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Supplier Selection Using Ranking Interval Type-2 Fuzzy Sets

  • Conference paper
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

In face of global competition, supplier management is emerging as crucial issue to any companies striving for business success. This paper develops a framework for selecting suitable outsourced suppliers of upstream supply chain in uncertain environment. Emerging supply risk arising from outsourcing are analyzed to reduce cost and increase the sustainability of supply chain network. The study applies ranking based interval type-2 fuzzy set exploring the risk factors and ranking supplier companies. The performance rating weights of risk criteria in supply chain are evaluated based on decision makers. Finally, an empirical study is conducted for Indian Oil Corporation Limited (IOCL) to demonstrate the applicability of the proposed algorithm to select the suitable crude oil supplier(s).

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology, Durgapur, 713209, India

    Samarjit Kar & Kajal Chatterjee

Authors
  1. Samarjit Kar
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  2. Kajal Chatterjee
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Corresponding author

Correspondence to Samarjit Kar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai, Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J.K. Mandal

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© 2015 Springer International Publishing Switzerland

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Kar, S., Chatterjee, K. (2015). Supplier Selection Using Ranking Interval Type-2 Fuzzy Sets. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

  • eBook Packages: EngineeringEngineering (R0)

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