Degradation modeling to predict the residual life distribution of parallel unit systems on benchmark instances

Akshay Chandra, Muneeb Ahsan, Somnath Lahiri, Suraj Panigrahi, Vijay Manupati, Eric Costa

    Research output: Chapter in Book/Report/Published conference proceedingChapterpeer-review

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    Abstract

    A manufacturing system often consists of multiple units as workcells with complex work systems to achieve the desired outcomes in an efficient and effective manner. Uncertain events such as machine down time or scheduled maintenance are unavoidable in any manufacturing unit. In this paper, we are trying to find the maximum workload of the remaining machines to fulfill the production requirements. To achieve this, a dynamic workload adjustment strategy has been proposed with dynamic upgradation of residual life distribution model. With parallel configurations and different benchmark instances the simulation experiments has been conducted to evaluate the degradation rate of different units. Results show that the proposed method is effective for finding the residual life of multi-unit systems.
    Original languageEnglish
    Title of host publicationLecture Notes in Engineering and Computer Science
    Subtitle of host publicationProceedings of The World Congress on Engineering 2017
    EditorsS. I. Ao, L. Gelman , D. Hukins , A. Hunter , A. Korsunsky
    Pages783-787
    Number of pages5
    Publication statusPublished - 2017
    EventWorld Congress on Engineering 2017 - London, United Kingdom
    Duration: 5 Jul 20177 Jul 2017

    Publication series

    NameLecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2017 (WCE 2017)
    PublisherNewswood Limited
    VolumeII
    ISSN (Print)2078-0958
    ISSN (Electronic)2078-0966

    Conference

    ConferenceWorld Congress on Engineering 2017
    Abbreviated titleWCE 2017
    Country/TerritoryUnited Kingdom
    CityLondon
    Period5/07/177/07/17

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