Aytaç Yildiz profile image
Aytaç Yildiz Prof. Dr. BURSA TEKNİK ÜNİVERSİTESİ
Publication 17 Review 57 CrossRef Cited 69 TR Dizin Cited 77
17 Publication
57 Review
69 CrossRef Cited
77 TR Dizin Cited

Research Fields

New Product Development Multiple Criteria Decision Making Industrial Engineering Manufacturing Processes and Technologies (Excl. Textiles) Technology Management and Business Models Manufacturing and Service Systems Optimization in Manufacturing

Institution

BURSA TEKNİK ÜNİVERSİTESİ

Popular Publications

ENERJİ VERİMLİLİĞİ VE SANAYİDEKİ UYGULAMALARI
Authors: Aytaç Yıldız , Simge Akgül , Salih Güvercin
DOI: -
CITED 0 FAVORITE 2 TOTAL DOWNLOAD COUNT 5131

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2

5131

Publications

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531

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488

Evaluation of Employee Performance using the Interval Type-2 Fuzzy TOPSIS Method
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1345805
FAVORITE 0 TOTAL DOWNLOAD COUNT 401

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401

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529

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463

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1560

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1870

DIGITAL SUPPLIER SELECTION FOR A GARMENT BUSINESS USING INTERVAL TYPE-2 FUZZY TOPSIS
Published: 2020 , Textile and Apparel
DOI: 10.32710/tekstilvekonfeksiyon.569884
FAVORITE 0 TOTAL DOWNLOAD COUNT 1805

0

1805

ENERJİ VERİMLİLİĞİ VE SANAYİDEKİ UYGULAMALARI
Authors: Aytaç Yıldız , Simge Akgül , Salih Güvercin
DOI: -
FAVORITE 2 TOTAL DOWNLOAD COUNT 5131

2

5131

Industry 4.0 and smart factories
DOI: 10.16984/saufenbilder.321957
FAVORITE 0 TOTAL DOWNLOAD COUNT 37086

0

37086

0

2736

Publications

Evaluation of Factors Affecting Innovation Productivity by Pythagorean Fuzzy AHP Method
Published: 2024 , Journal of Productivity
DOI: 10.51551/verimlilik.1319522
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 531

1

0

531

Using Hybrid Fuzzy AHP and Fuzzy QFD Approach in Green Supplier Selection
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1345822
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 488

2

0

488

1

0

1870

DIGITAL SUPPLIER SELECTION FOR A GARMENT BUSINESS USING INTERVAL TYPE-2 FUZZY TOPSIS
Published: 2020 , Textile and Apparel
DOI: 10.32710/tekstilvekonfeksiyon.569884
CITED 14 FAVORITE 0 TOTAL DOWNLOAD COUNT 1805

14

0

1805

Industry 4.0 and smart factories
DOI: 10.16984/saufenbilder.321957
CITED 44 FAVORITE 0 TOTAL DOWNLOAD COUNT 37086

44

0

37086

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