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Manuscript ID : IMJ-2103-1566 (R3) Visit : 60 Page: 1 - 13

10.30495/imj.2022.688360

Article Type: Original Research

Ranking of Pharmaceutical Supply Chain Resilient Suppliers by Incorporating Analytic Network Process and Fuzzy Dematel Techniques

Subject Areas : Industrial Management

batool  askaryan 1 (Department of Industrial Management،Centeral Tehran Branch,Islamic Azad University,Tehran,Iran)
mohammad ebrahim  pourzarandi 2 (Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran)
Jalal  haghighat monfared 3 (Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran)

Received: 2021-03-03 Accepted : 2021-05-29 Published : 2022-01-21

Keywords: Supply Chain, ANP fuzzy, Fuzzy technique, resiliens,

Abstract :

In a proper and efficient supply chain, organizations must first identify appropriate and high quality suppliers, then by establishing long-term relationships and partnerships with selected suppliers, seek to acquire and increase the competitive capabilities of the organization. The selection of suppliers is based on the characteristics that make the supply chain resilient. If suppliers do not have the right resilience, in today's competitive market, businesses will not only be doomed, but the whole system will be in trouble.Therefore, in this paper, supplier selection in the resilient supply chain is discussed. First, the resilience indicators of the pharmaceutical supply chain are identified through a questionnaire from several experts in the pharmaceutical industry, then the relationships between the indicators will be identified using the fuzzy dematel method, and using fuzzy ANP method, the weight of the factors is calculated and its importance is determined. According to the results, Chinese, Korean and Turkish suppliers have higher weight than other suppliers and in terms of the criteria desired by the company, they are in the top priority.

References:


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  1. Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2018). A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems, 22(3), 257-278.
    2.
  2. Afzali, A., Rafsanjani, M. K., & Saeid, A. B. (2016). A fuzzy multi-objective linear programming model based on interval-valued intuitionistic fuzzy sets for supplier selection. International Journal of Fuzzy Systems, 18(5), 864-874.
    3.
  3. Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117.
    4.
  4. Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.
    5.
  5. Haghighat, A. (2017). Presenting the model of prioritizing the factors affecting market innovating using the demantel method. Roshdo techniligy Quartely(51).
    6.
  6. Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307.
    7.
  7. Kamalahmadi, M., & Mellat-Parast, M. (2016). Developing a resilient supply chain through supplier flexibility and reliability assessment. International Journal of Production Research, 54(1), 302-321.
    8.
  8. Khaki, Gh. (2013). Research Methodology with Dissertation Approach. Tehran: Foujan Publishings
    9.
  9. Meenakshi, A. (2018). Fuzzy matrix: Theory and applications: MJP Publisher.
    10.
  10. Morovati sharif abadi, A., Azizi F., Jamshidi, z. (2017). Analysis of factors affecting the satisfaction of domestic tiurists in Yazd province using From fuzzy demetel model. Tourism Management Studies, 11(33). Retrieved from https://www.sid.ir/fa/journal/ViewPaper.aspx?id=268259
    11.
  11. Parkouhi, S. V., & Ghadikolaei, A. S. (2017). A resilience approach for supplier selection: Using Fuzzy Analytic Network Process and grey VIKOR techniques. Journal of Cleaner Production, 161, 431-451.
    12.
  12. Pramanik, D., Haldar, A., Mondal, S. C., Naskar, S. K., & Ray, A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1), 45-54.
    13.
  13. Qian, L. (2014). Market-based supplier selection with price, delivery time, and service level dependent demand. International Journal of Production Economics, 147, 697-706.
    14.
  14. Saaty, T.L. (1970). The Analytical Hierarchy Process. Mcgraw Hill, New York
    15.
  15. Sasikumar, P., & Vimal, K. (2019). Evaluation and selection of green suppliers using fuzzy VIKOR and fuzzy TOPSIS. In Emerging Applications in Supply Chains for Sustainable Business Development (pp. 202-218): IGI Global.
    16.
  16. Shirinfar, M., & Haleh, H. (2011). Supplier selection and evaluation by fuzzy multi-criteria decision making methodology.
    17.
  17. Szmelter-Jarosz, A. (2020). Demateel method in supplier evaiuation and selection. Transport Economic and Logistic.
    18.
  18. Vahidi, F., Torabi, S. A., & Ramezankhani, M. (2018). Sustainable supplier selection and order allocation under operational and disruption risks. Journal of Cleaner Production, 174, 1351-1365.
    19.
  19. Wang, T.-K., Zhang, Q., Chong, H.-Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289.
    20.
  20. Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Zolfani, S. H. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728-3740.
    21.
  21. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-III. Information sciences, 9(1), 43-80.
    22.
  22. Zare, S., Shirvan, H. E., Hemmatjo, R., Faridan, M., Hajghani, M., & Dehaghi, B. F. (2018). Using the analytic network process method for prioritizing and weighing shift work disorders among the personnel of hospitals of Kerman University of Medical Sciences. Journal of circadian rhythms, 16.
    23.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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