Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium

No Thumbnail Available

Date

2015

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

Research Projects

Organizational Units

Thumbnail Image
Organizational Unit
Manufacturing Engineering
(2003)
Opened in 2003 with the aim to graduate experts in the field of machine-production, our Department is among the firsts in our country to offer education in English. The Manufacturing Engineering program focuses on the manufacturing technologies that shape materials from raw materials to final products by means of analytical, experimental and numerical modeling methods. First Manufacturing Engineering Program to be engineered by Müdek, our department aims to graduate creative and innovative Manufacturing Engineers that are knowledgeable in the current technology, and are able to use production resources in an effective and sustainable way that never disregards environmental facts. As the first Department to implement the Cooperative Education Program at Atılım University in coordination with institutions from the industry, the Manufacturing Engineering offers a practice-oriented approach in education with its laboratory infrastructure and research opportunities. The curriculum at our department is supported by current engineering software, and catered to creating engineers equipped to meet the needs of the production industry.

Journal Issue

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. © Springer International Publishing Switzerland 2015.

Description

Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

Keywords

Fuzzy Inference System, Partner selection, Virtual enterprise

Turkish CoHE Thesis Center URL

Citation

2

WoS Q

Scopus Q

Q4

Source

Communications in Computer and Information Science -- 4th International Conference on Operations Research and Enterprise Systems, ICORES 2015 -- 10 January 2015 through 12 January 2015 -- Lisbon -- 159359

Volume

577

Issue

Start Page

104

End Page

115

URI

https://doi.org/10.1007/978-3-319-27680-9_7
 https://hdl.handle.net/20.500.14411/3782

Collections

Scopus