Architecting Networked Engineered Systems


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Architecting Networked Engineered Systems


Architecting Networked Engineered Systems

Author: Jelena Milisavljevic-Syed

language: en

Publisher: Springer Nature

Release Date: 2020-02-25


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In this monograph, the authors demonstrate how the integration of adaptability, operability, and re-configurability in the design of complex systems is indispensable for the further digitization of engineering systems in smart manufacturing. Globalization of the customer base has resulted in distributed and networked manufacturing systems. However, current design methods are not suitable to address variations in product design, changes in production scale, or variations in product quality necessitated by dynamic changes in the market. Adaptability, operability, and re-configurability are key characteristics that are necessary to address the limitations of the current methods used to design networked manufacturing systems. In recent years, the digital transformation driving Industry 4.0 has had an enormous impact on globally distributed manufacturing. Digitalisation, the integration of digital technology into networked engineered systems, is increasingly being adopted to respond to changes in the market. This is achieved by means of (a) the concurrent design of adaptable systems, (b) addressing flexibility in design parameters, (c) conducting an operability analysis, and (d) employing a reconfiguration strategy to address faults and variances in product quality and re-establish connectivity among the elements in the system. The design of manufacturing systems in the age of Industry 4.0 is addressed in this monograph. The authors introduce the concept of a ‘smart platform’ and a computational framework for the digitalization of networked manufacturing systems. They also suggest how the framework and techniques in this monograph are applicable beyond the manufacturing domain for architecting networked engineered systems in other industries such as chemical processes and health care, that are being transformed through the adoption of the Industry 4.0 construct.

Knowledge-Based and Intelligent Information and Engineering Systems, Part I


Knowledge-Based and Intelligent Information and Engineering Systems, Part I

Author: Andreas Koenig

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-09-06


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The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 1: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 61 papers of Part 1 are organized in topical sections on artificial neural networks, connectionists systems and evolutionary computation, machine learning and classical AI, agent, multi-agentsystems, knowledge based and expert systems, intelligent vision, image processing and signal processing, knowledge management, ontologies, and data mining.

Knowledge-Based Intelligent Information and Engineering Systems


Knowledge-Based Intelligent Information and Engineering Systems

Author: Bogdan Gabrys

language: en

Publisher: Springer

Release Date: 2006-10-18


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The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.