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Authors: Shahrzad Nikghadam 1 ; Bahram Lotfi Sadigh 1 ; Ahmet Murat Ozbayoglu 2 ; Hakki Ozgur Unver 2 and Sadik Engin Kilic 3

Affiliations: 1 Middle East Technical University, Turkey ; 2 TOBB University of Economics and Technology, Turkey ; 3 Atilim University, Turkey

Keyword(s): Virtual Enterprise, Partner Selection, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Applications ; Decision Analysis ; Decision Support Systems ; Methodologies and Technologies ; Operational Research ; Supply Chain Management

Abstract: Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select the most qualified partners to take role in the project. This paper is a survey of ranking the volunteer companies with respect to four evaluation criteria, proposed unit price, delivery time, quality and enterprises’ past performance. Fuzzy logic method is proposed to deal with these four conflicting criteria, considered as input variables of the model. As each criterion is different in nature with the other criterion, various membership functions are used to fuzzify the input values. The next step is to construct the logical fuzzy rules combining the inputs to conclude the output. Mamdani’s approach is adopted to evaluate the output in this Fuzzy Inference System. The result of the model is the partnership chance of each partner to participate in VE. A partner with highest partnership chance will be the winner of the negotiation. Implementation of this model to the illustrative example of a partner selection problem in virtual enterprise and comparing it with fuzzy-TOPSIS approach verifies the feasibility of the proposed approach and the computational results are satisfactory. (More)

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Paper citation in several formats:
Nikghadam, S.; Lotfi Sadigh, B.; Murat Ozbayoglu, A.; Ozgur Unver, H. and Engin Kilic, S. (2015). Partner Selection in Formation of Virtual Enterprises using Fuzzy Logic. In Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-075-8; ISSN 2184-4372, SciTePress, pages 82-88. DOI: 10.5220/0005293000820088

@conference{icores15,
author={Shahrzad Nikghadam. and Bahram {Lotfi Sadigh}. and Ahmet {Murat Ozbayoglu}. and Hakki {Ozgur Unver}. and Sadik {Engin Kilic}.},
title={Partner Selection in Formation of Virtual Enterprises using Fuzzy Logic},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2015},
pages={82-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293000820088},
isbn={978-989-758-075-8},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES
TI - Partner Selection in Formation of Virtual Enterprises using Fuzzy Logic
SN - 978-989-758-075-8
IS - 2184-4372
AU - Nikghadam, S.
AU - Lotfi Sadigh, B.
AU - Murat Ozbayoglu, A.
AU - Ozgur Unver, H.
AU - Engin Kilic, S.
PY - 2015
SP - 82
EP - 88
DO - 10.5220/0005293000820088
PB - SciTePress

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