Agent-based Workflow Management for RFID-enabled Real-time Reconfigurable Manufacturing

Huang, George Q.; Zhang, Yingfeng; Dai, Qingyun; Ho, Oscar; Xu, Frank J.

doi:10.1007/978-1-84882-287-0_14

Cited by 25 publications

(27 citation statements)

References 20 publications

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“…Due to the quality and quantity of real-time RFID data, there is extensive potential to utilise such data for the active adaptation and reconfiguration of a system as reported by Huang et al [227] and the creation of wireless kanbans with embedded RFIDs as outlined by Zhang et al [228]. RFID technology finds widespread exploitation in supply chain management and logistics for improving decision responsiveness and reducing supply chain cost via the provision of verified data [229,230].…”

Section: Rfid Methods For the Verification Of Production Logisticsmentioning

confidence: 98%

Design verification and validation in product lifecycle

2010

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Section: Rfid Methods For the Verification Of Production Logisticsmentioning

confidence: 98%

Design verification and validation in product lifecycle

2010

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“…This algorithm mainly considers individual competencies, mobility, and employee preference, as well as the competency requirements associated with each assembly activity with respect to both the current master assembly schedule and line balancing for each product. Agent-supported manufacturing systems have been further promoted with the use of RFID technology, such as RFID-enabled intelligent agent system (Trappey et al 2009), agent-based distributed production-control framework with the UHF RFID technology ), and agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing (Zhang et al 2010). …”

Section: Agent-based Manufacturing Technologymentioning

confidence: 98%

Intelligent assembly system for mechanical products and key technology based on internet of things

et al. 2014

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The Internet of Things (IoT) has a significant effect on the development of manufacturing technology. Therefore, according to the analysis of the challenges and opportunities faced by manufacturing industry, this study uses the assembly process of mechanical products as the research object and analyzes the characteristics of IoT-based manufacturing systems. To improve the interconnection, perception, efficiency, and intelligence of the assembly system, this study proposes the concept of IoT-enabled intelligent assembly system for mechanical products (IIASMP). The IIASMP framework, which is based on advanced techniques such as information and communication technology, sensor network, and radio-frequency identification, is then presented. Key technologies under this framework, including assembly resources identification, information interaction technology, multi-source data perception and fusion, intelligent assembly agent, and value-added data and dynamic self-adaptive optimization, are described. Finally, the current results of IIASMP are described in the case study. The proposed framework and methods aims to have an important reference value for applying the key technologies and be used widely in the intelligent manufacturing field.

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“…develops a RFID-based smart Kanban system for work-in-progress (WIP) management. An Agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing has been described by Zhang et al [8].…”

Section: Introductionmentioning

confidence: 99%

Agent-based real-time assembly line management for wireless job shop environment

Zhang

Huang

et al. 2010

2010 IEEE International Conference on Mechatronics and Automation

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Recent developments in wireless technologies have created opportunities for developing next-generation manufacturing systems with real-time traceability, visibility and interoperability in shop floor planning, execution and control. This paper discusses how to deploy wireless and intelligent technologies to convert physical objects in manufacturing systems into smart objects to introduce and improve the interoperability and visibility between them and thus with manufacturing decision support systems. A reference architecture for wireless manufacturing (WM) is proposed where three types of smart objects are identified. At the same time, the concept of smart object agent (SOA) is presented and the corresponding framework of smart objects management system (SOMS) is constructed. Under this framework and the concept of SOA, a SOA-based WM environment is studied and demonstrated using a near real-life simplified product assembly line for the collection and synchronization of the real-time field data from manufacturing workshops.

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Agent-based Workflow Management for RFID-enabled Real-time Reconfigurable Manufacturing

Cited by 25 publications

References 20 publications

Design verification and validation in product lifecycle

Design verification and validation in product lifecycle

Intelligent assembly system for mechanical products and key technology based on internet of things

Agent-based real-time assembly line management for wireless job shop environment

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