RFID-enabled real-time manufacturing execution system for mass-customization production

By Ray Y. Zhong, Q. Dai, Ting-ting Qu, G. Hu, George Q. Huang. 2013

461 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/9163e481fe9bd35d5f831b5610d0846fcbcd3db3

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In Industrial and Manufacturing Engineering

In Management of Technology and Innovation

Citations in the corpus

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors (2019, methodology): “Since RFID technology has been widely applied in manufacturing (Zhong et al. 2013, Ding et al. 2018), an RFID reader/antenna is deployed to automatically identify the RFID-tagged parts entering its radiation range.”
IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (2014, background): “Among the procedure, intelligent labels are posted on the components in every part of the link to make it easy to track or invoke, together with the associated attribute information [68], [69], such as the manufacturer’s name, serial number, product type, product code, the place and time of the prod”
Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing (2017, background): “build an RFID-enabled real-time manufacturing execution system, which provides more practical planning and scheduling decisions for shop-floor [25].”
IoT-based real-time production logistics synchronization system under smart cloud manufacturing (2015, background): “The authors ’ team mainly focuses on the PL fields, developing the IoT-based PL systems for both individual manufacturers [12 – 14] and manufacturer clusters [15].”
Simulation in the design and operation of manufacturing systems: state of the art and new trends (2019, unknown): “A Radio Frequency Identiﬁcation (RFID)-enabled real-time manufacturing execution system is proposed in (Zhong et al. 2013); RFID devices are used in order to track and trace manufacturing objects and acquire real-time production data, identiﬁcation, and control of disturbances.”
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (2018, background): “[34] proposed a RFID-enabled real-time manufacturing execution system for mass-customization production, where RFID identifies anomalous information and feeds”
Advanced manufacturing systems: socialization characteristics and trends (2015, background): “In addition, with the expansion of RFID, wired and wireless sensor networks, GPS and other IoT-related technologies (Zhong et al. 2013; Fabian et al. 2012; Kyusakov et al. 2013) for the smart logistics (McKelvey et al. 2009; Sarraj et al. 2014), it provides more opportunities and convenience for use”
A big data approach for logistics trajectory discovery from RFID-enabled production data (2015, unknown): “The enormous RFID-enabled logistics data closely relate to the complex operations on manufacturing shopfloors (Zhong et al., 2013).”
Toward New-Generation Intelligent Manufacturing (2018, background): “Intelligent production is the main activity of new-generation intelligent manufacturing [40,59,60], and intelligent production lines, intelligent workshops, and intelligent plants are the main carriers of intelligent production [61–63].”
Smart manufacturing (2018, background): “Smart machines such as intelligent personal assistants include Amazon Echo integrated with other IoT-enabled and digitally connected devices to provide machine-controlled environments and experiences (Zhong, 2013).”
Literature review on the ‘Smart Factory’ concept using bibliometric tools (2017, methodology): “For example, Zhong et al. (2013) presented a real-time manufacturing execution system based on RFID technology.”
Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors (2017, background): “Currently, decision-making parties are based on historical experiences, which entirely complete with their own subjective consciousness, resulting in inaccurate, untimely and incomplete consequences (Zhong, Dai et al. 2013).”