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Proceedings of the First International Conference on Intelligent Computing and Communication pp 257–266Cite as

Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 458))

Abstract

This paper addresses a critical issue of selection of supplier occurred in supply chain of a manufacturing company. As there are lot more criteria present for decision making of suitable supplier selection among many, it becomes more challenging task for any company to make as this decision is entangled with company’s profit and time. So, to address this problem, this paper proposes a multi-criteria decision making (MCDM) method using Decision Making Trial and Evaluation Laboratory (DEMATEL) based on Analytic Network Process (ANP), i.e., DANP, with fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) to judiciously select suppliers based on important criteria and to point out interrelationships among dimensions and criteria in SCM by Network Relationship Map (NRM) for this company. Furthermore, the ranking is supported by sensitivity analysis.

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References

  1. Chiou, C. Y., Hsu, C. W., & Hwang, W. Y., “Comparative investigation on green supplier selection of the American, Japanese and Taiwanese Electronics Industry in China,” Proceeding of 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, pp. 1909–1914 (2008).

    Google Scholar 

  2. Buyukozkan, G., & Cifci, G., “A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information,” Computers in Industry, vol. 62, pp. 164–174 (2011).

    Google Scholar 

  3. Dekker, R., Bloemhof, J., & Mallidis, I., “Operations Research for green logistics - An overview of aspects, issues, contributions and challenges,” European Journal of Operational Research, vol. 219, no. 3, pp. 671–679 (2012).

    Google Scholar 

  4. Govindan, K., Khodaverdi, R., & Jafarian, A., “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach,” Journal of Cleaner Production, vol. 47, pp. 345–354 (2013).

    Google Scholar 

  5. Tseng, M., & Chiu, A. S. F., “Evaluating fi rm’ s green supply chain management in linguistic preferences,” Journal of Cleaner Production, vol. 40, pp. 22–31 (2013).

    Google Scholar 

  6. Sarkis, J., & Dhavale, D. G., “Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework,” International Journal of Production Economics (2014).

    Google Scholar 

  7. Mazdeh, M. M., Emadikhiav, M., & Parsa, I., “A heuristic to solve the dynamic lot sizing problem with supplier selection and quantity discounts,” Computers & Industrial Engineering, vol. 85, pp. 33–43 (2015).

    Google Scholar 

  8. Hashemi, S. H., Karimi, A., & Tavana, M., “An integrated green supplier selection approach with analytic network process and improved Grey relational analysis,” International Journal of Production Economics, vol. 159, pp. 178–191 (2015).

    Google Scholar 

  9. Galankashi, M. R., Chegeni, A., Soleimanynanadegany, A., Memari, A., Anjomshoae, A., Helmi, S. A., & Dargi, A., “Prioritizing Green Supplier Selection Criteria Using Fuzzy Analytical NetworkProcess,” Procedia CIRP, vol. 26, pp. 689–694 (2015).

    Google Scholar 

  10. Rajesh, R., & Ravi, V., “Supplier selection in resilient supply chains: a grey relational -analysis approach,” Journal of Cleaner Production, vol. 86, pp. 343–359 (2015).

    Google Scholar 

  11. Hsu, C.-H., Wang, F.-K., and Tzeng, G.-H., “The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR,” Resources, Conservation & Recycling, vol. 66, pp. 95–111 (2015).

    Google Scholar 

  12. Rostamzadeh, R., Govindan, K., Esmaeili, A., & Sabaghi, M., “Application of fuzzy VIKOR for evaluation of green supply chain management practices,” Ecological Indicators, vol. 49, pp. 188–203 (2015).

    Google Scholar 

  13. Sarkar, S., & Sarkar, B., “A New Way to Performance Evaluation of Technical Institutions: VIKOR Approach”, Proceeding of 2014 Global Sustainability Transitions: Impacts and Innovations, pp. 209–216 (2014).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Industrial & Systems Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    Sobhan Sarkar,  Vishal Lakha,  Irshad Ansari &  Jhareswar Maiti

Authors
  1. Sobhan Sarkar
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  2. Vishal Lakha
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  3. Irshad Ansari
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  4. Jhareswar Maiti
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Corresponding author

Correspondence to Sobhan Sarkar .

Editor information

Editors and Affiliations

  1. Department of CSE, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

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

    Suresh Chandra Satapathy

  3. J K Mandal, Dept of CSE, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Department of ECE, Sri Ramswaroop Memorial College of Engineering and Management Lucknow, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

Appendix

Appendix

See Figures 3, 4 and 5.

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© 2017 Springer Science+Business Media Singapore

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Cite this paper

Sobhan Sarkar, Vishal Lakha, Irshad Ansari, Jhareswar Maiti (2017). Supplier Selection in Uncertain Environment: A Fuzzy MCDM Approach. In: Mandal, J., Satapathy, S., Sanyal, M., Bhateja, V. (eds) Proceedings of the First International Conference on Intelligent Computing and Communication. Advances in Intelligent Systems and Computing, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-10-2035-3_27

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  • DOI: https://doi.org/10.1007/978-981-10-2035-3_27

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2034-6

  • Online ISBN: 978-981-10-2035-3

  • eBook Packages: EngineeringEngineering (R0)

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