نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت صنعتی، دانشکده مدیریت، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران

2 استادیار گروه مدیریت صنعتی، دانشکده مدیریت، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران

3 دانشیار گروه مدیریت صنعتی، دانشکده مدیریت، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران

4 استاد گروه آموزش پزشکی، دانشکده آموزش پزشکی، دانشگاه علوم پزشکی شهید بهشتی، تهران، ایران

چکیده

در این مطالعه به منظور ارایه یک طبقه بندی جامع برای مخاطرات زنجیره تامین صنایع دارویی از راهبرد کلاسیک بیلی و روش چهار مرحله ای کولیر استفاده شده است. ابتدا بر اساس بررسی متون گروه های اصلی خطر و ارکان و مولفه های زنجیره تامین با درنظر گرفتن منابع و کارکردها و به تفکیک سازمانهای بالادست زنجیره تامین، صنعت اصلی و سازمان های پایین دست زنجیره تامین در محیط صنعت و بازار، محیط زیرساختی و محیط کلان بیرونی مدلسازی شدند. در مرحله بعد ملاک های مرتبط با امنیت و ایمنی زنجیره تامین شناسایی گردید. در مرحله آخر از جدولسازی متقابل ارکان زنجیره تامین با ملاک های امنیت و ایمنی، ماتریس دو بعدی طبقه بندی برای شناسایی عوامل خطر زنجیره تامین پیشنهاد گردید و بر اساس این طبقه بندی و با استفاده از مصداق یابی به روش سنتز چارچوب، فهرست مفصل عوامل خطر احصاء گردید.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Proposing a classification of supply chain risks in pharmaceutical industries

نویسندگان [English]

  • Seyedeh Sara Khorashadizadeh 1
  • Jalal Haghighat Monfared 2
  • Mohammadali Afshar Kazemi 3
  • Shahram Yazdani 4

1 PhD student in Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Department of Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

3 Associate Professor, Department of Industrial Management, Faculty of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

4 Professor, Department of Medical Education, Faculty of Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran

چکیده [English]

In this study, a comprehensive classification for supply chain risks in the pharmaceutical industry is presented using the Bailey’s classical strategy method and the four-stage Collier method. Initially, through the examination of texts related to the main hazard groups, supply chain elements, considering resources and functions, and categorizing upstream supply chain organizations, primary industry, and downstream supply chain organizations within the industrial and market environment, infrastructural environment, and external macro environment were modeled. In the next stage, criteria related to the security and safety of the supply chain were identified. In the final stage, a two-dimensional matrix classification for the identification of supply chain risk factors was proposed through the cross-tabulation of supply chain elements with security and safety criteria. Based on this classification and utilizing the exemplification method through a synthetic framework, a detailed list of risk factors was compiled. The aim of this study is to propose a comprehensive risk classification for pharmaceutical industries.
Method
Bailey’s classical strategy method has been used to develop a comprehensive classification of supply chain risks in pharmaceutical industries. In order to review the existing knowledge about supply chain risk groups, a systematic review of literature was performed. In the first stage, to find articles related to supply chain risks in the pharmaceutical industry, different combinations of related keywords have been used to search for articles in relevant databases. The selected articles were examined in three stages: extracting and classifying the main risk groups of the supply chain (the first dimension of the conceptual framework of classification), extracting and classifying criteria for a low-risk supply chain (the second dimension of the conceptual framework of classification), and applying the two-dimensional framework of classification to identify and classify risk factors of the supply chain.
Results
A total of 77 articles were selected for review. Based on the analysis of these articles, 83 risk groups were identified. These risk groups were arranged into a model including upstream supply organizations, the main industry, and downstream supply organizations, considering the relationships between supply chain’s resources, functions, and outcomes in the industry and market environment, infrastructural environment, and external macro environment. In the next step, 30 criteria for a safe and secure supply chain were identified. These criteria are divided into two general categories: criteria for the security of the internal supply chain environment (criteria of resistant supply chain resources and criteria of resilient supply chain functions) and criteria for the safety of the external supply chain environment (criteria of safety of market and industry, criteria of safety of infrastructural environment, and criteria of safety of external macro environment). In the last stage, through cross-tabulation of resource groups with resource resistance criteria, function groups with function resilience criteria, and peripheral environment elements with peripheral environment safety criteria, a model for identifying risk factors in the industrial environment was proposed. Based on this model, 372 risk factors of the supply chain of the pharmaceutical industry were identified.
Conclusion
In this study, a new classification for supply chain risks of the pharmaceutical industry has been presented. The proposed classification is highly comprehensive, and the number of risk groups counted in this study is more than all the studies that have been done in this field so far. Most existing risk taxonomies are incomplete and do not follow a specific theoretical model. The classification of risk groups identified in this study has been done based on a model that considers the relationship between assets, functions, and outcomes of the supply chain. The risk groups identified in this study cover from the upstream of the supply chain to the main industry and the downstream of the supply chain. Many risk taxonomies focus on the pharmaceutical industry and do not cover the entire supply chain from raw material production to customers. In this study, cross-tabulation of resource groups with resource resistance criteria, function groups with function resilience criteria, and peripheral environment elements with peripheral safety criteria create an ideal model for identifying risk factors in the industrial environment. The classification proposed in this study can be used to evaluate the resistance and resilience of the supply chain. This model can also provide a suitable basis for identifying and evaluating risks in the supply chain environment. In addition, results of this study provide a very practical guide for choosing supply chain risk management strategies.

