This paper attempts to establish a quantitative relationship between output indicators such as automated-guided vehicle (AGV) utilization and input variables like part arrival rate, processing times at machining centers, and various decision rules employed at AGV and Resources in a dynamic dedicated flexible manufacturing system (FMS). Dummy data are generated and the system is simulated to produce the output indicator for a given set of input variables and decision rules. Design and controlling of a FMS require much investment. So it is essential to make best decisions for selection of a FMS option. The proposed Principle Component Analysis is performed on a dataset that contains requirement of FMS alternatives.


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    Titel :

    Designing and Controlling the Performance of FMS: Application of Principle Component Analysis


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Bajpai, Ram P. (Herausgeber:in) / Chandrasekhar, U. (Herausgeber:in) / Arankalle, Avinash R. (Herausgeber:in) / Bragadish, M. (Autor:in) / Venkatachalapathi, N. (Autor:in) / Rao, A. Ramakrishna (Autor:in)


    Erscheinungsdatum :

    2014-05-03


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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