فصلنامه مطالعات مدیریت راهبردی

فصلنامه مطالعات مدیریت راهبردی

تحول دیجیتال با بلاک‌چین برای موفقیت پیاده­سازی زنجیره ­تامین دارو

نوع مقاله : پژوهشی

نویسندگان
1 دانشجوی دکتری، دانشکده مدیریت و حسابداری، دانشکدگان فارابی، دانشگاه تهران، قم، ایران
2 استادیار، دانشکده مدیریت و احسابداری، دانشکدگان فارابی، دانشگاه تهران، قم، ایران
چکیده
با افزایش تعداد نهادها یا شرکت‌کنندگان در زنجیره‌تامین دارویی، پیچیدگی و انتزاع تحویل دارو از تولیدکننده به مصرف‌کننده افزایش یافته است که نگرانی‌های جدیدی مانند داروهای تقلبی، اطلاعات نادرست، ناقص یا بدون اطلاعات در مورد دارو را ایجاد کرده است. در نتیجه اعتماد مشتری را تضعیف می‌کند و مهم‌تر از همه تاخیر در توزیع که می‌تواند تأثیر جدی بر زندگی مصرف‌کننده و همچنین رشد کسب‌وکار داشته باشد. با توجه به همه این چالش‌ها، نیاز به یک زنجیره‌تامین دارویی قوی وجود دارد. بنابراین، هدف اصلی این مقاله، مطالعه عوامل موفقیت در پیاده‌سازی فناوری بلاک چین در زنجیره‌تأمین دارویی ایران است که ممکن است اولین تلاش واقعی باشد.
پس از یک مرور سیستماتیک ادبیات و رویکرد استخراج متن، 57 مقاله میان‌رشته‌ای منتشر شده بین سال‌های 2015 تا 2025 مورد مطالعه قرار گرفت تا عوامل مؤثر در پیاده‌سازی موفقیت‌آمیز فناوری بلاک‌چین در زنجیره‌تامین دارویی شناسایی شود. نتیجه این بررسی منجر به شناسایی 29 عامل اثرگذار شد که در 6 دسته طبقه‌بندی شدند. پس از آن فرمولاسیون مدل با کمک دلفی فازی برای عملیاتی‌سازی و فرآیند غربالگری عوامل بر اساس نظرات کارشناسان انجام شد. در مرحله بعد با کمک رویکرد فوکام فازی (Z-FUCOM) با هدف تعیین بااهمیت‌ترین عوامل در پیاده‌سازی فناوری بلاک‌چین اعمال شد. نتایج کلی تأکید کردند که عوامل "فنی، سازمانی و خدمات مشتری" ممکن است به پیاده-سازی موفق بلاک‌چین در زنجیره‌تامین دارویی کمک کنند، در حالی‌که سایر عوامل مانند هزینه، توسعه و عوامل محیطی نیاز به حمایت بیشتری برای تسهیل پذیرش آنها درزنجیره‌تامین دارویی دارند
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Digital transformation by blockchain for successful implementation in the pharmaceutical supply

نویسندگان English

Soraya Birami 1
Seyed Ali Doorafshan 1
Alireza Payvar 1
Mahsa Pishdar 2
1 PhD student, Department of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran
2 Assistant Professor, Department of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran
چکیده English

