Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study

No Thumbnail Available

Date

2014

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

Research Projects

Organizational Units

Thumbnail Image
Organizational Unit
Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

Journal Issue

Abstract

This study provides an overview of the fuzzy TOPSIS and Multi-Choice Goal Programming (MCGP) methods for Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. Supplier selection is mostly a complex multi-criteria problem which consists of qualitative and quantitative criteria. Those criteria should be considered advertently as a final decision in comprehensive and objective supplier selection as well. This study deal with the optimum decision making for selecting supplier and allocating order by applying the proposed method of integrated fuzzy TOPSIS and MCGP (Multi-Choice Goal Programming). To deal with the uncertain and imprecise judgment of decision makers, a Fuzzy TOPSIS is utilized to express it by triangular fuzzy numbers. The final supplier selection and order allocation are obtained by integrating the closeness coefficients to the MCGP model. A numerical example is given to clarify the main results developed in this paper. (C) 2013 The Authors. Published by Elsevier Ltd.

Description

Saputro, Thomy/0000-0002-6148-1130; Erdebilli, Babek/0000-0001-8860-3903

Keywords

MCDM, Supplier Selection, Fuzzy TOPSIS, MCGP

Turkish CoHE Thesis Center URL

Citation

70

WoS Q

Scopus Q

Source

5th World Conference on Educational Sciences (WCES) -- FEB 05-08, 2013 -- Rome Sapienza Univ, Rome, ITALY

Volume

116

Issue

Start Page

3957

End Page

3970

URI

https://doi.org/10.1016/j.sbspro.2014.01.874
 https://hdl.handle.net/20.500.14411/95

Collections

WOS