IDEAS home Printed from https://ideas.repec.org/a/cvv/journ4/v4y2017i1p132-138.html

Application of Fuzzy Multi-Criteria Decision Making Methods on Six Sigma Projects Selection

Author

Listed:
  • Engin ÇAKIR

    (Department of Business Administration, Adnan Menderes University, Aydýn, Turkey.)

Abstract

Six sigma method widely applied in production and service businesses is known as a project-oriented method. In six sigma method, selection of the prior project among others can be considered as a multi -criteria decision making problem. The conducted literature review has revealed that there is a large number of methods to select six sigma projects. It is more appropriate to use fuzzy multi-criteria decision making methods in project selection since evaluation criteria of six sigma projects include uncertainties. The aim of this study is to select the most appropriate project as a result of evaluating the projects by Fuzzy VIKOR, Fuzzy TOPSIS and Fuzzy COPRAS as methods of fuzzy multicriteria decision-making and integrating the ranking scores obtained from each method by Copeland method. The proposed method has been implemented in a large scale production company, operating in Aydýn ASTÝM Organized Industrial Zone.

Suggested Citation

  • Engin ÇAKIR, 2017. "Application of Fuzzy Multi-Criteria Decision Making Methods on Six Sigma Projects Selection," Journal of Social and Administrative Sciences, EconSciences Journals, vol. 4(1), pages 132-138, March.
  • Handle: RePEc:cvv:journ4:v:4:y:2017:i:1:p:132-138
    as

    Download full text from publisher

    File URL: http://econsciences.com/index.php/JSAS/article/download/1263/1264
    Download Restriction: no

    File URL: http://econsciences.com/index.php/JSAS/article/view/1263
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvv:journ4:v:4:y:2017:i:1:p:132-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bilal KARGI (email available below). General contact details of provider: https://journals.econsciences.com/index.php/JSAS .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.