Introduction
The pharmaceutical industry is inherently one of the most regulated sectors, as safety, integrity, and preservation throughout the distribution network are the main pillars for ensuring the effectiveness of medicines for the public. The pharmaceutical industry in Iran, like in other countries, holds significant strategic importance and is considered one of the strategic, knowledge-based industries with a high rate of innovation. With the increase in the number of entities or participants in the pharmaceutical supply chain, the complexity and abstraction of drug delivery from manufacturer to consumer have increased, leading to new concerns such as counterfeit drugs, misinformation, incomplete information, or lack of information about the drugs. As a result, this undermines customer trust and, more importantly, causes delays in distribution, which can have serious impacts on consumers' lives as well as business growth. Given all these challenges, there is a need for a robust pharmaceutical supply chain. Therefore, the main objective of this article is to study the success factors in implementing blockchain technology in Iran's pharmaceutical supply chain, which may be the first real attempt. The use of blockchain technology in supply chains has been tested in several industries and is a very promising technology due to its undeniable advantages such as traceability, security, privacy preservation, and transparency. Particularly in the pharmaceutical industry, this technology can help prevent drug counterfeiting, which is an increasing phenomenon. This is especially relevant for Iran's pharmaceutical industry, where the entry of international companies and domestic and foreign investments, despite advancements and increased competitiveness, exacerbate issues related to drug counterfeiting and theft. On the other hand, pharmaceutical companies in Iran must invest in infrastructure, update production equipment, and implement a comprehensive quality management system to succeed in the global arena and export medicines to other countries. Blockchain technology can facilitate this process. However, the correct implementation of this technology is essential, and identifying the success factors in its implementation is the first fundamental requirement. This study focuses on identifying and evaluating these success factors.
Methodology
After a systematic review of the literature and a text extraction approach, 57 interdisciplinary articles published between 2015 and 2025 were examined to identify the factors influencing the successful implementation of blockchain technology in the pharmaceutical supply chain. The result of this review led to the identification of 29 influential factors, which were categorized into 6 groups. These 29 success factors were formulated into a questionnaire and distributed among 10 supply chain managers in the pharmaceutical sector of Iran, specifically in procurement (supply), planning and production, distribution, and logistics, as experts in this industry. The criteria for selecting these individuals included their extensive experience (a minimum of 7 years), at least a bachelor's degree, managerial positions, and sufficient knowledge regarding blockchain technology.
After receiving responses from these individuals, in the second phase of the research, the Z-Based Full Adaptation Method (Z-FUCOM) was employed to determine the most critical success factors in implementing blockchain technology, which is a Multi-Criteria Decision-Making (MCDM) issue. This theory is utilized for fuzzy environments. Since the pharmaceutical industry, like other industries, operates in a highly uncertain environment, it seems logical to use an analysis method that is combined with fuzzy theories.
Results and Discussion
The overall results emphasized that in implementing blockchain technology in the pharmaceutical industry, the criterion "technology" was identified as the most significant factor with a weight of 0.4329. Following this, the criteria "organizational" and "customer service" ranked second and third, with weights of 0.1939 and 0.1081, respectively. These findings indicate that technical, organizational, and customer service factors play a crucial role in successfully implementing blockchain in the pharmaceutical supply chain. In contrast, other factors such as cost, development, and environmental factors require more support to facilitate their acceptance in the supply chain. The analysis of the sub-criteria also revealed that security (privacy protection) achieved the highest rank with a final weight of 0.1619. Support from top management ranked second with a weight of 0.0842, followed by reliability with a weight of 0.0714. These three sub-criteria account for over 30% of the total importance for successfully implementing blockchain technology in the pharmaceutical industry.
Conclusion
Successful implementation of blockchain technology requires collaborative efforts among stakeholders—pharmaceutical entities, regulatory bodies, technology innovators, and healthcare providers. By intensifying collaborative efforts and fostering innovation, the industry can pave the way for a future where patients worldwide receive reliable and safe pharmaceutical products. Other factors that can aid in the successful implementation of this technology include the deployment of systems that provide real-time and secure access to supply chain information, the establishment of clear and supportive regulations for the use of blockchain technology in the pharmaceutical industry, and the shared use of blockchain infrastructure among pharmaceutical organizations to reduce costs. Additionally, managers should promote a corporate culture that encourages department collaboration and process transparency.
 
