An Extention of ARAS Methodology Based on Interval Valued Intuitionistic Fuzzy Group Decision Making for Digital Supply Chain


BÜYÜKÖZKAN FEYZİOĞLU G. , Gocer F.

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, İtalya, 9 - 12 Temmuz 2017 identifier identifier

Özet

Everyone knows that technology altered profoundly the way we communicate and interact with the world, from personal computers to mobile devices. The impact of emerging new technologies affects every industry, and supply chain or logistics are no exception. Digital Supply Chain (DSC) create added various benefits to companies, financial or otherwise. Today, an emerging trend in supply chain management worldwide is a movement of the focus from that of classical supply chain to that of DSC. Modern organizations therefore shall interact with their dealers through DSC processes for production and delivery operations of goods and services. Due to its multi criteria nature, this study proposes a novel approach to evaluate supplier selection process under DSC environment for group decision making in an uncertain environment. The proposed framework combines for the first time the Interval Valued Intuitionistic Fuzzy (IVIF) Analytic Hierarchy Process (AHP) to evaluate criteria weights and IVIF Additive Ratio Assessment (ARAS) methodology for alternative assessment procedure. The paper also analyzes the selection of a suitable supplier in a real case study from Turkey to demonstrate the validity of the proposed approach.