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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/64871

    Title: 一致化不同顆粒度所衍生企業流程之研究;Solving multi-level business process consistence issues based on Heuristic algorithm
    Authors: 傅嘉良;Fu,Chia-Liang
    Contributors: 工業管理研究所
    Keywords: 顆粒度;企業流程;流程探勘;啟發式演算法;價值鏈;生產力;grain;business processe;process mining;heuristics algorithm;value chain;productivity
    Date: 2014-07-17
    Issue Date: 2014-10-15 14:31:24 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 流程探勘技術被廣泛利用於企業流程管理,而目前許多研究指出利用流程探

    ;Process mining technology has been widely used in business process management.
    At present many studies have indicated the use of process mining deduced from the
    event logs show that if the business process and business process models expected are
    inconsistent, it may be a risk of internal mismanagement.
    In the process of deduced business processes, the event log has a different levels
    result in different of grains. As the result, in this study we try to resolve the
    differences business process deduced from the different grain in the same database.

    On the other hand, business process derives from the event logs usually use the
    frequency of the activities interaction to determine the direction of the business
    processes. But this method ignores the few times and high-value business processes,
    the heuristic algorithms cannot identify the real business operations business process

    This study presents a new method to replace to derive business processes use the
    frequency, against quantity and processes value to derive business processes.

    In this study, we use the directly dependent coefficient of the adjusted heuristic
    algorithm to solve the problem of the difference consistency, and propose a new way
    to adjust directly dependent coefficients, which can effectively improve the accuracy
    and solving speed of the heuristic algorithm.

    In this study, we use the stone industry for case validation, comparing two business
    processes deduced from different grain, give one of the business processes a directly
    dependent coefficient threshold value, then use of heuristic algorithms for solving the iv

    corresponding direct dependent coefficient threshold value. This method can solve the
    inconsistent business processes from the different grain in the same database, and
    identify the corresponding consistent business processes.
    Appears in Collections:[工業管理研究所 ] 博碩士論文

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