 

کلیدواژه‌ها English

Pharmaceutical supply chain
Blockchain technology
Uncertainty
Z-Based full Adaptation method (Z-FUCOM)
1.      Abdallah, S., & Nizamuddin, N. (2023). Blockchain-based solution for pharma supply chain industry. Computers & Industrial Engineering, 177, 108997. https:doi.org.10.1016.j.cie.2023.108997
2.      Adalı, E. A., & Tuş, A. (2023). ARAS method based on Znumbers in FMEA. Quality and Reliability Engineering International, 39(7), 3059-3081. http:dx.doi.org.10.1002.qre.3416
3.      Ahmed, W.A.H. MacCarthy, B.L., & Treiblmaier, H. (2022). Why, where and how are organizations using blockchain in their supply chains? Motivations, application areas and contingency factors. International Journal of Operations & Production Management, 0144-3577. https:doi.org.10.1108.IJOPM-12-2021-0805
4.      Akram, W., Joshi, R., Haider, T., Sharma, P., Jain, V., Garud, N., & Narwaria, N. S. (2024). Blockchain technology: A potential tool for the management of pharma supply chain. Research in Social and Administrative Pharmacy. Res Social Adm Pharm, 20(6), 156-164. https: doi.org.10. 1016.j. sapharm.2024.02.014
5.      Alharthi, S., Cerotti, P. R., & Far, S. M. (2020). An exploration of the role of blockchain in the sustainability and effectiveness of the pharmaceutical supply chain. Journal of Supply Chain and Customer Relationship Management, 2020(2020), 1-29. http: dx.doi.org.10.5171.2020.562376
6.      Bakhtiari, G. (2022). Adoption of Blockchain Technology for Risk Management in Operations and Supply Chain Management in Knowledge-Based Companies. Master's Thesis, Islamic Azad University of Medical Sciences, Tehran, Faculty of New Sciences and Technologies. [In Persian]
7.      Bali, S., Bali, V., Mohanty, R. P., & Gaur, D. (2023). Analysis of critical success factors for blockchain technology implementation in healthcare sector. Benchmarking: An International Journal, 30(4), 1367-1399. http:dx.doi.org.10.1108.BIJ-07-2021-0433
8.      Bapatla, A. K., Mohanty, S. P., Kougianos, E., Puthal, D., & Bapatla, A. (2023). PharmaChain: A blockchain to ensure counterfeitfree pharmaceutical supply chain. IET Networks, 12(2), 53-76. http:dx.doi.org.10.1049.ntw2.12041
9.      Barry, J. (2014). Fake medicines: a global threat. Nursing Management (Harrow, London, England: 1994), 21(8), 17-17. https:doi.org.10.7748.nm.21.8.17.s22
10.   Bezovski, Z., Apasieva, T. J., & Temjanovski, R. (2021). The impact and the potential disruption of the blockchain technology on marketing. Journal of Economics, 6(1), 13-22. http:dx.doi.org.10.46763.JOE216.10013b
11.   Biswas, B., & Gupta, R. (2019). Analysis of barriers to implement blockchain in industry and service Sectors. Computers and Industrial Engineering, 136, 225-241. https:doi.org.10.1016.j.cie.2019.07.005
12.   Božanić, D., Tešić, D., & Milić, A. (2020). Multicriteria decision making model with Z-numbers based on FUCOM and MABAC model. Decision Making: Applications in Management and Engineering, 3(2), 19-36. http:dx.doi.org. 10.31181.dmame2003019d
13.   Chen, X., He, C., Chen, Y., & Xie, Z. (2023). Internet of Things (IoT)-Blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. Front Eng Manage, 10(1), 82–95. https:doi.org.10.1007.s42524-022-0233-1
14.   Chiacchio, F., D’Urso, D., Oliveri, L. M., Spitaleri, A., Spampinato, C., & Giordano, D. (2022). A non-fungible token solution for the track and trace of pharmaceutical supply chain. Applied Sciences, 12(8), 4019. https:doi.org.10.3390.app12084019
15.   Dash, S., Ghugar, U., Godavarthi, D., & Mohanty, S. N. (2024). HCSRL: hyperledger composer system for reducing logistics losses in the pharmaceutical product supply chain using a blockchain-based approach. Scientific Reports, 14(1), 13528. http:dx.doi.org.10.1038.s41598-024-61654-7
