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Supplier Selection Using Fuzzy-AHP: A Case Study

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Trends in Manufacturing Processes

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Abstract

Application of multi-criteria decision-making to resolve industrial problems is well-known. The present research is related to the use of fuzzy-AHP in selection of a supplier in the presence of conflicting criteria. There is always an uncertainty present if the crisp values are used. To avoid uncertainty, in this study linguistic variables have been used. An integrated model of DEMATEL and FAHP has been presented here. The weights obtained from the DEMATAL have been used to calculate the ranking of suppliers through FAHP. The rankings obtained through FAHP have also been compared with the rankings calculated through FTOPSIS [13] for the purpose of validation.

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References

  1. Agrawal, N., Shashikant: Integrated fuzzy-dematel, fuzzy topsis approach for supplier selection: a case study. Adv. Res. Electr. Electron. Eng. (AREEE) 5(2), 129-133 (2018)

    Google Scholar 

  2. Sirisawat, P., Kiatcharoenpol, T.: Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers. Comput. Ind. Eng. 117, 303–318 (2018)

    Article  Google Scholar 

  3. Dožić, S., Lutovac, T., Kalić, M.: Fuzzy AHP approach to passenger aircraft type selection. J. Air Trans. Manag. 68, 165–175 (2018)

    Article  Google Scholar 

  4. Ilbahar, E., Karaşan, A., Cebi, S., Kahraman, C.: A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Saf. Sci. 103, 124–136 (2018)

    Article  Google Scholar 

  5. Goyal, R.K., Kaushal, S., Sangaiah, A.K.: The utility based non-linear fuzzy AHP optimization model for network selection in heterogeneous wireless networks. Appl. Soft Comput. 67, 800–811 (2018)

    Article  Google Scholar 

  6. Ping, P., Wang, K., Kong, D., Chen, G.: Estimating probability of success of escape, evacuation, and rescue (EER) on the offshore platform by integrating Bayesian network and fuzzy AHP. J. Loss Prev. Process Ind. 54, 57–68 (2018)

    Article  Google Scholar 

  7. Jayawickrama, H.M.M.M., Kulatunga, A.K., Mathavan, S.: Fuzzy AHP based plant sustainability evaluation method. Procedia Manuf. 8, 571–578 (2017)

    Article  Google Scholar 

  8. Zhang, N., Zhou, K., Du, X.: Application of fuzzy logic and fuzzy AHP to mineral prospectivity mapping of porphyry and hydrothermal vein copper deposits in the Dananhu-Tousuquan island arc, Xinjiang, NW China. J. Afr. Earth Sci. 128, 84–96 (2017)

    Article  Google Scholar 

  9. Li, W., Yu, S., Pei, H., Zhao, C., Tian, B.: A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality. J. Air Trans. Manag. 60, 49–64 (2017)

    Article  Google Scholar 

  10. Otay, İ., Oztaysi, B., Onar, S.C., Kahraman, C.: Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&DEA methodology. Knowl. Based Syst. 133, 90–106 (2017)

    Google Scholar 

  11. Celik, E., Akyuz, E.: An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: the case of ship loader. Ocean Eng. 155(1), 371–381 (2018)

    Article  Google Scholar 

  12. Chena, J.-F., Hsieh, H.-N., Do, Q.H.: Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach. Appl. Soft Comput. 28, 100–108 (2015)

    Article  Google Scholar 

  13. Akkaya, G., Turanoğlu, B., Öztaş, S.: An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing. Expert Syst. Appl. 42(24), 9565–9573 (2015)

    Article  Google Scholar 

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Correspondence to Narayan Agrawal .

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Agrawal, N., Kant, S. (2020). Supplier Selection Using Fuzzy-AHP: A Case Study. In: Singh, I., Bajpai, P., Panwar, K. (eds) Trends in Manufacturing Processes. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9099-0_13

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  • DOI: https://doi.org/10.1007/978-981-32-9099-0_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9098-3

  • Online ISBN: 978-981-32-9099-0

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