A fuzzy extent analysis method for vendor selection in supply chain: A case study from the automotive industry

被引:0
|
作者
Kumar, M. [1 ]
机构
[1] Int Logist Supply Chain Management Syst, New Delhi, India
来源
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The analytic hierarchy process (AHP) of Saaty (1980) is a popular method for solving multi-criteria decision problems involving qualitative data, and has been applied to the vendor selection process (Nydick and Hill, 1992; Barbarosoglu and Yazgac, 1997; Narasimhan, 1983; and Masella and Rangone, 2000). AHP is often criticized for its inability to handle the inherent uncertainty and imprecision of the pairwise comparison process. This paper focuses on addressing uncertainty issues in the process of vendor selection by using a Fuzzy Extent Analysis method. The applicability of the proposed Fuzzy Extent Analysis method for vendor selection is tested in Auto Exhaust System Ltd, Gurgaon, India. A study of the Fuzzy Extent Analysis Method is also provided in this paper by experimenting with sensitivity analysis. The result shows that the Fuzzy Extent Analysis Method for vendor selection is simple and comprehensive in concept, efficient in computation, and robust in modeling human evaluation processes for vendor selection.
引用
收藏
页码:35 / 55
页数:21
相关论文
共 50 条
  • [41] Demand variability and value of information sharing in the supply chain. A case study in the automotive industry
    Lalami I.
    Frein Y.
    Gayon J.-P.
    [J]. 1600, Lavoisier (50): : 157 - 186
  • [42] Analysis of Agility Performance of Supply Chain: A Case Study on Indian Automotive Manufacturer
    Routroy, S.
    Sharma, S.
    Bhardwaj, A.
    [J]. INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MATERIALS & MANUFACTURING TECHNOLOGIES, 2018, 346
  • [43] Selecting competitive supply chain using fuzzy AHP and extent analysis
    Singh, Rajesh Kumar
    Sharma, Milind Kumar
    [J]. JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2014, 31 (08) : 524 - 538
  • [44] The Implementation of Smart Contract via Blockchain Technology in Supply Chain Management: A Case Study from The Automotive Industry in Turkey
    Yuksel, Hasan Basri
    Bolat, Serdar
    Bozkurt, Hayreddin
    Yucekaya, Ahmet
    Bekimoglu, Mustafa
    [J]. 2021 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY (AIBT 2021), 2021, : 90 - 94
  • [45] A Parallelizable Heuristic for Solving the Generic Materials and Operations Planning in a Supply Chain Network: A Case Study from the Automotive Industry
    Maheut, Julien
    Pedro Garcia-Sabater, Jose
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: COMPETITIVE MANUFACTURING FOR INNOVATIVE PRODUCTS AND SERVICES, AMPS 2012, PT I, 2013, 397 : 151 - 157
  • [46] Empirical analysis of supply chain risk management in the Japanese automotive industry
    Chino, Munehiro
    Khojasteh, Yacob
    Furuhata, Tetsuma
    Kainuma, Yasutaka
    [J]. Journal of Japan Industrial Management Association, 2017, 67 (04) : 285 - 294
  • [47] An empirical analysis of supply chain risk management in the German automotive industry
    Thun, Joern-Henrik
    Hoenig, Daniel
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2011, 131 (01) : 242 - 249
  • [48] An Empirical Analysis of Green Supply Chain Management in the German Automotive Industry
    Thun, Joern-Henrik
    Mueller, Andrea
    [J]. BUSINESS STRATEGY AND THE ENVIRONMENT, 2010, 19 (02) : 119 - 132
  • [49] Multicriteria supplier selection by gray relational analysis: a case study in automotive industry
    Ozdemir, Ali Ihsan
    Deste, Mustafa
    [J]. ISTANBUL UNIVERSITY JOURNAL OF THE SCHOOL OF BUSINESS, 2009, 38 (02): : 147 - 156
  • [50] A Study on Lean Supply Chain Performance Measures of SMEs in the Automotive Industry
    Behrouzi, Farzad
    Wong, Kuan Yew
    Behrouzi, Farshad
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2011, : 237 - 241