شناسایی معیارهای ارزیابی تامین کنندگان دارو در شرایط بحرانی کرونا و اولویت‌بندی آن‌ها

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد مدیریت کسب‌وکار، دانشگاه صنعتی شاهرود، شاهرود، ایران

2 دانشکده مهندسی صنایع و مدیریت، دانشگه صنعتی شاهرود

3 استادیار دانشکده صنایع و مدیریت، دانشگاه صنعتی شاهرود، شاهرود، ایران

چکیده

در برهه‌های مختلف زمانی، وقوع بحران تمام فعالیت‌ها را تحت‌تاثر قرار می‌دهد و فشار‌ بسیار زیادی بر جوامع وارد می‌کند. تامین‌کننده به عنوان یکی از اصلی‌ترین اجزاء هر زنجیره‌تامین، نسبت به تصمیمات درست یا اشتباه تاثیرپذیر است. زنجیره‌تامین در صنعت دارو شامل مراحل تامین دارو تا تحویل به مصرف‌کننده نهایی می‌شود. پیشامد هرگونه شرایط بحرانی، فشار به زنجیره‌تامین و فرآیند تامین کالا می‌آورد. در سال 2019 پس از مدت کوتاهی از شیوع کووید-19، بحران همه‌گیری به‌وقوع پیوست و تمام ملت‌ها را دچار درگیری کرد. با شروع بحران کرونا، مسئله دارو و تامین آن به یکی از بزرگترین و پرچالش‌ترین مسائل دنیا تبدیل شد. یکی از اصلی‌ترین بخش‌های تامین دارو، تامین‌کننده می‌باشد؛ از این رو می‌بایست تامین‌کنندگان و خدمات آن‌ها مورد بررسی قرار گیرد تا در شرایط بحرانی، بهینه عمل کند. این پژوهش با رویکرد روش های تصمیم گیری چندمعیاره فازی در کشور ایران به مطالعه این حوزه پرداخته تا معیارهای انتخاب بهترین تامین‌کننده در شرایط بحران کرونا را شناسایی و آن‌ها را رتبه‌بندی کند. در گام نخست پژوهش پس از بررسی پیشنیه و مصاحبه با خبرگان، با استفاده از دسته‌بندی مدیریت بحران، 34 معیار در چهار دسته شناسایی گردیدو با طراحی و توزیع پرسشنامه دلفی‌فازی، از بین این معیارها، 13 معیار غربال شد. در نهایت با استفاده از روش FDANP، به رتبه‌بندی معیارها پرداخته شد. معیار قدرت متقاعدسازی نمایندگان شرکت بیشترین وزن را کسب کرد؛ روابط علی معلولی معیارها از قبیل تاثیرگذاری و تاثیرپذیری نیز با استفاده از این روش مشخص گردیده و معیار متقاعدسازی نمایندگان شرکت، اثرگذاری بیشتری دارد.

