Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion

With the development of the social economy and the improvement of the consumption concept, a new business model combining offline and online has been promoted. The warehousing system is one of the important links of commodity production and circulation, which involves storage, sorting, and distribut...

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Autores principales:	Cheng Chi, Yanyan Wang, Shasha Wu, Jian Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	robotic picking parts-to-picker queuing network system analysis Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/be93cf2aa1414f3596b9a044e1c5b35f
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spelling	oai:doaj.org-article:be93cf2aa1414f3596b9a044e1c5b35f2021-11-11T15:24:16ZAnalysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion10.3390/app1121104462076-3417https://doaj.org/article/be93cf2aa1414f3596b9a044e1c5b35f2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10446https://doaj.org/toc/2076-3417With the development of the social economy and the improvement of the consumption concept, a new business model combining offline and online has been promoted. The warehousing system is one of the important links of commodity production and circulation, which involves storage, sorting, and distribution. It has a significant impact on the operation cost and the efficiency of the whole logistics system. The progress of robot technology, the Internet of things, and artificial intelligence technology promotes the automation and intelligence of storage systems. The Robotic Mobile Fulfillment Systems (RMFS), which takes the automatic guided vehicles (AGVs) as the way of handling and picking, greatly improves the space utilization, operation efficiency, and flexibility of the system. This paper studies the RMFS with fixed shelves and establishes the performance evaluation model of the picking system considering the AGVs congestion by establishing the queuing network. The effectiveness of the model is verified by simulation, and the optimization of system parameter configuration is further discussed according to the experimental data.Cheng ChiYanyan WangShasha WuJian ZhangMDPI AGarticlerobotic pickingparts-to-pickerqueuing networksystem analysisTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10446, p 10446 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	robotic picking parts-to-picker queuing network system analysis Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	robotic picking parts-to-picker queuing network system analysis Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Cheng Chi Yanyan Wang Shasha Wu Jian Zhang Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
description	With the development of the social economy and the improvement of the consumption concept, a new business model combining offline and online has been promoted. The warehousing system is one of the important links of commodity production and circulation, which involves storage, sorting, and distribution. It has a significant impact on the operation cost and the efficiency of the whole logistics system. The progress of robot technology, the Internet of things, and artificial intelligence technology promotes the automation and intelligence of storage systems. The Robotic Mobile Fulfillment Systems (RMFS), which takes the automatic guided vehicles (AGVs) as the way of handling and picking, greatly improves the space utilization, operation efficiency, and flexibility of the system. This paper studies the RMFS with fixed shelves and establishes the performance evaluation model of the picking system considering the AGVs congestion by establishing the queuing network. The effectiveness of the model is verified by simulation, and the optimization of system parameter configuration is further discussed according to the experimental data.
format	article
author	Cheng Chi Yanyan Wang Shasha Wu Jian Zhang
author_facet	Cheng Chi Yanyan Wang Shasha Wu Jian Zhang
author_sort	Cheng Chi
title	Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
title_short	Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
title_full	Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
title_fullStr	Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
title_full_unstemmed	Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion
title_sort	analysis and optimization of the robotic mobile fulfillment systems considering congestion
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/be93cf2aa1414f3596b9a044e1c5b35f
work_keys_str_mv	AT chengchi analysisandoptimizationoftheroboticmobilefulfillmentsystemsconsideringcongestion AT yanyanwang analysisandoptimizationoftheroboticmobilefulfillmentsystemsconsideringcongestion AT shashawu analysisandoptimizationoftheroboticmobilefulfillmentsystemsconsideringcongestion AT jianzhang analysisandoptimizationoftheroboticmobilefulfillmentsystemsconsideringcongestion
_version_	1718435389021093888

Analysis and Optimization of the Robotic Mobile Fulfillment Systems Considering Congestion

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