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A Decision-Making Framework for Green Supplier Selection Using FAHP and Taguchi Quality Loss Functions

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Proceedings of the Fifth International Conference on Mathematics and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1170))

Abstract

Due to ever-increasing consciousness and considerable pressures from various parties, organizations have compelled to implement the green practices in their daily activities. However, green issues are novel, evolving constantly and require a regular study in this area to understand the problems properly. Presently, manufacturing sectors are facing some major challenges like environmental impacts, cost optimization, employee management, project management, corporate-social responsibility, global economy crisis, etc. Moreover, the supplier selection (SS) depends on the consideration of several conflicting subjective and objective factors. Considering the above facts, this paper proposes an integrated model using fuzzy analytical hierarchy process (FAHP) and Taguchi loss function for selecting suitable green suppliers based on crucial economic and environmental favourable factors (FF) and unfavourable factors (UF). The proposed method measures the loss of supplier’s performance due to the relevant factors and identifies the best supplier to perform effectively for the organization. The triangular fuzzy numbers (TFN) are used in this study to handle the imprecision involved in the supplier evaluation process.

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Authors and Affiliations

  1. Haldia Institute of Technology, MAKAUT, Haldia, 721657, India

    Ashoke Kumar Bera & Dipak Kumar Jana

  2. Jadavpur University, Kolkata, 700032, India

    Debamalya Banerjee & Titas Nandy

Authors
  1. Ashoke Kumar Bera
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  2. Dipak Kumar Jana
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  3. Debamalya Banerjee
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  4. Titas Nandy
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Corresponding author

Correspondence to Ashoke Kumar Bera .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India

    Debasis Giri

  2. Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK

    Anthony T. S. Ho

  3. Indian Institute of Technology Madras, Chennai, India

    S. Ponnusamy

  4. Department of Information Management, National Taiwan University of Science and Technology, Taipei City, Taiwan

    Nai-Wei Lo

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Bera, A.K., Jana, D.K., Banerjee, D., Nandy, T. (2021). A Decision-Making Framework for Green Supplier Selection Using FAHP and Taguchi Quality Loss Functions. In: Giri, D., Ho, A.T.S., Ponnusamy, S., Lo, NW. (eds) Proceedings of the Fifth International Conference on Mathematics and Computing. Advances in Intelligent Systems and Computing, vol 1170. Springer, Singapore. https://doi.org/10.1007/978-981-15-5411-7_10

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