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GResilient index to assess the greenness and resilience of the automotive supply chain

Author

Listed:
  • Azevedo, Susana G.

    (Department of Business and Economics)

  • Govindan, Kannan

    (Department of Business and Economics)

  • Carvalho, Helena

    (UNIDEMI - Department of Mechanical and Industrial Engineering)

  • Cruz-Machado, V.

    (UNIDEMI - Department of Mechanical and Industrial Engineering)

Abstract

Purpose: The purpose of this paper is to suggest an Index entitled GResilient Index to assess the greenness and resilience of the automotive companies and corresponding supply chain. Design/methodology/approach: An integrated assessment model is proposed based on Green and Resilient practices. These practices are weighted according to their importance to the automotive supply chain competitiveness. The Delphi technique is used to obtain the weights for the focused supply chain paradigms and corresponding practices. The model is then tested using a case study approach in the automotive supply chain. Findings: The case study results confirmed the applicability of this Index in a real-world supply chain. The results show that the Resilient supply chain management paradigm is the one considered as the one that more contributes for the automotive supply chain competitiveness. Research limitations/implications: The proposed Index was developed in the automotive sector context therefore it could not be adjusted to a different one. Future research could consider other aggregation methods for the Index construction. Practical implications: Supply chain participants will be able to evaluate the performance of their companies or supply chain in terms of Green and Resilient paradigms. Also, the Index can be effectively employed for functional benchmarking among competing companies and supply chains.

Suggested Citation

  • Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2011. "GResilient index to assess the greenness and resilience of the automotive supply chain," Discussion Papers on Economics 8/2011, University of Southern Denmark, Department of Economics.
    • Handle: RePEc:hhs:sdueko:2011_008
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    File URL: https://www.sdu.dk/-/media/files/om_sdu/institutter/ivoe/disc_papers/disc_2011/dpbe8_2011.pdf
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    References listed on IDEAS

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    1. Stewart, Thomas R., 1999. "Commentary on "The Delphi technique as a forecasting tool: Issues and analysis" by Rowe and Wright," International Journal of Forecasting, Elsevier, vol. 15(4), pages 380-381, October.
    2. John Yeung & Albert Chan & Daniel Chan & Leong Kwan Li, 2007. "Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study," Construction Management and Economics, Taylor & Francis Journals, vol. 25(12), pages 1219-1237.
    3. Ayton, Peter & Ferrell, William R. & Stewart, Thomas R., 1999. "Commentaries on "The Delphi technique as a forecasting tool: issues and analysis" by Rowe and Wright," International Journal of Forecasting, Elsevier, vol. 15(4), pages 377-379, October.
    4. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Comparing aggregating methods for constructing the composite environmental index: An objective measure," Ecological Economics, Elsevier, vol. 59(3), pages 305-311, September.
    5. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    6. Antony Paulraj, 2009. "Environmental motivations: a classification scheme and its impact on environmental strategies and practices," Business Strategy and the Environment, Wiley Blackwell, vol. 18(7), pages 453-468, November.
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    Cited by:

    1. Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2012. "An integrated model to assess the leanness and agility of the automotive industry," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 85-94.
    2. Sonia Irshad Mari & Muhammad Saad Memon & Muhammad Babar Ramzan & Sheheryar Mohsin Qureshi & Muhammad Waqas Iqbal, 2019. "Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain," Mathematics, MDPI, vol. 7(2), pages 1-16, February.
    3. Torabi, S.A. & Baghersad, M. & Mansouri, S.A., 2015. "Resilient supplier selection and order allocation under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 22-48.
    4. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.

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    More about this item

    Keywords

    Green; resilient; supply chain management; index; automotive industry;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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