Research on reliability evaluation of reconfigurable manufacturing system

Wei Dai*, Chuanliang Zhang, Paul G. Maropoulos, Yu Zhao

*Corresponding author for this work

    Research output: Chapter in Book/Published conference outputConference publication

    Abstract

    It is a crucial task to evaluate the reliability of manufacturing process in product development process. Process reliability is a measurement of production ability of reconfigurable manufacturing system (RMS), which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. An integration framework of manufacturing process reliability evaluation is presented together with product development process. A mathematical model and algorithm based on universal generating function (UGF) is developed for calculating the reliability of manufacturing process with respect to task intensity and process capacity, which are both independent random variables. The rework strategies of RMS are analyzed under different task intensity based on process reliability is presented, and the optimization of rework strategies based on process reliability is discussed afterwards.

    Original languageEnglish
    Title of host publication43rd International Conference on Computers & Industrial Engineering 2013 (CIE 43)
    PublisherCurran
    Pages431-439
    Number of pages9
    Volume1
    ISBN (Print)978-1-62993-437-2
    Publication statusPublished - 2013
    Event43rd international conference on Computers and Industrial Engineering 2013 - Hong Kong, China
    Duration: 16 Oct 201318 Oct 2013

    Conference

    Conference43rd international conference on Computers and Industrial Engineering 2013
    Abbreviated titleCIE43
    Country/TerritoryChina
    CityHong Kong
    Period16/10/1318/10/13

    Keywords

    • process reliability
    • reconfigurable manufacturing system
    • reliability evaluation
    • rework strategies

    Fingerprint

    Dive into the research topics of 'Research on reliability evaluation of reconfigurable manufacturing system'. Together they form a unique fingerprint.

    Cite this