کلیدواژه‌ها [English]

  • Supply Chain Resistance
  • Supply Chain Resilience
  • Pharmaceutical Industry
  • Supply Chain Risk Classification
  1. Abbasian, H., Yousefi-Zenouz, R., Abdollahiasl, A., Toroski, M., Nikfar, S., Siahi-Shadbad, M., & Kebriaeezadeh, A. (2021). Risk Factors of Supply Chain in Biopharmaceutical Companies in Iran. Pharmaceutical Sciences, 27(3), 439-449. https:/‌/‌doi.org/‌10.34172/‌ps.2020.93
  2. Agorzie, C. J., Monday , J. U., & Aderemi, H. O. (2017). Supply Chain Risk Factors’ Assessment in the Nigerian Pharmaceutical Industry. European Journal of Business and Management, 9(17), 130-138.
  3. Aguas, J. P., Adarme, W. A., & Arango Serna, M. D. (2013). Supply risk analysis: applying system dynamics to the Colombian healthcare sector. INGENIERIA E INVESTIGACION, 33(32), 76-81. https:/‌/‌doi.org/‌10.15446/‌ing.investig.v33n3.41050
  4. Aityassine, F. L., Soumadi, M. M., Aldiabat, B. F., Alshorman, H. M., Akour, I., Alshurideh, M. T., & Al-Hawary, S. I. (2022). The effect of supply chain resilience on supply chain performance of chemical industrial companies. Uncertain Supply Chain Management, 10, 1271–1278. https:/‌/‌doi.org/‌10.5267/‌j.uscm.2022.8.001
  5. Al Humdan, E., Shi, Y., & Behnia, M. (2020). Supply chain agility: a systematic review of definitions, enablers and performance implications. International Journal of Physical Distribution & Logistics Management, 50(2), 287-312. https:/‌/‌doi.org/‌10.1108/‌ijpdlm-06-2019-0192
  6. Aqlan, F., & Lam, S. S. (2015). Supply chain risk modelling and mitigation. International Journal of Production Research, 53(18), 5640-5656. https:/‌/‌doi.org/‌10.1080/‌00207543.2015.1047975
  7. Azadegan, A., Abbas Syed, T., & Blome, C. (2020). Supply chain involvement in business continuity management: effects on reputational and operational damage containment from supply chain disruptions. Supply Chain Management, 25(6), 747-772. https:/‌/‌doi.org/‌10.1108/‌scm-08-2019-0304
  8. Azadegan, A., Modi, S., & Lucianetti, L. (2021). Surprising supply chain disruptions: Mitigation effects of operational slack and supply redundancy. International Journal of Production Economics, 240(1). https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2021.108218
  9. Bagus, P., Daumann, F., & Follert, F. (2022). Toward a total morality of supply chain acts. Management Decision, 60(2), 1541-1559. https:/‌/‌doi.org/‌10.1108/‌md-12-2020-1626
  10. Bailey, K. D. (1994). Typologies aod taxonomies: An introduction to classification techniques. Sugc Publicutions. https:/‌/‌doi.org/‌10.4135/‌9781412986397
  11. Bandaaly, D., Satir, A., Kahyaoglu, Y., & Shanker, L. (2012). Supply chain risk management: Conceptualization, framework and planning process. Risk Management, 14, 249 – 271. https:/‌/‌doi.org/‌10.1057/‌rm.2012.7
  12. Benazzouz, T., Echchtabi, A., & Charkaoui , A. (2020). Using Ontology as a Decision Support System for Manage Risks in Medicines Supply Chain: Case of Public Hospitals in Morocco. University Hassan 1st, Laboratory of Mechanics, Morocco. https:/‌/‌doi.org/‌10.1051/‌matecconf/‌201710500012
  13. Ben-faress, M., Elouadi, A., & Gretete, D. (2019). Framework and Development of a Collaborative Supply Chain Model. International Journal of Supply Chain Management, 8(3), 833-837. https:/‌/‌doi.org/‌10.3844/‌ajeassp.2019.147.155
  14. Blackhurst, J. V., Scheibe, K. P., & Johnso, D. J. (2008). Supplier Risk Assessment and Monitoring for the Automotive Industry. International Journal of Physical Distribution & Logistics Management, 38, 143-165. https:/‌/‌doi.org/‌10.1108/‌09600030810861215
  15. Blos, M. F., Hoeflich, S. L., Dias, E. M., & Wee, H. M. (2016). A note on supply chain risk classification: discussion and proposal. International Journal of Production Research, 54(5), 1-2. https:/‌/‌doi.org/‌10.1080/‌00207543.2015.1067375
  16. Bogataj, D., & Bogataj, M. (2007). Measuring the Supply Chain Risk and Vulnerability in Frequency Space. International Journal of Production Economics, 108, 291-301. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2006.12.017
  17. Breen, L. (2008). A Preliminary Examination of Risk in the Pharmaceutical Supply Chain (PSC) in the National Health Service (NHS). Serv. Sci. & Management, 1, 193-199. https:/‌/‌doi.org/‌10.4236/‌jssm.2008.12020
  18. Brunton, G. Oliver, S. Thomas, J. (2020) Innovations in framework synthesis as a systematic review method; Research Synthesis Methods; 11:316-330 https:/‌/‌doi.org/‌10.1002/‌jrsm.1399
