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Novel Computational Intelligence for Optimizing Cyber Physical Pre-evaluation System

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Computational Intelligence for Decision Support in Cyber-Physical Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 540))

Abstract

Owing to the quality heterogeneity of returned used products, firms engaged in re-manufacturing activities are obliged to employ 100 % inspection of these products to evaluate their quality and suitability for re-manufacturing. In addition to visual inspection, a recent tendency is to use data recorded in electronic devices (e.g., radio frequency identification (RFID)) implanted in the products. In this way, information is obtained quickly without the need for complete (and expensive) product disassembly. Nevertheless, making sense of RFID data in a complex cyber physical system (CPS) environment (which involves such as cloud computing for used product life cycle information retrieval and physically used products scanning) is a complex task. For instance, if an RFID readers fails, there may be missing values exist. The purpose of this chapter is to employ two computational intelligence (CI) optimization methods which can improve the reliability of such inspection process.

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Author information

Authors and Affiliations

  1. Department of Mechanical and Aeronautical Engineering, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Pretoria, South Africa

    Bo Xing

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  1. Bo Xing
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Correspondence to Bo Xing .

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Editors and Affiliations

  1. Department of Electrical Engineering, National University of Science and Technology (NUST), Islamabad, Pakistan

    Zeashan H Khan

  2. School of Engineering and Technology, CQ University, North Rockhampton, Queensland, Australia

    A. B. M. Shawkat Ali

  3. Fraunhofer Institute, Bonn, Germany

    Zahid Riaz

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Xing, B. (2014). Novel Computational Intelligence for Optimizing Cyber Physical Pre-evaluation System. In: Khan, Z., Ali, A., Riaz, Z. (eds) Computational Intelligence for Decision Support in Cyber-Physical Systems. Studies in Computational Intelligence, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-4585-36-1_15

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  • DOI: https://doi.org/10.1007/978-981-4585-36-1_15

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  • Online ISBN: 978-981-4585-36-1

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