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Vendor Selection Risk Management Framework in Automotive Industry

Received: 11 October 2016    Accepted: 13 October 2016    Published: 7 November 2016
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Abstract

Disruption of the supply chain can happen at any level of the process; therefore, investigation on the possible risks in the supply chain is inevitable in any SCM activity. Supplier failure is a major threat to the supply chain and to ensure proper vendor selection, this study aimed to establish a vendor selection procedure that can reduce the risk of supply chain disruption. Linear weighting method is used to analyze the risk factors and construct an empirically reliable model for supplier evaluation. The result of multi-criteria vendor evaluation model showed that supplier product quality had the highest degree of influence on vendor selection risk management. It was found that in a sequential order, product quality, human resources, financial power, governmental support, IT and R&D opportunities, and environmental vulnerability of the supplier are critical to supply chain management. The outcome of the current research is a vendor selection framework that utilizes the proposed supplier evaluation model to reduce the risk in vendor selection.

Published in International Journal of Mechanical Engineering and Applications (Volume 3, Issue 3-1)

This article belongs to the Special Issue Transportation Engineering Technology — Part Ⅱ

DOI 10.11648/j.ijmea.s.2015030301.19
Page(s) 57-66
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Vendor Induced Risks, Supply Chain, Risk Management

References
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Cite This Article
  • APA Style

    Kamran Mohtasham, Faieza Abdul Aziz, Mohd Khairol Anuar B. Mohd Ariffin. (2016). Vendor Selection Risk Management Framework in Automotive Industry. International Journal of Mechanical Engineering and Applications, 3(3-1), 57-66. https://doi.org/10.11648/j.ijmea.s.2015030301.19

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    ACS Style

    Kamran Mohtasham; Faieza Abdul Aziz; Mohd Khairol Anuar B. Mohd Ariffin. Vendor Selection Risk Management Framework in Automotive Industry. Int. J. Mech. Eng. Appl. 2016, 3(3-1), 57-66. doi: 10.11648/j.ijmea.s.2015030301.19

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    AMA Style

    Kamran Mohtasham, Faieza Abdul Aziz, Mohd Khairol Anuar B. Mohd Ariffin. Vendor Selection Risk Management Framework in Automotive Industry. Int J Mech Eng Appl. 2016;3(3-1):57-66. doi: 10.11648/j.ijmea.s.2015030301.19

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  • @article{10.11648/j.ijmea.s.2015030301.19,
      author = {Kamran Mohtasham and Faieza Abdul Aziz and Mohd Khairol Anuar B. Mohd Ariffin},
      title = {Vendor Selection Risk Management Framework in Automotive Industry},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {3},
      number = {3-1},
      pages = {57-66},
      doi = {10.11648/j.ijmea.s.2015030301.19},
      url = {https://doi.org/10.11648/j.ijmea.s.2015030301.19},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.s.2015030301.19},
      abstract = {Disruption of the supply chain can happen at any level of the process; therefore, investigation on the possible risks in the supply chain is inevitable in any SCM activity. Supplier failure is a major threat to the supply chain and to ensure proper vendor selection, this study aimed to establish a vendor selection procedure that can reduce the risk of supply chain disruption. Linear weighting method is used to analyze the risk factors and construct an empirically reliable model for supplier evaluation. The result of multi-criteria vendor evaluation model showed that supplier product quality had the highest degree of influence on vendor selection risk management. It was found that in a sequential order, product quality, human resources, financial power, governmental support, IT and R&D opportunities, and environmental vulnerability of the supplier are critical to supply chain management. The outcome of the current research is a vendor selection framework that utilizes the proposed supplier evaluation model to reduce the risk in vendor selection.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Vendor Selection Risk Management Framework in Automotive Industry
    AU  - Kamran Mohtasham
    AU  - Faieza Abdul Aziz
    AU  - Mohd Khairol Anuar B. Mohd Ariffin
    Y1  - 2016/11/07
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijmea.s.2015030301.19
    DO  - 10.11648/j.ijmea.s.2015030301.19
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 57
    EP  - 66
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.s.2015030301.19
    AB  - Disruption of the supply chain can happen at any level of the process; therefore, investigation on the possible risks in the supply chain is inevitable in any SCM activity. Supplier failure is a major threat to the supply chain and to ensure proper vendor selection, this study aimed to establish a vendor selection procedure that can reduce the risk of supply chain disruption. Linear weighting method is used to analyze the risk factors and construct an empirically reliable model for supplier evaluation. The result of multi-criteria vendor evaluation model showed that supplier product quality had the highest degree of influence on vendor selection risk management. It was found that in a sequential order, product quality, human resources, financial power, governmental support, IT and R&D opportunities, and environmental vulnerability of the supplier are critical to supply chain management. The outcome of the current research is a vendor selection framework that utilizes the proposed supplier evaluation model to reduce the risk in vendor selection.
    VL  - 3
    IS  - 3-1
    ER  - 

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Author Information
  • Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia

  • Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia

  • Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia

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