  19. Butt, A. S. (2022). Understanding the implications of pandemic outbreaks on supply chains: an exploratory study of the effects caused by the COVID-19 across four South Asian countries and steps taken by firms to address the disruptions. International Journal of Physical Distribution & Logistics Management, 52(4), 370-392. https:/‌/‌doi.org/‌10.1108/‌ijpdlm-08-2020-0281
  20. Cagliano, A. C., De Marco, A., Grimaldi, S., & Rafele , C. (2012). An integrated approach to supply chain risk analysis. Journal of risk research, 15(7), 817-840. https:/‌/‌doi.org/‌10.1080/‌13669877.2012.666757
  21. Carrol, C. Booth, A. Leaviss, J. & Rick, J. (2013) Best fit framework synthesis : refining the method; BMC Medical Research Methodology; 13:37. https:/‌/‌doi.org/‌10.1186/‌1471-2288-13-37
  22. Cavinato, J. L. (2004). Supply Chain Logistics Risks: From the Back Room to the Board Room. International Journal of Physical Distribution & Logistics Management, 34, 383-387. https:/‌/‌doi.org/‌10.1108/‌09600030410545427
  23. Ceryno, P. S., Scavarda, L. F., & klingebiel, K. (2015). Supply chain risk: empirical research in the automotive industry. Journal of Risk Research, 18(9), 1145-1164. https:/‌/‌doi.org/‌10.1080/‌13669877.2014.913662
  24. Cheng, S. K., & Kam, B. H. (2008). A conceptual framework for analysing risk in supply networks. Journal of Enterprise Information Management, 22, 345-360.
  25. Chilton , A. S., & Sarfaty, G. (2016). The Limitations of Supply Chain Disclosure Regimes. University of Chicago Law School.
  26. Chopra, S., & Sodhi, M. S. (2004). Managing Risk to Avoid Supply-Chain Breakdown. MIT Sloan Management Review, 46, 53-62. https:/‌/‌doi.org/‌10.1007/‌978-1-84882-634-2_3
  27. Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2), 1-13. https:/‌/‌doi.org/‌10.1108/‌09574090410700275
  28. Collier, D., (2008). Typologies: Forming concepts and creating categorical variables. Book Chapter: The Oxford Handbook of Political Methodology; Oxford University Press. https:/‌/‌doi.org/‌10.1093/‌oxfordhb/‌9780199286546.003.0007
  29. Collier, D., LaPorte, J., Searight, J. (2012). Putting Typologies to Work: Concept Formation, Measurement, and Analytic Rigor. Political Research Quarterly. 65(1) 217-232. https:/‌/‌doi.org/‌10.1177/‌1065912912437162
  30. Colvill, S., Roades, T., Kroetsch, A., & McClellan, M. (2021). Supporting Resilient Drug Supply Chains in the United States: Challenges and Potential Solutions. Duke University, Margolis Center for Health Policy .
  31. Cruz, J. M. (2013). Mitigating global supply chain risks through corporate social responsibility. International Journal of Production Research, 51(13), 3995-4010. https:/‌/‌doi.org/‌10.1080/‌00207543.2012.762134
  32. de Vries, H., Jahre, M., Selviaridis, K., & van Oorschot, K. (2021). A review of scientific and grey literature on medicine shortages and the need for a research agenda in Operations and Supply Chain Management. BI Norwegian Business School. https:/‌/‌doi.org/‌10.1108/‌ijopm-03-2021-0175
  33. Dehkhoda, K. (2016). Developing a framework on supply chain risk mapping, prioritization and engagement. Dissertation. Montreal, Canada: Concordia University.
  34. Deleris, L. A., & Erhun, F. (2011). Quantitative risk assessment in supply chains: a case study based on engineering risk analysis concepts. In Planning Production and (pp. 105-131). New York.: Springer . https:/‌/‌doi.org/‌10.1007/‌978-1-4419-8191-2_5
  35. Dullaert, W. E., Ghiami, Y., Jagtenberg, C. J., Silva, R. R., & Wissink, P. L. (2021). An exploratory analysis of the Dutch pharmaceutical supply chain. Amsterdam: Vrije Universiteit .
  36. (2019). Medicines shortage report: medicines shortages in European hospitals. . European Association of Hospital Pharmacists. https:/‌/‌doi.org/‌10.1136/‌ejhpharm-2013-000436.427
  37. (2020). Policy proposals to minimise medicine supply shortages. The European Federation of Pharmaceutical Industries and Associations. https:/‌/‌doi.org/‌10.1211/‌pj.2017.20202499
  38. Enyinda, C. I., Gebremikael, F., & Ogbuehi, A. O. (2014). An analytical model for healthcare supply chain risk management. African Journal of Business and Economic Research, 9(1), 13-27. https:/‌/‌doi.org/‌10.1002/‌tie.20309
  39. (2019). Drug shortages: root causes and potential solutions. . U.S. Food and Drug Administration. https:/‌/‌doi.org/‌10.7717/‌peerj.15250/‌fig-6
  40. (2021). Drug Shortages for Calendar Year 2021. Report to Congress, The Food and Drug Administration , Safety and Innovation Act.
