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Author: Rouyendegh (Babek Erdebilli), Babak DaneshvarPublisher: Elsevier Science Bv

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    Increasing Creativity With Unusual Designs
    (Elsevier Science Bv, 2012) Ergin, Merve Hande; Rouyendegh (Babek Erdebilli), Babak Daneshvar
    Creativity is important in synthesizing new ideas. For the engineering students, there are different methods to increase the level of creativity. Also, the unusual designs stimulate the students' creativity helping them to think innovatively. The assessment tool CEDA (Creative Engineering Design Assessment) is applied with minor modifications (CEDA-modified) to measure creativity in IE 101 Introduction to Engineering course. The CEDA score is modified by using AHP method to decrease the subjectivity of the assessment criteria. The study is applied to 49 industrial engineering students as an exam question. The question asked requires developing five advantages to an unusual design given. Male students developed more ideas compared to female students when they face with unusual design. More designs may be required to discuss through out the term and a proper term project that requires more design may be submitted to increase the success level.
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    Supplier Selection Using Integrated Fuzzy Topsis and Mcgp: a Case Study
    (Elsevier Science Bv, 2014) Rouyendegh (Babek Erdebilli), Babak Daneshvar; Saputro, Thomy Eko
    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.