Development of an Ethernet-based equipment integration framework for factory automation

Hung, Min Hsiung; Tsai, Johnny; Cheng, Fan‐Tien; Yang, Haw Ching

doi:10.1016/j.rcim.2004.01.003

Cited by 22 publications

(8 citation statements)

References 5 publications

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“…before it exists, and consequently it requires models of the system. The following approaches can be quoted: methods based on analytic models (Worst Case evaluation [5], Network Calculus [2]), exhaustive state space model exploration (timed model-checking [13], probabilistic model-checking [3]) and partial state space model exploration (simulation [9], [14]). The second kind of evaluation method aims to evaluate the performances of a system during its running phase, i.e.…”

Section: Introductionmentioning

confidence: 99%

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Denis

Ruel

Faure

et al. 2007

2007 IEEE Conference on Emerging Technologies &Amp; Factory Automation (EFTA 2007)

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Section: Introductionmentioning

confidence: 99%

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Denis

Ruel

Faure

et al. 2007

2007 IEEE Conference on Emerging Technologies &Amp; Factory Automation (EFTA 2007)

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“…The time and cost encountered for setting up the layered communication system prohibits the broader applications. As a result, Ethernet technologies (e.g., Fast Ethernet and Ethernet Switch) are becoming a mainstay of factory automation networking [22]. Development of web-based manufacturing system is also numerous in the literature, well illustrating the problems in Internet-based teleoperations.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Sensor-based Remote Quality Control Application in Automotive Components Assembly

Kwon

Park

Hong

et al. 2010

Concurrent Engineering

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Many global enterprises are now operating their production facilities in foreign countries in an effort to capitalize on the merits that each country provides. In such environment, where design, production, supply chains, and other business functions are geographically separated, great challenges exist in terms of how to effectively measure, control, and monitor the product quality on remotely situated production lines. In this context, this article presents a novel, holistic, network-based quality control strategy, which is called EQM (short for e-quality for manufacture). With EQM, remotely situated designers can access real-time quality data and update quality control processes as changes in production occur. EQM also allows the quality data to be integrated within the company’s information network with other related business functions. Such integration enables instant generation of corrective actions, such as automatic notification to supply chains/vendors for nonconformities. EQM relieves human operators from laborious, tedious, and error-prone tasks of quality monitoring and sampling practices, hence greatly improves the overall efficiency of production operations. The proposed remote-quality control strategy has been tested using the networked-robotic cell, which produces automotive starter gear housing assemblies. The results vindicate the notion of EQM, manifesting many potential benefits for industry.

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“…The significance of this time performance explains why several methods have been developed to obtain, from a model of the system, either its distribution, like simulation methods (Pereira et al (2004)), or the upper and lower bounds of this distribution, or an over-(under-) estimation of these bounds, e.g. analytic methods based on worst-case (best-case) performance estimation (Hung et al (2004)) or on network calculus (Georges et al (2002)). For NAS that are used in critical systems, focus is mainly, or even exclusively, put on the bounds of the distribution; in the rest of this paper, only this kind of application and then bounds assessment will be considered.…”

Section: Introductionmentioning

confidence: 99%

Finding the Bounds of Response Time of Networked Automation Systems by Iterative Proofs

Ruel¹

2009

13th IFAC Symposium on Information Control Problems in Manufacturing

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Response time of modern automation systems is not constant but is featured by a distribution of values; finding the upper and lower bounds of this distribution is a crucial issue when designing critical systems. This paper shows how to obtain these bounds by proving timed properties on a formal model of the system, in the form of communicating timed automata. In this approach, bounds are obtained by iterative proofs of properties which are expressed by means of a parametric observer. Comparison of analysis results of formal models to measures on real automation systems shows the accuracy and interest of this approach.

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Development of an Ethernet-based equipment integration framework for factory automation

Cited by 22 publications

References 5 publications

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Measuring the impact of vertical integration on response times in ethernet fieldbuses

Sensor-based Remote Quality Control Application in Automotive Components Assembly

Finding the Bounds of Response Time of Networked Automation Systems by Iterative Proofs

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