Multi-cyber framework for availability enhancement of cyber physical systems

Parvin, Salma; Hussain, Farookh Khadeer; Hussain, Omar Khadeer; Thein, Thandar; Park, Jong Sou

doi:10.1007/s00607-012-0227-7

Cited by 38 publications

(17 citation statements)

References 17 publications

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“…This allows for a whole new degree of control, surveillance, transparency and efficiency in the production process. With regard to their structure, CPS have "two parallel networks to control, namely a physical network of interconnected components of the infrastructure and a cyber network comprised of intelligent controllers and the communication links among them" ( [13], p. 928). CPS realise the integration of these networks through the use of multiple sensors, actuators, control processing units and communication devices.…”

Section: Industry 40 Key Componentsmentioning

confidence: 99%

Industry 4.0 and the current status as well as future prospects on logistics

Hofmann

Rüsch

2017

Computers in Industry

1,374

743

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Section: Industry 40 Key Componentsmentioning

confidence: 99%

Industry 4.0 and the current status as well as future prospects on logistics

Hofmann

Rüsch

2017

Computers in Industry

1,374

743

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“…A multi-cyber (computational unit) framework was compared with traditional models to improve the availability of the CPS based on the Markov model is reported in literature. The evaluation was carried out in terms of availability, downtime, downtime costs, and the reliability of the CPS framework [86]. Finally, another work considered an Internet-based computing platform in the form of a global computing node.…”

Section: Cps-based Co-simulation Frameworkmentioning

confidence: 99%

Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study

et al. 2019

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Nowadays, reliability of sensors is one of the most important challenges for widespread application of Internet-of-things data in key emerging fields such as the automotive and manufacturing sectors. This paper presents a brief review of the main research and innovation actions at the European level, as well as some on-going research related to sensor reliability in cyber-physical systems (CPS). The research reported in this paper is also focused on the design of a procedure for evaluating the reliability of Internet-of-Things sensors in a cyber-physical system. The results of a case study of sensor reliability assessment in an autonomous driving scenario for the automotive sector are also shown. A co-simulation framework is designed in order to enable real-time interaction between virtual and real sensors. The case study consists of an IoT LiDAR-based collaborative map in order to assess the CPS-based co-simulation framework. Specifically, the sensor chosen is the Ibeo Lux 4-layer LiDAR sensor with IoT added capabilities. The modeling library for predicting error with machine learning methods is implemented at a local level, and a self-learning-procedure for decision-making based on Q-learning runs at a global level. The study supporting the experimental evaluation of the co-simulation framework is presented using simulated and real data. The results demonstrate the effectiveness of the proposed method for increasing sensor reliability in cyber-physical systems using Internet-of-Things data.

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“…The concept of Industry 4.0 involves comprehensive participation of modern technologies that change the modern industry. These include, among others (Parvin et al, 2013, Liao et al, 2017 or (Nolin and Olson, 2016), the Internet of things, the Internet of services, ERP cloud systems, intelligent factories, artificial intelligence, intelligent production, robotics, digital transformation, augmented reality, man-machine interfaces, as well as cyber-physical systems. An essential element combining these solutions within Industry 4.0 is the widespread use of the Internet in operational work.…”

Section: Industry 40 and Erp Systemsmentioning

confidence: 99%

Multi-criteria decision method for choosing ERP cloud systems in Industry 4.0 era

Torbacki

2019

Multidisciplinary Aspects of Production Engineering

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The article presents the issues covering the modern ERP cloud systems for manufacturing companies within the currently developed concept Industry 4.0. In this approach, research problems arose as to which parameters and characteristics of ERP cloud systems are the most important from the point of view of manufacturing companies as well as how the process of choosing an ERP system should be conducted. In addition, mutual relationships between these parameters were established. In the article, a multi-criteria decision analysis (MCDA) was used to assess these characteristics. The Decision making trial and evaluation laboratory (DEMATEL) technique was chosen for this assessment. The article can be useful to people interested in modern IT solutions in the production industries.

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Multi-cyber framework for availability enhancement of cyber physical systems

Cited by 38 publications

References 17 publications

Industry 4.0 and the current status as well as future prospects on logistics

Industry 4.0 and the current status as well as future prospects on logistics

Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study

Multi-criteria decision method for choosing ERP cloud systems in Industry 4.0 era

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