• DocumentCode
    1826865
  • Title

    Using multiple criteria decision analysis for supporting decisions of Business Process Management

  • Author

    Campos, A.C.S.M. ; de Almeida, A.T.

  • Author_Institution
    Dept. of Manage. Eng., Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    Many companies are engaged in increasing their productivity and improving the quality of their products and operations. A means to achieve such improvements is to adopt Business Process Management practices. Techniques to analyze, evaluate and improve business processes are deemed Business Process Modeling. Currently, there are several methodologies and techniques for modeling to choose from. The business process modeling method selected for modeling can directly impact on the result of BPM. Therefore, in order to help both academics and practitioners, a model is proposed that will sort business process modeling methods based on the objectives of modeling using the ELECTRE TRI method. This model can serve as a basis for evaluating modeling methods, and thus act as a guide for organizations and serve for a pre-analysis that may support future choice. We use a Product Development process in an automobile company as an example to demonstrate the model.
  • Keywords
    commerce; operations research; ELECTRE TRI method; business process management; business process modeling; multiple criteria decision analysis; product development process; product quality; Analytical models; Biological system modeling; Companies; Indexes; Object oriented modeling; Sorting; Business Process Management; Business Process Modeling Techniques; ELECTRE TRI; Multicriteria Decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674424
  • Filename
    5674424