New Grey Integrated Model to Solve a Machine Selection Problem for a Textile Company

ULUTAŞ A.

FIBRES & TEXTILES IN EASTERN EUROPE, cilt.28, sa.1, ss.20-25, 2020 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.5604/01.3001.0013.5853
  • Dergi Adı: FIBRES & TEXTILES IN EASTERN EUROPE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.20-25
  • Anahtar Kelimeler: grey AHP, ROV-G, sewing machine selection, machine selection problem, MULTIATTRIBUTE DECISION-MAKING, TOOL SELECTION, HYBRID APPROACH, SUPPORT-SYSTEM, TOPSIS
  • İnönü Üniversitesi Adresli: Hayır

Özet

The textile sector has become an indispensable part of the Turkish economy. The sewing machine is a long-lasting and easy-to-use tool widely used in the garment industry, which is a branch of the textile industry. The sewing machine is an indispensable production tool for the textile industry and sewing machine selection is a significant decision for the production performance of textile companies. Selecting an appropriate sewing machine increases production performance, while selecting an improper one reduces production performance. The sewing machine selection problem is a typical machine selection issue. Many criteria, such as cost, productivity, safety etc. are considered in the machine selection. Therefore, MCDM methods are applicable to solve the machine selection problem. This study develops an integrated grey MCDM model including Grey AHP and ROV-G to select the most appropriate sewing machine for an apparel textile company.