16.   Debnath, B., Shakur, M. S., Bari, A. M., Saha, J., Porna, W. A., Mishu, M. J., . & Rahman, M. A. (2023). Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: implications for supply chain sustainability in emerging economies. Plos one, 18(6), e0287149. https:doi.org.10.1371.journal.pone.0287149
17.   Elhidaoui, S., Benhida, K., El Fezazi, S., Kota, S., & Lamalem, A. (2022). Critical Success Factors of Blockchain adoption in Green Supply Chain Management: Contribution through an Interpretive Structural Model. Production & Manufacturing Research, 10(1), 1-23. https:doi.org.10.1080.21693277.2021 .1990155
18.   Faghfoori, A. (2022). Examining the Impact of Blockchain Technology on Supply Chain Financing: A System Dynamics Approach. Master's Thesis, University of Tabriz, Faculty of Economics and Management. [In Persian]
19.   Farhadkiaei, R. (2019). Examining the Use of Blockchain Technology in the Supply Chain of the Automotive Industry. Master's Thesis, Shahid Beheshti University, Faculty of Management and Accounting. [In Persian]
20.   Fernando, E. (2019, September). Success factor of implementation blockchain technology in pharmaceutical industry: a literature review. In 2019 6th international conference on information technology, computer and electrical engineering (ICITACEE), 1-5. IEEE. https:doi.org.10.1109.ICITACEE.2019.8904335
21.   Ghadge, A., Bourlakis, M., Kamble, S., & Seuring, S. (2023). Blockchain implementation in pharmaceutical supply chains: A review and conceptual framework. International Journal of Production Research, 61(19), 6633-6651. http:dx.doi.org.10.1080.00207543.2022.2125595
22.   Ghode, D., Yadav, V., Jain, R., & Soni, G. (2020). Adoption of blockchain in supply chain: an analysis of influencing factors. Journal of Enterprise Information Management, 33(3), 437-456. http:dx.doi.org.10.1108.JEIM-07-2019-0186
23.   Gogos, G., & Rochelle, L. (2022). Exploring supply chain blockchain potential in the pharmaceutical industry. In Proceedings of the International Conference on Industrial Engineering and Operations Management (1529-1540). https:doi.org.10.46254.AN12.20220292
24.   Grida, M. O., Abd Elrahman, S., & Eldrandaly, K. A. (2022). Critical Success Factors Evaluation for Blockchain’s Adoption and Implementing. Systems, 11(1), 2. https:doi.org.10.46254.AN12.20220292
25.   Gruchmann, T., Elgazzar, S., & Ali, A. H. (2023). Blockchain technology in pharmaceutical supply chains: a transaction cost perspective. Modern Supply Chain Research and Applications, 5(2), 115-133. https:doi.org.10.1108.MSCRA-10-2022-0023
26.   Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018). Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE access, 6, 11676-11686. https:doi.org.10.1109.ACCESS. 2018.2801266
27.   Haji, M., Kerbache, L., Sheriff, K.M.M., & Al-Ansari, T. (2021). Critical Success Factors and Traceability Technologies for Establishing a Safe Pharmaceutical Supply Chain. Methods Protoc, 4, 85. https:doi.org.10.3390.mps4040085
28.   Hastig, G. & Sodhi, M. (2019). Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors. Production and Operations Management, 29(4), 935-954. http:dx.doi.org.10.1111.poms.13147
29.   Havaeji, H., Dao, T. M., & Wong, T. (2023). Cost prediction in blockchain-enabled pharmaceutical supply chain under uncertain demand. Mathematics, 11(22), 4669. https:doi.org.10.3390.math11224669
30.   Jahangard, Z. (2021). Providing a Causal Model of Factors Affecting the Establishment of Infrastructure for Implementing Blockchain Technology in the Pharmaceutical Supply Chain Using Fuzzy DEMATEL Method. Master's Thesis, Ferdowsi University of Mashhad, Faculty of Administrative Sciences and Economics. [In Persian]
