• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Editorial Staff
    • Publication Ethics
    • Indexing and Abstracting
    • Related Links
    • FAQ
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
International Journal of Research in Industrial Engineering
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 7 (2018)
Volume Volume 6 (2017)
Volume Volume 5 (2016)
Volume Volume 4 (2015)
Volume Volume 3 (2014)
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 2 (2013)
Volume Volume 1 (2012)
Ashoori, M., Tarokh, M. (2014). Applying the Process Mining Project Methodology for Insurance Risks Reduction. International Journal of Research in Industrial Engineering, 3(4), 57-69.
M. Ashoori; M.J. Tarokh. "Applying the Process Mining Project Methodology for Insurance Risks Reduction". International Journal of Research in Industrial Engineering, 3, 4, 2014, 57-69.
Ashoori, M., Tarokh, M. (2014). 'Applying the Process Mining Project Methodology for Insurance Risks Reduction', International Journal of Research in Industrial Engineering, 3(4), pp. 57-69.
Ashoori, M., Tarokh, M. Applying the Process Mining Project Methodology for Insurance Risks Reduction. International Journal of Research in Industrial Engineering, 2014; 3(4): 57-69.

Applying the Process Mining Project Methodology for Insurance Risks Reduction

Article 5, Volume 3, Issue 4, Autumn 2014, Page 57-69  XML PDF (275.37 K)
Document Type: Research Paper
Authors
M. Ashoori1; M.J. Tarokh email 2
1Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.
2Department of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran
Abstract
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.
Keywords
Process mining; risk; Process Mining Project Methodology; case study
Statistics
Article View: 94
PDF Download: 304
Home | Glossary | News | Aims and Scope | Sitemap
Top Top


This work is licensed under a Creative Commons Attribution - Non-commercial 3.0

Journal Management System. Designed by sinaweb.