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    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • International Journal of Research in Industrial Engineering
    • Volume 3, Issue 4
    • مشاهده مورد
    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • International Journal of Research in Industrial Engineering
    • Volume 3, Issue 4
    • مشاهده مورد
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    Applying the Process Mining Project Methodology for Insurance Risks Reduction

    (ندگان)پدیدآور
    Ashoori, M.Tarokh, M.J.
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    نوع مدرک
    Text
    Research Paper
    زبان مدرک
    English
    نمایش کامل رکورد
    چکیده
    Risk is a destructive phenomenon, which is an integral part of any business. Process mining is a form of a business process analysis based on the recorded process data by information systems, whose its aim is to discover process, control, data, organizational and social structures from event logs. A process mining project methodology (PMPM) is considered as especially useful in the process mining project, which a comprehensive methodology that can be used as an efficient and effective approach for applying process mining in practice. This methodology made us sure that all important activities are performed and prevented of redundant work. This paper utilizes the PMPM for risk reduction to increase the organization agility against competitors and obtain the more market share. Evaluating the case study results with trace alignment method confirms expert confirmations. Trace alignment shows interesting patterns and provide better insight on process executions.
    کلید واژگان
    Process mining
    risk
    Process Mining Project Methodology
    case study

    شماره نشریه
    4
    تاریخ نشر
    2014-12-01
    1393-09-10
    ناشر
    Ayandegan Institute of Higher Education, Iran
    سازمان پدید آورنده
    Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.
    Department of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran

    شاپا
    1925-7805
    1925-7813
    URI
    http://www.riejournal.com/article_48008.html
    https://iranjournals.nlai.ir/handle/123456789/16961

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