Agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing

Zhang, Yingfeng; Huang, George Q.; Qu, Ting; Ho, Oscar

doi:10.1080/09511920903440354

Cited by 75 publications

(14 citation statements)

References 26 publications

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“…Zhang et al (2008) describes a smart Kanban system using RFID technologies for shop-floor management. Several relevant real-time manufacturing data capturing cases have been illustrated in RFID-enabled fixedposition assembly (Huang et al 2007), wireless production line (Huang et al 2008a), wireless shop-floor inventory management (Huang et al 2008b) and all-in-one smart gateway (Zhang et al 2010b). More recently, Zhang et al (2010c) present an agent-based workflow management framework for RFID-enabled real-time reconfigurable manufacturing.…”

Section: Real-time Manufacturing Information Capturingmentioning

confidence: 99%

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

et al. 2010

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In extended enterprises, real-time manufacturing information tracking plays an important role and aims to provide the right information to the right person at the right time in the right format to achieve optimal production management among the involved enterprises. However, many enterprises are caused by lack of timely, accurate and consistent manufacturing data. The laggard information transfer flow and the unmatched information transfer method bring extended enterprises much more uncertainty and unknowingness. This paper proposes a RFID-enabled real-time manufacturing information tracking infrastructure (RTMITI) to address the real-time manufacturing data capturing and manufacturing information processing methods for extended enterprises. Following the proposed infrastructure, the traditional manufacturing resources such as employees, machines and materials are equipped with RFID devices (Readers and Tags) to build the real-time data capturing environment. In addition, a series of manufacturing information processing methods are established to calculate and track the real-time manufacturing information such as realtime manufacturing cost, progress, WIP (Work-in-progress) inventory etc. in parts/assemblies/products at machines/shop

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Section: Real-time Manufacturing Information Capturingmentioning

confidence: 99%

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

et al. 2010

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“…To our knowledge the work regarding the use of workflow management mechanisms in industrial environments is limited: e.g. [12] proposes the use of agent-based workflow management mechanisms in industrial automation. However, the application described therein is different, as in this work equipments and smart objects are wrapped as agents and exposed as web services that contain real-time status information, which can then be used to form a workflow that describes a manufacturing process.…”

Section: Introductionmentioning

confidence: 99%

QoS-oriented Service Management in clouds for large scale industrial activity recognition

Voulodimos

Kyriazis

Gogouvitis

et al. 2011

2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)

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Abstract-Motivated by the need of industrial enterprises for supervision services for quality, security and safety guarantee, we have developed an Activity Recognition Framework based on computer vision and machine learning tools, attaining good recognition rates. However, the deployment of multiple cameras to exploit redundancies, the large training set requirements of our time series classification models, as well as general resource limitations together with the emphasis on real-time performance, pose significant challenges and lead us to consider a decentralized approach. We thus adapt our application to a new and innovative real-time enabled framework for service-based infrastructures, which has developed QoS-oriented Service Management mechanisms in order to allow cloud environments to facilitate real-time and interactivity. Deploying the Activity Recognition Framework in a cloud infrastructure can therefore enable it for large scale industrial environments.

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“…It means the framework may be redesigned if the application is changed. In some frameworks in [3,5], the conception is good. But how to easily apply the concept design into real-life manufacturing plants should be further investigated.…”

Section: Introductionmentioning

confidence: 99%

“…In order to improve the rapid response and optimal decision of shopfloor level, real-time manufacturing data and information tracking and tracing play a significant role [2][3][4]. Automated identification, as the core technique of IoT, has been widely adapted to shop-floor for capturing the real-time data.…”

Section: Introductionmentioning

confidence: 99%

“…In the field of real-time production management technique, Huang et al [2] designed a RFID-based wireless manufacturing for walking-worker assembly shops with fixed-position layouts. Considering the difference businesses in different companies, in our previous work, Zhang et al presented an agentbased workflow management strategy [3] and a smart objects management system [4] for RFID-enabled real-time reconfigurable manufacturing. By extending and adopting the concept of cloud computing for manufacturing, Wang and Xu [5] proposed an interoperable manufacturing perspective.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things

Zhang

Wang

Liu

et al. 2014

Advances in Mechanical Engineering

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Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shopfloor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance.

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Agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing

Cited by 75 publications

References 26 publications

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

RFID-enabled real-time manufacturing information tracking infrastructure for extended enterprises

QoS-oriented Service Management in clouds for large scale industrial activity recognition

Real-Time Shop-Floor Production Performance Analysis Method for the Internet of Manufacturing Things

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