TOPSIS yöntemlerle tedarikçi seçimi İran'dan pilot çalışma

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2017

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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.

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Bu tez, Çok Kriterli Karar Alma (MCDM) sorunu için İdeal Çözüme Benzerlik Üzerine Tercih Sıralaması Tekniği'nin (TOPSIS) bir açıklamasını yapmakta ve Tedarikçi Seçimini (SS) gözden geçirmektedir. SS, MCDM yöntemleri ile anlaşılmış ve SS ile ilgili tüm karşılaştırmalar ve tartışmalar kısaca ele alınmıştır. Çalışma TOPSIS temelli bir değerlendirme yöntemi kullanmaktadır. Tedarikçi seçimi sorunu TOPSIS kullanılarak formüle edilmiş ve ardından girişimin etkileri ve seçim kriterleri arasındaki ilişki göz önüne alınarak kriterlerin ağırlıklarının hesaplanması için kullanılmıştır. Mevcut model, bir TOPSIS modeli kullanarak tedarikçi değişkenlerinin doğru ve kolay bir sınıflandırmasını sağlamaktadır. Bu vakada varılan başlıca sonuçların daha iyi anlaşılmasını sağlamak için sayısal bir örnek verilmiştir.
This thesis provides a statement of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for the Multi-Criteria Decision-Making (MCDM) problem, and reviews the Supplier Selection (SS). The SS is figured out by MCDM methods and all the comparisons and discussions about SS held in brief. The study employs an evaluation methodology based on TOPSIS. The supplier selection problem is formulated utilizing the TOPSIS and then utilized to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. The present model provides an accurate and easy classification of supplier variables using a TOPSIS model. A numerical example is given to clarify the results improved in this case.

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Endüstri ve Endüstri Mühendisliği, Industrial and Industrial Engineering

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66