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Investigation of Degradation and Upgradation Models for Flexible Unit Systems: A Systematic Literature Review

Author

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  • Thirupathi Samala

    (Department of Mechanical Engineering, NIT Warangal, Warangal 506004, India)

  • Vijaya Kumar Manupati

    (Department of Mechanical Engineering, NIT Warangal, Warangal 506004, India)

  • Maria Leonilde R. Varela

    (Department of Production and Systems, School of Engineering, University of Minho, 4804-533 Guimarães, Portugal)

  • Goran Putnik

    (Department of Production and Systems, School of Engineering, University of Minho, 4804-533 Guimarães, Portugal)

Abstract

Research on flexible unit systems (FUS) with the context of descriptive, predictive, and prescriptive analysis have remarkably progressed in recent times, being now reinforced in the current Industry 4.0 era with the increased focus on integration of distributed and digitalized systems. In the existing literature, most of the work focused on the individual contributions of the above mentioned three analyses. Moreover, the current literature is unclear with respect to the integration of degradation and upgradation models for FUS. In this paper, a systematic literature review on degradation, residual life distribution, workload adjustment strategy, upgradation, and predictive maintenance as major performance measures to investigate the performance of the FUS has been considered. In order to identify the key issues and research gaps in the existing literature, the 59 most relevant papers from 2009 to 2020 have been sorted and analyzed. Finally, we identify promising research opportunities that could expand the scope and depth of FUS.

Suggested Citation

  • Thirupathi Samala & Vijaya Kumar Manupati & Maria Leonilde R. Varela & Goran Putnik, 2021. "Investigation of Degradation and Upgradation Models for Flexible Unit Systems: A Systematic Literature Review," Future Internet, MDPI, vol. 13(3), pages 1-18, February.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:3:p:57-:d:505680
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    References listed on IDEAS

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    2. Ye, Zhenggeng & Cai, Zhiqiang & Zhou, Fuli & Zhao, Jiangbin & Zhang, Pan, 2019. "Reliability analysis for series manufacturing system with imperfect inspection considering the interaction between quality and degradation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 345-356.
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    7. Li, Naipeng & Gebraeel, Nagi & Lei, Yaguo & Bian, Linkan & Si, Xiaosheng, 2019. "Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 88-100.
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