An extension of ARAS methodology under Interval Valued Intuitionistic Fuzzy environment for Digital Supply Chain

被引:98
作者
Buyukozkan, Gulcin [1 ]
Gocer, Fethullah [1 ]
机构
[1] Galatasaray Univ, Ind Engn Dept, TR-34349 Istanbul, Turkey
关键词
Digital Supply Chain (DSC); Interval Valued Intuitionistic Fuzzy (IVIF) sets; Additive Ratio Assessment (ARAS); Analytic Hierarchy Process (AHP); Supplier selection; GROUP DECISION-MAKING; MULTIPLE CRITERIA ASSESSMENT; ANALYTIC HIERARCHY PROCESS; GENERATION TECHNOLOGIES; SELECTION; MODEL; PERFORMANCE; INFORMATION; MANAGEMENT; TOPSIS;
D O I
10.1016/j.asoc.2018.04.040
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Technology, such as personal computers and mobile devices, alters the foundation of how people communicate and interact with their surrounding environment. Emerging technologies affect every industry and management of supply chain and logistics are no exception. Given that Digital Supply Cham (DSC) provides several opportunities to companies the topic has received increasing attention from both academia and industry in the recent years. Today, an emerging worldwide trend in supply chain management is a shift of the focus from classical supply chains towards DSC, which leverages new solutions to generate new sources of revenue and additional business value for organizations. Recognizing these potential benefits, today's modern organizations now interact with their dealers through DSC processes for improved efficiency and effectiveness in their production and delivery operations. Supplier selection is one of the crucial processes that has been affected by the digitalization of supply chain management. Addressing multi-criteria nature of the supplier selection process, this article introduces a new DSC approach for the first time to support the supplier selection process. This approach develops a group decision making (GDM) method in an uncertain environment. This methodology also considers decision makers when they are under pressure and/or lack expertise during the evaluation process. The proposed framework integrates for the first time the Interval Valued Intuitiomstic Fuzzy (IVIF) Sets, Analytic Hierarchy Process (AHP) and Additive Ratio Assessment (ARAS) under a GDM environment. IVIF AHP is used to evaluate criteria weights and IVIF ARAS methodology is used for the alternative assessment procedure. The paper also included the analyses for the selection of a suitable supplier in a real case study from Turkey to illustrate the validity of the proposed novel approach. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:634 / 654
页数:21
相关论文
共 93 条
  • [1] A new preference scale mcdm method based on interval-valued intuitionistic fuzzy sets and the analytic hierarchy process
    Abdullah, Lazim
    Najib, Liana
    [J]. SOFT COMPUTING, 2016, 20 (02) : 511 - 523
  • [2] A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process
    Abdullah, Lazim
    Najib, Liana
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (07) : 3297 - 3305
  • [3] FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company
    Akhavan, Peyman
    Barak, Sasan
    Maghsoudlou, Hamidreza
    Antucheviciene, Jurgita
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2015, 21 (02) : 165 - 185
  • [4] A novel technique for evaluating and selecting logistics service providers based on the logistics resource view
    Alkhatib, Saleh Fahed
    Darlington, Robert
    Yang, Zaili
    Trung Thanh Nguyen
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (20) : 6976 - 6989
  • [5] An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
    Amin, Saman Hassanzadeh
    Razmi, Jafar
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) : 8639 - 8648
  • [6] [Anonymous], 2016, IMPACT LIGHTING FLOR
  • [7] [Anonymous], DIGITAL TRANSFORMATI
  • [8] [Anonymous], DIGITAL SUPPLY CHAIN
  • [9] [Anonymous], 2014, MANAGING DIGITAL ENT, DOI DOI 10.2991/978-94-6239-094-2
  • [10] [Anonymous], 2015, BUILDING DIGITAL ENT, DOI DOI 10.1057/9781137477729