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Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium

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Operations Research and Enterprise Systems (ICORES 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 577))

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Abstract

Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing goal. Success of VE, as a consortium, highly depends on the success of its partners. So it is very important to choose the most appropriate companies to enroll in VE. In this study a Fuzzy Inference System (FIS) based approach is developed to evaluate and select the potential enterprises. The evaluation is conducted based on four main criteria; unit price, delivery time, quality and past performance. These criteria are considered as inputs of FIS and specific membership functions are designed for each. By applying fuzzy rules the output of the model, partnership chance, is calculated. In the end, the trustworthy of the model is tested and verified by comparing it with fuzzy-TOPSIS technique providing a sample.

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Acknowledgments

This study is being funded by SAN-TEZ project No. 00979.stz. 2011-12 of Turkish Ministry of Science, Technology and Industry. Authors are sincerely thankful for continuous support of OSTIM Industrial Park management.

Author information

Authors and Affiliations

  1. Mechanical Engineering Department, Middle East Technical University, Ankara, Turkey

    Shahrzad Nikghadam & Bahram LotfiSadigh

  2. Computer Engineering Department, TOBB University of Economics and Technology, Ankara, Turkey

    Ahmet Murat Ozbayoglu

  3. Mechanical Engineering Department, TOBB University of Economics and Technology, Ankara, Turkey

    Hakki Ozgur Unver

  4. Mechanical Engineering, Atilim University, Ankara, Turkey

    Sadik Engin Kilic

Authors
  1. Shahrzad Nikghadam
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  2. Bahram LotfiSadigh
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  3. Ahmet Murat Ozbayoglu
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  4. Hakki Ozgur Unver
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  5. Sadik Engin Kilic
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Corresponding author

Correspondence to Shahrzad Nikghadam .

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Editors and Affiliations

  1. EPFL SB-DO, Lausanne, Switzerland

    Dominique de Werra

  2. MAS of INFORMS, Madison, Alabama, USA

    Greg H. Parlier

  3. Complutense University, Madrid, Spain

    Begoña Vitoriano

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© 2015 Springer International Publishing Switzerland

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Nikghadam, S., LotfiSadigh, B., Ozbayoglu, A.M., Unver, H.O., Kilic, S.E. (2015). Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium. In: de Werra, D., Parlier, G., Vitoriano, B. (eds) Operations Research and Enterprise Systems. ICORES 2015. Communications in Computer and Information Science, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-27680-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-27680-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27679-3

  • Online ISBN: 978-3-319-27680-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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