Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems

Iarovyi, Sergii; Mohammed, Wael M.; Lobov, Andrei; Ferrer, Borja Ramis; Lastra, José L. Martínez

doi:10.1109/jproc.2015.2509498

Cited by 115 publications

(67 citation statements)

References 25 publications

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“…A conveyor belt controlled by a programmable logic controller (PLC) which is used to feed the cobot with light bulbs in the production. Close to the current use case is the one reported by (Iarovyi et al 2016) based on open-knowledge driven MES for conveyor belt systems and the agent based approach described by (Cupek et al 2016) for small batch production systems. Both applications have overlapping parts with the current work, but none of them is dealing with emerging solutions such as cobots, AGVs or AR visualization tools.…”

Section: Mes Vertical Integration Use Casementioning

confidence: 97%

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Smart CPS: vertical integration overview and user story with a cobot

Tamás

Murar

2018

International Journal of Computer Integrated Manufacturing

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In this paper an overview and a demonstration for the vertical integration of manufacturing enterprise layers are described by implementing the Manufacturing Execution System (MES). In the first part of the paper the details regarding the MES implementation are described, while in the second part the use case specific insights are highlighted. The presented use case contains each important step of a production line involving also a collaborative Baxter type robot and the state-of-the-art tools for MES implementation. The cobot-involved use case is relevant and generic enough in the context of Industry 4.0 offering a good overview of a typical vertical integration use case which can be generalized and applied to manufacturing scenarios. The paper ends with the lessons learned from the vertical integration process as well as future direction which can be followed in such a context.

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Section: Mes Vertical Integration Use Casementioning

confidence: 97%

“…Another integration of information systems in a manufacturing enterprise is presented in (Iarovyi et al 2016). This paper argues that efficient manufacturing operations can be achieved if data would have a common representation on all levels of information systems within a manufacturing enterprise.…”

Section: From 2015 Until Presentmentioning

confidence: 99%

Smart CPS: vertical integration overview and user story with a cobot

Tamás

Murar

2018

International Journal of Computer Integrated Manufacturing

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“…Further, although it is not mandatory, RESTful web services frequently employ the concept of Create, Read, Update and Delete (CRUD) by using different HTTP request methods which are mapped to GET, POST, PUT and DELETE [24]. In regard of usage in industrial cases, RESTful web services have been included in many approaches as discussed in [25][26][27][28][29].…”

Section: Web Services and Hypermediamentioning

confidence: 99%

Implementing and Visualizing ISO 22400 Key Performance Indicators for Monitoring Discrete Manufacturing Systems

et al. 2018

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The employment of tools and techniques for monitoring and supervising the performance of industrial systems has become essential for enterprises that seek to be more competitive in today’s market. The main reason is the need for validating tasks that are executed by systems, such as industrial machines, which are involved in production processes. The early detection of malfunctions and/or improvable system values permits the anticipation to critical issues that may delay or even disallow productivity. Advances on Information and Communication Technologies (ICT)-based technologies allows the collection of data on system runtime. In fact, the data is not only collected but formatted and integrated in computer nodes. Then, the formatted data can be further processed and analyzed. This article focuses on the utilization of standard Key Performance Indicators (KPIs), which are a set of parameters that permit the evaluation of the performance of systems. More precisely, the presented research work demonstrates the implementation and visualization of a set of KPIs defined in the ISO 22400 standard-Automation systems and integration, for manufacturing operations management. The approach is validated within a discrete manufacturing web-based interface that is currently used for monitoring and controlling an assembly line at runtime. The selected ISO 22400 KPIs are described within an ontology, which the description is done according to the data models included in the KPI Markup Language (KPIML), which is an XML implementation developed by the Manufacturing Enterprise Solutions Association (MESA) international organization.

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“…Currently, most effects on self-adaptation are based on rules [37], swarm intelligence [18] or knowledge [83] or ontology [84]. With the improvement of big data analytics technologies, more and more machine learning based self-adapting solutions are researched, these approaches are smarter, and can adapt to various environments automatically.…”

Section: Self-adaptability and Validationmentioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

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Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems

Cited by 115 publications

References 25 publications

Smart CPS: vertical integration overview and user story with a cobot

Smart CPS: vertical integration overview and user story with a cobot

Implementing and Visualizing ISO 22400 Key Performance Indicators for Monitoring Discrete Manufacturing Systems

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

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