  41. (2022). Supply shortages of human medicines in Switzerland: Situational analysis and improvement measures to be reviewed. Federal Office of Public Health , Federal Department of Home Affairs, Switzerland. https:/‌/‌doi.org/‌10.3326/‌pse.42.3.3
  42. Friday, D., Savage, D. A., Melnyk, S. A., Harrison, N., Ryan, S., & Wechtler, H. (2021). A collaborative approach to maintaining optimal inventory and mitigating stockout risks during a pandemic: capabilities for enabling health-care supply chain resilience. Journal of Humanitarian Logistics and Supply Chain Management, 11(2), 248-271. https:/‌/‌doi.org/‌10.1108/‌jhlscm-07-2020-0061
  43. Gómeza, J. O., & España, K. T. (2020). Operational Risk Management in the Pharmaceutical Supply Chain Using Ontologies and Fuzzy QFD. /‌ Procedia Manufacturing, 51, 1673–1679. https:/‌/‌doi.org/‌10.1016/‌j.promfg.2020.10.233
  44. Govindan, K., & Chaudhuri, A. (2016). Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approache. Transportation Research, Part E, 177-195. https:/‌/‌doi.org/‌10.1016/‌j.tre.2015.11.010
  45. Gružauskas, V., Burinskiene, A., & Industry, T. C. (2022). Managing Supply Chain Complexity and Sustainability:. Processes, 10(852), 1-21. https:/‌/‌doi.org/‌10.3390/‌pr10050852
  46. Hagspiel , S. (2016). Supply Chain Reliability and the Role of Individual. EWI Working Paper, University of Cologne , Institute of Energy Economics. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2016.06.021
  47. Han , X. (2009). Research on Relevance of Supply Chain and Industry Cluster. International Journal of Marketing Studies, 1(2), 127-130. https:/‌/‌doi.org/‌10.5539/‌ijms.v1n2p127
  48. Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply management. 9(2), 51-62. https:/‌/‌doi.org/‌10.1016/‌s1478-4092(03)00004-9
  49. Heiskanen, K., Ahonen, R., Kanerva, R., Karttunen, P., & Timonen, J. (2017). The reasons behind medicine shortages from the perspective of pharmaceutical companies and pharmaceutical wholesalers in Finland. PLoS One, 12(6), 1-14. https:/‌/‌doi.org/‌10.1371/‌journal.pone.0179479
  50. Hesham, M. (2015). Supply Chain Risk Management at Pharco Pharmaceuticals, a pharmaceutical manufacturer in Egypt. dissertation. Norway: Molde University College.
  51. Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, 53(16), 5031-5069. https:/‌/‌doi.org/‌10.1080/‌00207543.2015.1030467
  52. Innovazione, A. (2016). Business Support Ecosystem. TRINNO Business Support Ecosystem Components report, European Union , European Regional Development.
  53. Jaberidoost, M., Nikfar, S., Abdollahiasl, A., & Dinarvand, R. (2013). Pharmaceutical supply chain risks: a systematic review. DARU Journal of Pharmaceutical Sciences, 21(69), 1-7. https:/‌/‌doi.org/‌10.1186/‌2008-2231-21-69
  54. Jaberidoost, M., Olfat, L., Hosseini, A., Kebriaeezadeh, A., Abdollahi, M., Alaeddini, M., & Dinarvand, R. (2015). Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods. Journal of pharmaceutical policy and practice, 8(1), 9-17. https:/‌/‌doi.org/‌10.1186/‌s40545-015-0029-3
  55. Jecker, N. S., & Atuire, C. A. (2021). What’s yours is ours: waiving intellectual property protections for COVID-19 vaccines. J Med Ethics, 47, 595–598. https:/‌/‌doi.org/‌10.1136/‌medethics-2021-107555
  56. Jiang, B., Baker, R. C., & Frazier, G. V. (2009). An analysis of job dissatisfaction and turnover to reduce global supply chain risks: Evidence from China. Journal of Operations Management, 27, 169-184. https:/‌/‌doi.org/‌10.1016/‌j.jom.2007.09.002
  57. Jnandev, K. K., Krishnananda, K. K., & Mohamad, A. S. (2012). Evaluation of different types of risks in pharmaceutical supply chain. American Journal of Pharmtech Research, 2(4), 280-287.
  58. Jüttner, U., Peck, H., & Christopher, M. (2003). Supply Chain Risk Management: Outlining an Agenda for Future Research. International Journal of Logistics: Research and Applications, 6, 197-210. https:/‌/‌doi.org/‌10.1080/‌13675560310001627016
  59. Khorashadizadeh, S., Haghighat Monfared, J., Afshar Kazemi , M., & Yazdani, S. (2022). Proposing a model-based ontology for supply chain risk management. Iranian Journal of Management Sciences, 17(66), 21-56.
