Aytaç Yildiz profile image
Aytaç Yildiz Prof. Dr. BURSA TEKNİK ÜNİVERSİTESİ
Publication 20 Review 57 CrossRef Cited 70 TR Dizin Cited 77
20 Publication
57 Review
70 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 5368

0

2

5368

Publications

0

48

0

593

0

527

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 442

0

442

0

585

0

485

0

1617

0

1923

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 1851

0

1851

ENERJİ VERİMLİLİĞİ VE SANAYİDEKİ UYGULAMALARI
Authors: Aytaç Yıldız , Simge Akgül , Salih Güvercin
DOI: -
FAVORITE 2 TOTAL DOWNLOAD COUNT 5368

2

5368

Industry 4.0 and smart factories
DOI: 10.16984/saufenbilder.321957
FAVORITE 0 TOTAL DOWNLOAD COUNT 37625

0

37625

0

2777

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 593

1

0

593

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 527

2

0

527

1

0

1923

DIGITAL SUPPLIER SELECTION FOR A GARMENT BUSINESS USING INTERVAL TYPE-2 FUZZY TOPSIS
Published: 2020 , Textile and Apparel
DOI: 10.32710/tekstilvekonfeksiyon.569884
CITED 15 FAVORITE 0 TOTAL DOWNLOAD COUNT 1851

15

0

1851

Industry 4.0 and smart factories
DOI: 10.16984/saufenbilder.321957
CITED 44 FAVORITE 0 TOTAL DOWNLOAD COUNT 37625

44

0

37625