An agent-based system for orchestration support of web service-enabled devices in discrete manufacturing systems

Herrera, Vladimir Villaseñor; Ramos, Axel Vidales; Lastra, José L. Martínez

doi:10.1007/s10845-011-0539-z

Cited by 12 publications

(1 citation statement)

References 24 publications

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“…Researchers have explored the opportunity to formalize models in business process management, an established field in information systems research, as there is a need for a modeling language for business processes that is formal enough and understandable by end users, not just by domain experts [128], which can transform them into a form that is executable by computer engines. Information systems have constructed effective modeling languages that have been successfully executed in various tools and engines, such as Coloured Petri nets [129,130], Business Process Execution Language (BPEL) [131], Integration Definition for Function Modeling (IDEF0) [132], Business Process Model and Notation (BPMN) [128], and System Modeling Language (SysML) [133].…”

Section: Influence Of Automated Technologies On Quality and Sustainabmentioning

confidence: 99%

Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia

et al. 2020

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Higher education institutions (HEIs) in many developed and developing countries are facing big challenges in terms of quality in the face of growing global demand. Ensuring quality education is necessary to secure future prosperity and promote sustainable development. Hence; to ensure the success and sustainability of higher strategy; it is necessary for HEIs to improve the quality of strategy implementation processes and address the dynamic complexities of their attributes to identify areas for improvement. However; there are obvious issues associated with strategy implementation related to process modeling; automation; dynamic complexity; and cognitive limitations. This research is a step toward bridging the gap in adopting computational models in the higher education strategy implementation process to foster its automation and promote its sustainability. The aim of this research is to study the phenomenon of computational strategy implementation in the higher education domain using grounded theory to understand the criteria and quality attributes of the strategy implementation process and to generate a descriptive and explanatory model for strategy quality attributes (SQAs) of higher education; which entails the implementation of automated technology and computational models for more effective and sustainable strategy.

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Section: Influence Of Automated Technologies On Quality and Sustainabmentioning

confidence: 99%

Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia

et al. 2020

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IOT‐HML: A hybrid machine learning technique for IoT enabled industrial monitoring and control system

Kota

Chandak²,

Patil

2022

Concurrency and Computation

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Industry 4.0 makes manufacturers more vulnerable to current challenges and makes it easier to adapt to market changes. This will increase the speed of innovation, make it more customer-oriented and lead to faster design processes. It is essential to focus on monitoring and controlling the production system before complex accidents occur. Moreover, an industrial control system facing information security problems in recent times because of the nature of IoT which affects the evaluation of abnormal predication. To overcome above research gaps, we shift to industrial 4.0 which combine IoT and mechanism learning for industrial monitor and manage. We propose a hybrid machine learning technique for IoT enabled industrial monitoring and control system (IoT-HML). Here, we concentrate both information security issues with accurate monitoring and control system. The first section of proposed IoT-HML system is to introduce the cat induced wheel optimization (IWO) algorithm for cluster formation. The process consists of clustering and cluster head (CH) selection. The source node forward information to destination through CH only which avoids the unwanted data loss and improve the security, because the information travel through trusted path. For route selection process, we utilize the cuckoo search algorithm to compute the optimal best path among multiples. In second section, we illustrate a coach and player learned neural network (CP-LNN) for monitoring the industrial and prevent from accidents by basic control strategies. Finally, the proposed IoT-HML system can evaluate with different set of data's to prove the effectiveness.

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Manufacturing Service Bus Integration Model for Highly Flexible and Scalable Manufacturing Systems

Morariu

Borangiu

et al. 2013

Service Orientation in Holonic and Multi Agent Manufacturing and Robotics

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An agent-based system for orchestration support of web service-enabled devices in discrete manufacturing systems

Cited by 12 publications

References 24 publications

Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia

Key Quality Attributes for Computational and Sustainable Higher Education Strategy Implementation in Saudi Arabia

IOT‐HML: A hybrid machine learning technique for IoT enabled industrial monitoring and control system

Manufacturing Service Bus Integration Model for Highly Flexible and Scalable Manufacturing Systems

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