کلیدواژه‌ها

مراجع

  1. Abbdini A, Irani R, Yzdani HR. Identify and prioritize the critical success factors in the drug supply and distribution chain using the Demitel technique. Journal of Paramedical School of Tehran University of Medical Sciences (Payavard Salamat), 2019; 13(1): 45-59.
  2. Alem Tabriz, A., & Bagher Zada Azar, M. (2010). Application of Analytical Network Process (ANP) for Ranking Suppliers and Related Decisional Factors in Supply Chain. Journal of Business Administration Researches, 2(3), 102-116 [In Persian]
  3. Alidoost, F., Bahrami, F., & Safari, H. (2020). Multi-Objective Pharmaceutical Supply Chain Modeling in Disaster (Case Study: Earthquake Crisis in Tehran). Journal of Industrial Management Perspective, 10(3, Autumn 2020), 99-123.‏ https://doi.org/10.52547/jimp.10.3.99
  4. Amin-Tahmasbi, H., & Hami, M. (2020). Analysis of the supply chain resilience and sustainability criteria in pharmaceutical industry using interpretive structural analysis method. Journal of standard and Quality Management, 9(4), 40-48 [In Persian]‏
  5. Amirhiseini, M., & Pilevari, N. (2021). Analyzing and ranking of critical success factors of humanitarian supply chain during COVID-19 pandemic. Journal of Industrial Strategic Management, 6(1), 1-13. https://dorl.net/dor/20.1001.1.25382756.2021.6.1.1.8
  6. Anvari, A., & Reihani, R. (2020). Strategic Evaluation and Selection of Pharmaceutical Suppliers BOCR-Based Using Fuzzy Multi Criteria Decision Making. Journal of healthcare management, 11(no36), 57-69 [In Persian]
  7. Askaryan, B., Pourzarandi, M. E., & Haghighat Monfared, J. (2022). Ranking of Pharmaceutical Supply Chain Resilient Suppliers by Incorporating Analytic Network Process and Fuzzy Dematel Techniques. Industrial Management, (‏58)16, 1-13 [In Persian]. https://doi.org/10.30495/imj.2022.1944787.1714
  8. 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.‏
  9. Ayittey, F. K., Ayittey, M. K., Chiwero, N. B., Kamasah, J. S., & Dzuvor, C. (2020). Economic impacts of Wuhan 2019‐nCoV on China and the world. Journal of medical virology, 92(5), 473.‏ https://doi.org/10.1002/jmv.25706
  10. Bø, E., Hovi, I. B., & Pinchasik, D. R. (2023). COVID-19 disruptions and Norwegian food and pharmaceutical supply chains: Insights into supply chain risk management, resilience, and reliability. Sustainable Futures, 5, 100102 ‌. https://doi. rg/10.1016/j.sftr.2022.100102
  11. Burkle Jr, F. M. (2019). Challenges of global public health emergencies: development of a health-crisis management framework. The Tohoku journal of experimental medicine, 249(1), 33-41.‏ https://doi.org/10.1620/tjem.249.33
  12. ÇEKİÇ, C., GÜL, N. N., & GUNERİ, A. F. (2022).  Managing supplier selection problem with integrated fuzzy AHP and fuzzy VIKOR: A manufacturing company case. Journal of Advances in Manufacturing Engineering, 3(1), 1-13.‏ https://dx.doi.org/10.14744/ytu.jame.2022.00001
  13. Cheng, C.H. & Lin, Y, (2002), Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research, 142, pp- 174-186. https://doi.org/10.1016/S0377-2217(01)00280-6
  14. Ghasempoor Anaraki, M., Vladislav, D. S., Karbasian, M., Osintsev, N., & Nozick, V. (2021). Evaluation and selection of supplier in supply chain with fuzzy analytical network process approach. Journal of fuzzy extension and applications, 2(1), 69-88.‏ https://doi.org/10.22105/jfea.2021.274734.1078
  15. Ghorbani, M., Mohammad Arabzad, S., & Shahin, A. (2013). A novel approach for supplier selection based on the Kano model and fuzzy MCDM. International Journal of Production Research, 51(18), 5469-5484. https://doi.org/10.1080/00207543.2013.784403
  16. Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner production, 47, 345-354.
  17. Habibi, A., Jahantigh, F. F., & Sarafrazi, A. (2015). Fuzzy Delphi technique for forecasting and screening items. Asian Journal of Research in Business Economics and Management, 5(2), 130-143.‏ http://dx.doi.org/10.5958/2249-7307.2015.00036.5
  18. Heshmati, A. (2019). The application of the healthcare supply chain in crisis and natural disasters. Journal of Decisions and Operations Research, 3(4), 359-367 [In Persian].‏ http://dx.doi.org/10.22105/dmor.2019.68087
  19. Hosseini S, Morshedlou N, Ivanov D, Sarder MD, Barker K, Al Khaled A. Resilient supplier selection and optimal order allocation under disruption risks. International Journal of Production Economics. 2019 Jul 1; 213:124-37. http://dx.doi.org/10.1016/j.ijpe.2019.03.018
  20. Ivanov D (2020) Predicting the impacts of epidemic outbreaks on global supply chains: a simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp Res Par. https://doi.org/10.1016/j.tre.2020.101922
  21. Janatyan, N., Zandieh, M., Alem Tabriz, A., & Rabieh, M. (2019). Optimizing Sustainable Pharmaceutical Distribution Network Model with Evolutionary Multi-objective Algorithms (Case Study: Darupakhsh Company). Production and Operations Management, 10(1), 133-153 [In Persian]. https://doi.org/10.22108/jpom.2019.110116.1123
  22. Kochakkashani, F., Kayvanfar, V., & Haji, A. (2023). Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19. Socio-Economic Planning Sciences, 87, 101602.‏ https://doi.org/10.1016/j.seps.2023.101602