  60. Kleindorfer, P. R., & Saad, G. H. (2005). Managing Disruption Risks in Supply Chains. Production and Operations Management, 14(1), 53-68. https:/‌/‌doi.org/‌10.1111/‌j.1937-5956.2005.tb00009.x
  61. Kochan, C. G., & Nowicki, D. R. (2018). Supply chain resilience: a systematic literature review and typological framework. International Journal of Physical Distribution & Logistics Management, 48(8), 842-865. https:/‌/‌doi.org/‌10.1108/‌ijpdlm-02-2017-0099
  62. König, A., & Spinler, S. (2016). The effect of logistics outsourcing on the supply chain vulnerability of shippers: Development of a conceptual risk management framework. The International Journal of Logistics Management, 27(1), 122-141. https:/‌/‌doi.org/‌10.1108/‌ijlm-03-2014-0043
  63. Kruizinga, A. (2021). The taxonomy's role in transforming risk management. Reshaping the risk taxonomy, Pwc, Netherland.
  64. Kumar, S. K., Tiwari, M. K., & Babiceanu, R. F. (2010). Minimisation of Supply Chain Cost with Embedded Risk Using Computational Intelligence Approaches. International Journal of Production Research, 48, 3717–3739. https:/‌/‌doi.org/‌10.1080/‌00207540902893425
  65. Kungwalsong, K. (2013). Managing Disruption Risks in Global Supply Chains. Dissertation. The Pennsylvania State University. https:/‌/‌doi.org/‌10.4018/‌978-1-4666-5202-6.ch020
  66. Kwizera Mugabo, R. (2022). Improving products lead time: Supply chain proactivity and bottlenecks resolution. Louvain School of Management, Université catholique de Louvain.
  67. Kwon, H., Campbell, C., Brinson, S., & White, C. K. (2022). Situational awareness for a resilient supply chain. Infosys Consulting Perspective. https:/‌/‌doi.org/‌10.51432/‌978-1-8381524-2-0-6
  68. Lahdesmaki, T., Hurme, P., Koskimaa, R., Mikkola, L., & Himberg, T. (2022, 11 25). Mapping Research Methods. Retrieved from Methods Paths for Humanists.
  69. Latifi , M. (2019). Methodology of Typology: An Approach to Theory Building in Management. Journal of Iranian Public Administration Studies, 1(2), 25-52.
  70. Liu, S., Papageorgiou, L. G., & Shah, N. (2020). Optimal design of low-cost supply chain networks on the benefits of new product formulations. Computers & Industrial Engineering, 139. doi:10.1016/‌j.cie.2019.106189
  71. Lockamy , I. A., & McCormack, K. (2012). Modelling supplier risks using Bayesian networks. Induatrial Management and Data Systems, 112(2), 313-333. https:/‌/‌doi.org/‌10.1108/‌02635571211204317
  72. Männistö, T., Hintsa , J., & Urciuoli, L. (2014). Supply chain crime – taxonomy development and empirical validation. J. Shipping and Transport Logistics, 6(3), 238-256. https:/‌/‌doi.org/‌10.1504/‌ijstl.2014.060784
  73. Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management. Journal of Business Logistics, 29(1), 133-255. https:/‌/‌doi.org/‌10.1002/‌j.2158-1592.2008.tb00072.x
  74. Manuj, I., Espe, T. L., & Stank, T. P. (2014). Supply chain risk management approaches under different conditions of risk. . Journal of Business Logistics, 35(3), 241-258. Manuj, I., Espe, T. L., & Stank, T. P. (2014). Supply chain risk management approaches under different conditions of risk. . Journal of Business Logistics, 35(3), 241-258.
  75. Marradi, A. (1990). Classification, typology, taxonomy. Quality & Quantity, 24, 129-157. https:/‌/‌doi.org/‌10.1007/‌bf00209548
  76. Maryniak, A. (2022). Building Resilience Attributes of Supply Chains from the Perspective of their Types. Management Systems in Production Engineering, 30(3), 253-261. https:/‌/‌doi.org/‌10.2478/‌mspe-2022-0032
  77. Matook, S., Lasch, R., & Tamaschke, R. (2009). Supplier development with benchmarking as part of a comprehensive supplier risk management framework. International Journal of Operations & Production Management, 29(3), 241-267. https:/‌/‌doi.org/‌10.1108/‌01443570910938989
  78. McCarthy, T. M., & Mentzer, B. J. (2011). Integrating supply chain infrastructure and process to create joint value. International Journal of Physical Distribution & Logistics Management, 41(2), 135 - 161. https:/‌/‌doi.org/‌10.1108/‌09600031111118530
  79. McLaughlin, M., Kotis, D., Thomson, K., Harrison, M., Fennessy, G., Postelnick, M., & Scheetz, M. H. (2013). Effects on patient care caused by drug shortages: a survey. Journal of managed care pharmacy, 19(9), 783-8. https:/‌/‌doi.org/‌10.18553/‌jmcp.2013.19.9.783
  80. Miller, F. A., Young, S. B., Dobrow, M., & Shojania, K. G. (2021). Vulnerability of the medical product supply chain: the wake-up call of COVID-19. BMJ Quality & Safety, 30, 331-335. https:/‌/‌doi.org/‌10.1136/‌bmjqs-2020-012133
  81. Mokrini, A., Dafaoui, E., Berrado, A., & Mhamedi, A. (2016). An approach to risk assessment for outsourcing logistics: Case of pharmaceutical industry. IFAC PapersOnLine, 49(12), 1239-1244. https:/‌/‌doi.org/‌10.1016/‌j.ifacol.2016.07.681
  82. Moslemi , A., Hilmola, O. P., & Vilko, J. (2016). Risks in emerging markets: logistics services in the Mediterranean region. Maritime Business Review, 1(3), 253-272. https:/‌/‌doi.org/‌10.1108/‌mabr-08-2016-0017
  83. Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180-4195. https:/‌/‌doi.org/‌10.1080/‌00207543.2016.1267413
  84. Narenjian, A., Riahi, A., & Kheirabadi, M. A. (2019). Supply chain management and analysis of pharmaceutical distribution models in pharmaceutical companies. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 10(15), 1-15.
