zhao,Junzhi Cheng,Jiaqi Liang,Mengchu Zhou,Yusuf Al-Turki +4 more
TL;DR: An adaptive large-neighborhood-based tabu search (TS) algorithm designed and embedded into a TS algorithm with two tabu mechanisms is proposed, which has great potential in solving practical order picking optimization problems for Internet of Things-enabled robot-assisted smart warehouses.
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