Development of an intelligent agent system for collaborative mold production with RFID technology

Trappey, Amy J.C.; Lu, Tung-Hung; Fu, Li-Dien

doi:10.1016/j.rcim.2007.06.002

Cited by 37 publications

(21 citation statements)

References 21 publications

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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: 99%

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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Section: Agent-based Manufacturing Technologymentioning

confidence: 99%

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

et al. 2014

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“…Multi-agent systems have been applied to distributed planning along the supply chain [29], project coordination and monitoring [30] and coordination of engineering activities in new product development projects [31]. Creation of instant virtual enterprises and their optimization have also been supported by the use of agents [32,33].…”

Section: Product Information Exploitation For Business Process Integrmentioning

confidence: 99%

A reference framework following a proactive approach for Product Lifecycle Management

Marchetta

Mayer²,

Forradellas

2011

Computers in Industry

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Product Lifecycle Management (PLM) has been identified as a key concept within manufacturing industries for improving product quality, time-to-market and costs. Previous works on this field are focused on processes, functions and information models, and those aimed at putting more intelligence on products are related to specific parts of the product lifecycle (e.g. supply chain management, shop floor control). Therefore, there is a lack of a holistic approach to PLM, putting more intelligence on products through the complete lifecycle. In this paper, a PLM framework supported by a proactive-product approach based on intelligent agents is proposed. The developed model aims at being a first step toward a reference framework for PLM, and complements past works on both product information and business process models (BPM), by putting proactivity on product's behavior. An example of an instantiation of the reference framework is presented as a case study.

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“…Trappey et al [32] introduced an agent-based collaborative mold production (ACMP) system which supports the collaborative and autonomous mold manufacturing out sourcing processes. ACMP provided autonomous features to handle three major tasks in outsourcing: vendor selection, task selection, and real-time outsourcing task progress tracking.…”

Section: Implementation Of Rfid Based Cargo Monitoring Systemmentioning

confidence: 99%

Design and implementation of RFID based air-cargo monitoring system

Chang

Son

2011

Advanced Engineering Informatics

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Development of an intelligent agent system for collaborative mold production with RFID technology

Cited by 37 publications

References 21 publications

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

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

A reference framework following a proactive approach for Product Lifecycle Management

Design and implementation of RFID based air-cargo monitoring system

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