رتبه بندی تامین‌کنندگان تاب آور زنجیره تامین دارو با تلفیق تکنیک‌های فرایند تحلیل شبکه و دیمتل فازی

الموضوعات :

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 )

تاريخ الإرسال : 19 الأربعاء , رجب, 1442 تاريخ التأكيد : 17 السبت , شوال, 1442 تاريخ الإصدار : 18 الجمعة , جمادى الثانية, 1443

الکلمات المفتاحية: زنجیره تامین, تاب آوری, تکنیک فازی, ANPفازی,

ملخص المقالة :

در یک زنجیره تامین مناسب و کارا، سازمان ها باید ابتدا تامین کنندگان مناسب و با کیفیت را شناسایی کرده و سپس با پایه ریزی روابط و مشارکت های بلندمدت با تامین کنندگان انتخابی، در پی کسب و افزایش توانایی های رقابتی سازمان باشند انتخاب تامین کنندگان بر اساس شاخصه هایی صورت می گیرد که باعث تاب آوری زنجیره تامین می شوند. صورتیکه تامین کنندگان از تاب آوری مناسب برخوردار نباشند، در بازار رقابت امروز کسب و کار نه تنها محکوم به فنا هستند بلکه کل سیستم دچار مشکل خواهد شد لذا در این مقاله انتخاب تامین کننده در زنجیره تامین تاب آور مطرح میگردد ابتدا به شناسایی شاخص های تاب آوری زنجیره تامین دارو از طریق پرسشنامه از چند نفراز خبرگان صنعت دارویی پرداخته می شود و سپس استفاده از روش DEMATEL فازی روابط بین شاخص ها شناسایی خواهد شد و با استفاده از روشANP فازی وزن عوامل محاسبه و اهمیت آن مشخص می شود .با توجه به نتایج بدست آمده تامین کنندگان چینی، کره‌ای و ترکیه‌ای نسبت به سایر تامین کنندگان دارای وزن بالاتری می باشند و از لحاظ معیارهای مورد نظر شرکت در اولویت برتر قرار گرفته اند.

المصادر:

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. 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. 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. Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.


5. Haghighat, A. (2017). Presenting the model of prioritizing the factors affecting market innovating using the demantel method. Roshdo techniligy Quartely(51).


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. 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. Meenakshi, A. (2018). Fuzzy matrix: Theory and applications: MJP Publisher.


9. 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


10. 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.


11. 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.


12. Qian, L. (2014). Market-based supplier selection with price, delivery time, and service level dependent demand. International Journal of Production Economics, 147, 697-706.


13. 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.


14. Shirinfar, M., & Haleh, H. (2011). Supplier selection and evaluation by fuzzy multi-criteria decision making methodology.


15. Szmelter-Jarosz, A. (2020). Demateel method in supplier evaiuation and selection. Transport Economic and Logistic.


16. 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.


17. 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.


18. 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.


19. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-III. Information sciences, 9(1), 43-80.


20. 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.


21. Saaty, T.L. (1970). The Analytical Hierarchy Process. Mcgraw Hill, New York


22. Khaki, Gh, 2013, Research Methodology with Dissertation Approach, Foujan Publisher

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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. 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. 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. Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.


5. Haghighat, A. (2017). Presenting the model of prioritizing the factors affecting market innovating using the demantel method. Roshdo techniligy Quartely(51).


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. 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. Khaki, Gh. (2013). Research Methodology with Dissertation Approach. Tehran: Foujan Publishings


9. Meenakshi, A. (2018). Fuzzy matrix: Theory and applications: MJP Publisher.


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. 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. 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. 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. Saaty, T.L. (1970). The Analytical Hierarchy Process. Mcgraw Hill, New York


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. Shirinfar, M., & Haleh, H. (2011). Supplier selection and evaluation by fuzzy multi-criteria decision making methodology.


17. Szmelter-Jarosz, A. (2020). Demateel method in supplier evaiuation and selection. Transport Economic and Logistic.


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. 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. 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. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-III. Information sciences, 9(1), 43-80.


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.