Skip to main content
Book cover

International Conference on Operations Research and Enterprise Systems

ICORES 2015: Operations Research and Enterprise Systems pp 104–115Cite as

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

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

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.

Keywords

  • Virtual enterprise
  • Partner selection
  • Fuzzy Inference System

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-27680-9_7
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   54.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-27680-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   69.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

References

  1. Bevilacqua, M., Petroni, A.: From traditional purchasing to supplier management; a fuzzy logic based approach to supplier selection. Int. J. Logist., Res. Appl. 5, 235–255 (2010)

    CrossRef  Google Scholar 

  2. Chen, T.-Y., Tsao, C.-Y.: The interval-valued fuzzy TOPSIS method and experimental analysis. Fuzzy Sets Syst. 159(11), 1410–1428 (2008)

    CrossRef  MathSciNet  MATH  Google Scholar 

  3. Fuqing, Z., Yi, H., Dongmei, Y.: A multi-objective optimization model of the partner selection problem in a virtual enterprise and its solution with genetic algorithms. Int. J. Adv. Manuf. Technol. 28(11–12), 1246–1253 (2005)

    Google Scholar 

  4. Huang, X., Wong, Y., Wang, J.: A two-stage manufacturing partner selection framework for virtual enterprises. Int. J. Comput. Integr. Manuf. 17(4), 294–304 (2004)

    CrossRef  Google Scholar 

  5. Mamdani, E., Assilian, S.: An experiment in linguistic synthesis with fuzzy-logic-controller. Int. J. Man-Mach. Stud. 7, 1–13 (1975)

    CrossRef  MATH  Google Scholar 

  6. Mikhailov, L.: Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Int. J. Manag. Sci. 30, 393–401 (2002)

    CrossRef  Google Scholar 

  7. Sari, B., Sen, T., Kilic, S.E.: AHP model for the selection of partner companies in virtual enterprises. Int. J. Adv. Manuf. Technol. 38(3–4), 367–376 (2007)

    Google Scholar 

  8. Shing, J., Jang, R.: Adaptive-network-based fuzzy inference system. Trans. Syst., Man Cybern. 23, 665–685 (1993)

    CrossRef  Google Scholar 

  9. Ye, F.: An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection. Expert Syst. Appl. 37(10), 7050–7055 (2010)

    CrossRef  Google Scholar 

  10. Camarinha-Matos, L., Afsarmanesh, H.: The virtual enterprise concept. In: Infrastructure for Virtual Enterprises Networking Industrial Enterprises, pp. 3–4. Kluwer Academic Publishers, London (1999)

    Google Scholar 

  11. Zadeh, L.A.: Fuzzy sets. In: Information and Control, pp. 338–353 (1965)

    Google Scholar 

  12. Nikghadam, S., Kharrati Shishvan, H., Khanmohammadi, S.: Minimizing earliness and tardiness costs in job-shop scheduling problems considering job due dates. In: Proceedings of AIPE, pp. 181–184. IEEE Press, Kuala lumpur (2011)

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bahram LotfiSadigh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ahmet Murat Ozbayoglu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hakki Ozgur Unver
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sadik Engin Kilic
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shahrzad Nikghadam .

Editor information

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

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27679-3

  • Online ISBN: 978-3-319-27680-9

  • eBook Packages: Computer ScienceComputer Science (R0)