  85. Negi, S. (2021). Supply chain efficiency framework to improve business performance in a competitive era. Management Research Review, 44(3), 477-508. https:/‌/‌doi.org/‌10.1108/‌mrr-05-2020-0272
  86. Nilsson, F. (2004). Simplicity vs. complexity in the logistics discipline - a paradigmatic discourse. Linköpings Universitet.
  87. Oke, A., & Gopalakrishnan, M. (2009). Managing disruptions in supply chains: A case study of a retail supply chain. International journal of production economics, 118, 168-174. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2008.08.045
  88. Olson, D. L., & Wu, D. D. (2010). A Review of Enterprise Risk Management in Supply Chain. Kybernetes, 39, 694–706. https:/‌/‌doi.org/‌10.1108/‌03684921011043198
  89. (2019). What constitutes a good risk taxonomy? Open Risk Academy.
  90. Ostrovsky, M. (2008). Stability in Supply Chain Networks. American Economic Review, 98(3), 897–923. https:/‌/‌doi.org/‌10.1257/‌aer.98.3.897
  91. Papalexi, M., Bamford, D., & Breen, L. (2019). Key sources of operational inefficiency in the pharmaceutical supply chain. Supply Chain Management: An International Journal. doi:DOI 10.1108/‌SCM-02-2019-0076
  92. Paulraj, A., & Blome, C. (2017). Plurality in environmental supply chain mechanisms: Differential effects on triple bottom line outcomes. International Journal of Operations & Production Management, 37(5). doi:10.1108/‌IJOPM-11-2015-0722
  93. Pawlisiak, M. (2021). Timeliness in the Supply Chain as Determinant of the Functioning of the Logestics Processes. 37th IBIMA Conference . Cordoba, Spain.
  94. Perez-Franco, R., Caplice, C., Singh, M., & Sheffi, Y. (2012). A type-independent approach to supply-chain strategy evaluation. ESD Working Paper , MIT, Massachusetts, USA. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2016.09.012
  95. Phuong, J. M., Penm, J., Chaar, B., Oldfield, L. D., & Moles, R. (2019). The impacts of medication shortages on patient outcomes: A scoping review. PLoS ONE, 14(5), 1-17. https:/‌/‌doi.org/‌10.1371/‌journal.pone.0215837
  96. Povoa, A. P., Jenzer, H., & de Miranda, J. L. (2019). Pharmaceutical Supply Chains - Medicines Shortages. https:/‌/‌doi.org/‌10.1007/‌978-3-030-15398-4
  97. Prakash, C., & Barua, M. K. (2016). An analysis of integrated robust hybrid model for third party reverse logistics partner selection under fuzzy environment. Resources Conservation and Recycling, 108, 63-81. https:/‌/‌doi.org/‌10.1016/‌j.resconrec.2015.12.011
  98. Quang, H. T., & Hara, Y. (2017). Risks and performance in supply chain: the push effect. International Journal of Production Research, 56(4), 1-20. https:/‌/‌doi.org/‌10.1080/‌00207543.2017.1363429
  99. Raka, C., & Liangrokapart, J. (2015). Supply Chain Risk Management: A Case Study in Thailand. The Hamburg International Conference of Logistics. Berlin: 557-580.
  100. Rangel, D. A., Oliveira, T. K., & Leite, M. S. (2014). Supply chain risk classification: discussion and proposal. International Journal of Production Research, 53(22), 6868-6887. https:/‌/‌doi.org/‌10.1080/‌00207543.2014.910620
  101. Ranjithkumar , R., & Yadav, I. S. (2018). A Study of Effectiveness Analysis of Supply Chain Management in Manufacturing Companies in India. IJARIIE, 4(2), 2395-4396.
