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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)


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.


  • Virtual enterprise
  • Partner selection
  • Fuzzy Inference System

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

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Correspondence to Shahrzad Nikghadam .

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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.

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