  23. Lamouri, S., Pellerin, R., Tamayo, S., Lekens, B. (2020), Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges, Big Data Analytics in Production and Distribution Management. http://dx.doi.org/10.1080/00207543.2021.1950937
  24. Lee, E. K., Ha, S., & Kim, S. K. (2010). Supplier selection and management system considering relationships in supply chain management. IEEE transactions on engineering management, 48(3), 307-318. http://dx.doi.org/10.1109/17.946529
  25. Li, C. C., Fun, Y. P., & Hung, J. S. (1997). A new measure for supplier performance evaluation. IIE transactions, 29(9), 753-758. https://doi.org/10.1080/07408179708966385
  26. Manucharyan, H. , (2021). Multi-criteria decision making for supplier selection: a literature critique , Independent Journal of Management & Production 1, 12. https://doi.org/10.14807/ijmp.v12i1.1265
  27. Mishra, A. R., Rani, P., Krishankumar, R., Ravichandran, K. S., & Kar, S. (2021). An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19). Applied soft computing, 103, 107155.‏ https://doi.org/10.1016/j.asoc.2021.107155
  28. Nguyen, T. S., Mohamed, S., Rahman, A., Tonmoy, F., Tran, L. T., & Pham, T. K. (2022). Hybrid supplier selection considering reliability of criteria and importance of assessment values. International Journal of Integrated Supply Management, 15(1),48-27. https://doi.org/10.1504/IJISM.2022.119590
  29. Okeagu, C. N., Reed, D. S., Sun, L., Colontonio, M. M., Rezayev, A., Ghaffar, Y. A. & Kaye, A. D. (2021). Principles of supply chain management in the time of crisis. Best Practice & Research Clinical Anaesthesiology, 35(3), 369-376.‏ https://doi.org/10.1016/j.bpa.2020.11.007
  30. Patel, D., & Thakar, G. (2021). A Sector Wise Prioritization of Vendor Selection in Supply Chain using Multi-Criteria Decision-Making Method. Int J Comput Appl.‏ http://dx.doi.org/10.5120/ijca2021921073
  31. Patidar, D. K., & Sukhwani, V. K. (2021) An Efficient Supplier Selection For Indian Pharmaceutical Industry By Applying Fuzzy Topsis Method, International Journal Of Engineering Applied Sciences And Technology, No 2455-2143, 151-164.
  32. Ritchie, B.W. (2004) Chaos, crises and disasters: a strategic approach to crisis management in the tourism industry. Tourism Management 25(6), 669–683. https://doi.org/10.1016/j.tourman.2003.09.004
  33. Sangbor, M. A., Javidi, F., Golmohammadi, K., & Abbasi, R. (2020). A Framework for Evaluating and Selecting a Strategic Supplier (Case Study: Yazd Alloy Steel Corporation). Roshd-e-Fanavari, 3(63), 59 [In Persian]. http://dx.doi.org/10.52547/jstpi.20848.16.63.59
  34. Sawik, T. (2013). Selection of resilient supply portfolio under disruption risks.Omega, 41(2), 259-269. http://dx.doi.org/10.1016/j.omega.2012.05.003
  35. Sazvar, Z., Tavakoli, M., Ghanavati-Nejad, M., & Nayeri, S. (2022). Sustainable-resilient supplier evaluation for high-consumption drugs during COVID-19 pandemic using a data-driven decision-making approach. Scientia iranica. https://doi.org/10.24200/sci.2022.59789.6424
  36. Shahbahrami, E., Amoozad Mahdiraji, H., & Hosseinzadeh, M. (2020). Prioritizing Determinants of Drug sustainable supply chain management in Hospital Pharmacies. Journal of Health Administration, 23(2), 89-101. http://dx.doi.org/10.29252/jha.23.2.89
  37. Taghvaee sichani H, Esmaeilian M. Evaluation and ranking of suppliers using a combined approach of Kano and TOPSIS methods in a fuzzy environment (Case study of Goldaro Pharmaceutical Company) , 2nd International Conference on Industrial Management, Babolsar, Mazandaran University, Iran. 2017, 18 & 20 April [In Persian]
  38. Tirivangani, T,. Alpo, B,. Kibuulemm D ,. Impact of COVID-19 pandemic on pharmaceutical systems and supply chain – a phenomenological study (2021), Exploratory Research in Clinical and Social Pharmacy, 2(100037) https://doi.org/10.1016/j.rcsop.2021.100037
  39. Tushar, Z. N., Bari, A. M., & Khan, M. A. (2022). Circular supplier selection in the construction industry: A sustainability perspective for the emerging economies. Sustainable Manufacturing and Service Economics, 1, 100005. https://doi.org/10.1016/j.smse.2022.100005
  40. Vinodh, Ramiya Anesh, Gautham. “Application of fuzzy analytic network process for supplier selection In a manufacturing organization” Expert Systems with Applications, 1-9, 2010.
  41. Wang, Y. M., Yang, J. B., & Xu, D. L. (2005). A preference aggregation method through the estimation of utility intervals. Computers & Operations Research, 32(8), 2027-2049. http://dx.doi.org/10.1016/j.cor.2004.01.005
  42. Więckowski, J., Kizielewicz, B., Shekhovtsov, A., & Sałabun, W. (2023). How do the criteria affect sustainable supplier evaluation? -A case study using multi-criteria decision analysis methods in a fuzzy environment. Journal of Engineering Management and Systems Engineering, 2(1), 37-52. https://doi.org/10.56578/jemse020102
  43. Wu, C., Zou, H., & Barnes, D. (2021). Supplier selection in sustainable supply chains: a risk-based integrated group decision-making model.‏ http://dx.doi.org/10.21203/rs.3.rs-293117/v1
مطالعات مدیریت بحران
دوره 15، شماره 4
فصلنامه زمستان
آذر 1402
صفحه 127-152

فایل ها

سابقه مقاله

  • تاریخ دریافت: 03 شهریور 1402
  • تاریخ بازنگری: 12 آبان 1402
  • تاریخ پذیرش: 29 آبان 1402

هم رسانی

ارجاع به این مقاله

آمار