  102. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management, 20(1), 97-123. https:/‌/‌doi.org/‌10.1108/‌09574090910954864
  103. Ravela, R., Lyles, A., & Airaksinen, M. (2022). National and transnational drug shortages: a quantitative descriptive study of public registers in Europe and the USA. BMC Health Services Research, 22(940), 1-12. https:/‌/‌doi.org/‌10.1186/‌s12913-022-08309-3
  104. Ravindran, A. R., & Warsing, D. P. (2013). Supply Chain Engineering: Models and Applications. CRC Press. https:/‌/‌doi.org/‌10.1201/‌9781003283393-1
  105. Rayk, G. (2022). Achieving Supply Chain resilience: the role of strategic sourcing. International Journal of Accounting, Finance, Auditing, Management and Economics, 3(4), 623-636.
  106. Rezaei, J., Olson, D. L., & Sarkis, J. (2020). Supply Chain Management and Management Science: A Successful Marriage. Journal of Supply Chain Management Science, 1(1-2), 1-14. https:/‌/‌doi.org/‌10.18757/‌jscms.2020.1734
  107. Richey, R. G., Roath, A. S., Adams, F. G., & Wieland, A. (2022). A Responsiveness View of Logistics and Supply Chain. Journal of Business Logistics, 43(1), 62-91. https:/‌/‌doi.org/‌10.1111/‌jbl.12290
  108. Roger, H., Srivastava, M., Pawar, , K. S., & Shah, J. (2016). Supply chain risk management in India - practical insights. International Journal of Logistics Research and Applications, 19(4), 278-299. https:/‌/‌doi.org/‌10.1080/‌13675567.2015.1075476
  109. Rojon, C., Okupe, A., & McDowall, A. (2021). Utilization and development of systematic reviews in management research: What do we know and where do we go from here? International Journal of Management Reviews, 23, 191–223. https:/‌/‌doi.org/‌10.1111/‌ijmr.12245
  110. Samvedi, A., Jain, V., & Chan, F. T. (2013). Quantifying Risks in a Supply Chain through Integration of Fuzzy AHP and Fuzzy TOPSIS. International Journal of Production Research, 51, 2433–2442. https:/‌/‌doi.org/‌10.1080/‌00207543.2012.741330
  111. Sarkis, M., Bernardi, A., Shah, N., & Papathanasiou, M. M. (2021). Emerging Challenges and Opportunities in Pharmaceutical Manufacturing and Distribution. Processes, 9(457), 1-16. https:/‌/‌doi.org/‌10.3390/‌pr9030457
  112. Scala, B., & Lindsay , C. F. (2021). Supply chain resilience during pandemic disruption: evidence from healthcare. Supply Chain Management, 26(6), 672-688. https:/‌/‌doi.org/‌10.1108/‌scm-09-2020-0434
  113. Schlegel, G. L., & Trent, R. J. (2015). Supply Chain Risk Management: An Emerging Discipline. CRC Press - Taylor & Francis Group. https:/‌/‌doi.org/‌10.1201/‌b17531
  114. Senna, P., Reis, A., Santos, I. L., Dias, A. C., & Coelho, O. (2020). A systematic literature review on supply chain risk management. Benchmarking: An International Journal. doi:DOI 10.1108/‌BIJ-05-2020-0266 https:/‌/‌doi.org/‌10.1108/‌bij-05-2020-0266
  115. Shahbaz, M. S., Rasi, R. Z., & Bin Ahmad, F. (2019). A Novel Classification of Supply Chain Risks: Scale Development and Validation. Journal of Industrial Engineering and Management, 12(1), 201-218. https:/‌/‌doi.org/‌10.3926/‌jiem.2792
  116. Shahrur, H., Becker , Y. L., & Rosenfel, D. (2010). Return Predictability along the Supply Chain: The International Evidence. Financial Analysts Journal, 66(3), 60-77. https:/‌/‌doi.org/‌10.2469/‌faj.v66.n3.8
  117. Shekarian , M., & Mellat Parast, M. (2020). An Integrative approach to supply chain disruption risk and resilience management: a literature review. International Journal of Logistics: Research and Applications. doi:10.1080/‌13675567.2020.1763935
  118. Shepherd , B., & Archanskaia, L. (2014). Evaluation of Value Chain Connectedness in the APEC Region. APEC Policy Support Unit.
  119. Simatupang, T., & Sridharan, R. (2002). The Collaborative Supply Chain. The International Journal of Logistics Management, 13(1), 15-30. doi:10.1108/‌09574090210806333
  120. Singh, M. (2020). Creating a Proactive Organization through a Cohesive Supply Chain. Chicago: Association for Supply Chain Management.
  121. Singh, N. P. (2018). Developing Risk Management Capabilities for Achieving Supply Chain Outcomes (Dissertation). The University of Toledo.
