A Hesitant Fuzzy AHP: Material Handling Equipment Selection for Manufacturing Systems Driven by Lean Principles


Es H. A., Özçelik G., Yılmaz Ö. F.

Analytic Hierarchy Process with Fuzzy Sets Extensions, Cengiz Kahraman,Selçuk Çebi, Editör, Springer Nature, Aarau, ss.177-200, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Springer Nature
  • Basıldığı Şehir: Aarau
  • Sayfa Sayıları: ss.177-200
  • Editörler: Cengiz Kahraman,Selçuk Çebi, Editör
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In order for businesses to be sustainable and competitive, it is essential to eliminate all non-value-added activities from their production systems. In this context, one of the most important factors in the success of a production system is also the efficiency of internal logistics activities. In this study, a multi-criteria group decision making (MCGDM) methodology is presented on the determination of the most suitable material handling equipment to successfully perform the internal logistics activities of a company that adopts lean production. To determine the most appropriate material handling equipment, a hesitant fuzzy AHP (HF-AHP) methodology is performed by consulting three experts. According to experts’ evaluations, the alternatives for lean in-plant logistic practices are considered as a Belt conveyor, Tow conveyor, Tugger train, and AGV. The criteria are the Economic aspect, Operational aspect, Material-move-method aspect, and Lean aspect. According to the obtained results, the tugger train is determined as the most appropriate alternative regarding the aforementioned criteria for the manufacturing system.