  122. Somapa, S., Cools, M., & Dullaert, W. (2016). Characterizing supply chain visibility - a literature review. International Journal of Logistics Management, 29(1), 308-339. https:/‌/‌doi.org/‌10.1108/‌ijlm-06-2016-0150
  123. Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: the moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332-342. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2017.07.024
  124. Sreedharan, V. R., Kamala, V., & Arunprasad , P. (2019). Supply chain risk assessment in pharmaceutical industries: an empirical approach. J. Business Innovation and Research, 18(4), 541-571. https:/‌/‌doi.org/‌10.1504/‌ijbir.2019.10020176
  125. Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: definition and review. International Journal of Operations & Production Management, 27(7), 685-713. https:/‌/‌doi.org/‌10.1108/‌01443570710756956
  126. Sutrisno, A., & Kumar, V. (2022). Supply Chain Sustainability Risk Decision Support Model Using Integrated Preference Selection Index (PSI) Method and Prospect Theory. Journal of Advances in Management Research, 1-42. https:/‌/‌doi.org/‌10.1108/‌jamr-06-2021-0193
  127. Szuster, M., & Lotko, M. (2022). Disruptions and Risk Management in Supply Chains Before and During the COVID-19 Pandemic. European Research Studies Journal, XXV(2B), 225-234. https:/‌/‌doi.org/‌10.35808/‌ersj/‌2956
  128. Tamrie, M. (2021). Assessment of Pharmaceutical Supply Chain Risk management. Dissertation. Addis Ababa, Ethiopia: Addis Ababa University.
  129. Tang, C. S., & Tomlin, B. (2008). The Power of Flexibility for Mitigating Supply Chain Risks. International Journal of Production Economics, 116, 12-27. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2008.07.008
  130. Thun, J. H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242-249. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2009.10.010
  131. Torabi, S. A., Giahi, R., & Sahebjamnia, N. (2016). An enhanced risk assessment framework for business continulty management systems. Safety Science, 89, 201-218. https:/‌/‌doi.org/‌10.1016/‌j.ssci.2016.06.015
  132. Trkman, P., & McCormack, K. (2009). Supply Chain Risk in Turbulent Environments – A Conceptual Model for Managing Supply Chain Network Risk. International Journal of Production Economics, 19, 247–258. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2009.03.002
  133. Tsampoulatidis, Y., Achillas, C., Aidonis, D., Mourouzis, A., & Koritsoglou, K. (2022). Development of a Tool for Auditing Accessibility of Public Infrastructure and Points of Interest in Urban Areas. 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). Ioannina, Greece.
  134. Tse, Y. K. (2012). Supply chain quality risk management: An empirical study of its dimensions and impact on firm performance. Dissertation. University of Nottingham.
  135. Tukamuhabwa, B., Stevenson, M., & Busby, J. (2017). Supply chain resilience in a developing country context: a case study of the interconnectedness of threats, strategies and outcomes. Supply Chain Management: An International Journal,, 22(6), 486-505. https:/‌/‌doi.org/‌10.1108/‌scm-02-2017-0059
  136. Tummala, R., & Schoenherr, T. (2011). Assessing and Managing Risks Using the Supply Chain Risk Management Process. Supply Chain Management: An International Journal, 16, 474–483. https:/‌/‌doi.org/‌10.1108/‌13598541111171165
  137. Udbye , A. (2014). Supply Chain Risk Management in India: An Empirical Study of Sourcing and Operations isruptions, their F Disruptions, their Frequency equency, Severity, Mitigation , Mitigation Methods, and Expectations (Dissertation). Portland State University .
  138. Uyesi, O. (2020). An Analysis Of The Effects Of Infrastructure Quality On The Logistics Performance For The International Trade. Journal of Entrepreneourship and Development, 15(2), 166-171.
  139. Vilko, J. P., & Hallikas, J. M. (2012). Risk assessment in multimodal supply chains. International Journal of Production Economics, 140(2), 586-595. https:/‌/‌doi.org/‌10.1016/‌j.ijpe.2011.09.010
  140. Wagner, S. M., & Bode, C. (2008). An Empirical Examination of Supply Chain Performance Along Several Dimensions of Risk. Journal of Business Logistics, 29, 307–325. https:/‌/‌doi.org/‌10.1002/‌j.2158-1592.2008.tb00081.x
  141. Wang, L. (2018). Research on Risk Management for Healthcare Supply Chain in Hospital. Dissertation. UK: Liverpool John Moores University.
  142. White, W. J., O’Connor , A. C., & Rowe, B. R. (2004). Economic Impact of Inadequate Infrastructure for Supply Chain Integration.S. Department of Commerce: National Institute of Standards and Technology.
  143. Wicaksana, A., Ho, W., Talluri , S., & Dolgui, A. (2022). A decade of progress in supply chain risk management: risk typology, emerging topics, and research collaborators. International Journal of Production Research, 1-23. doi:10.1080/‌00207543.2022.2077672
  144. Wu, S., Luo, M., Zhang, J., Zhang, D., & Zhang, L. (2022). Pharmaceutical Supply Chain in China: Pricing and Production Decisions with Price-Sensitive and Uncertain Demand. Sustainability, 14(7551), 1-28. https:/‌/‌doi.org/‌10.3390/‌su14137551
  145. Yazdani, S. Hajiahmadi, M. (2021) Operationalization of the concepts of interdisciplinarity: An implication elicitation exercises based on the framework synthesis methodology; Journal of Education and Health Promotion; 10, 450-462. https:/‌/‌doi.org/‌10.47176/‌mjiri.34.118
  146. Zsidisin, G. A. (2003). A grounded definition of supply risk. Journal of Purchasing & Supply Management, 9, 217-224. https:/‌/‌doi.org/‌10.1016/‌j.pursup.2003.07.002