31.   Jaisimha, D., & Kumar, P. (2022). Deployment of smart contract based blockchain to optimise pharma supply chain. International Journal of Research in Engineering, Science and Management, 5(1), 67-73. https:www.ijresm.com.
32.   Javaheri, M. (2021). Using Blockchain for the Food Supply Chain. Master's Thesis, Noshirvani University of Technology, Babol, Faculty of Electrical and Computer Engineering. [In Persian]
33.   Kahraman, C., & Otay, I. (2018). Solar PV power plant location selection using a Z-fuzzy number based AHP. International Journal of the Analytic Hierarchy Process, 10(3). https:doi.org.10.13033.ijahp.v10i3.540
34.   Kang, B., Wei, D., Li, Y., & Deng, Y. (2012). A Method of Converting Z-number to Classical Fuzzy Number. Journal of Information & Computational Science, 9(3), 703- 709.
35.   Kiani Haftlang, Sh. (2020). Examining the Impacts of Blockchain Technology on the Performance of Green Supply Chain with Measuring the Moderating Role of Ecosystem-Centricity. Master's Thesis, Islamic Azad University of Medical Sciences, Tehran, Faculty of New Sciences and Technologies. University of Isfahan, Faculty of Administrative Sciences and Economics. [In Persian]
36.   Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89. http:dx.doi.org.10.1016.j.ijinfomgt.2017.12.005
37.   Lahjouji, M. O. H. A. M. E. D., El Alami, J. A. M. I. L. A., Hlyal, M. U. S. T. A. P. H. A., & Lahjouji, O. M. A. R. (2023). A systematic literature review: The power of the blockchain technology to improve pharmaceutical supply chain. Journal of Theoretical & Applied Information Technology, 101(2), 952-971.
38.   Li, Y., Rao, C., Goh, M., & Xiao, X. (2022). Novel multi-attribute decision-making method based on Z-number grey relational degree. Soft Computing, 26(24), 13333-13347. http:dx.doi.org.10.1007.s00500-022-07487-w
39.   Liu, S., Zhang, R., Liu, C., & Shi, D. (2023). P-PBFT: An improved blockchain algorithm to support large-scale pharmaceutical traceability. Computers in biology and medicine, 154, 106590. https:doi.org.10.1016.j.compbiomed. 2023.106590
40.   Mackey, T. K., & Nayyar, G. (2017). A review of existing and emerging digital technologies to combat the global trade in fake medicines. Expert opinion on drug safety, 16(5), 587-602. https:doi.org.10.1080.14740338.2017.1313227
41.   Malik, S., Chadhar, M., Vatanasakdakul, S., & Chetty, M. (2021). Factors affecting the organizational adoption of blockchain technology: Extending the technology–organization–environment (TOE) framework in the Australian context. Sustainability, 13(16), 9404. https:doi.org.10.3390.su13169404
42.   Mani, V., Prakash, M., & Lai, W. C. (2022). Cloud-based blockchain technology to identify counterfeits. Journal of Cloud Computing, 11(1), 67. http:dx.doi.org.10.1186.s13677-022-00341-2
43.   Mohammad Ismaeil, S., & Fattahzadeh, H. (2022). Identify Effective Indicators in the Use of Blockchain Technology in the Drug Supply Chain (Using the Meta Synthesis Method for the Years 2010-2022). Journal of healthcare management (journal of health system), 12(4 (SERIAL 42)), 81-105. [In Persian]
44.   Molashahe Hassan Khan, Sh (2022). The Impact of Blockchain Technology on Improving Reverse Logistics Processes in Supply Chain Management. University of Sistan and Baluchestan, Master's Thesis, Shahid Nikbakht Faculty of Engineering. [In Persian]
45.   Monadi Sefidan, A., Talebi, D., Alam tabriz, A., & Farsijani, H. (2018). Designing a Model for Examining the Impact of Supply Chain Integrity on Supply Chain Performance with Mediating Competitiveness in Pharmaceutical Companies. Productivity management (beyond management), 12(46), 157-177. https:dorl.net.dor.20.1001.1.27169979.1397 .12.3.6.4 [In Persian]
46.   Mousavi, P., Yousefi Zanouz, R., & Hassanzadeh, A. (2015). Identifying Organizational Information Security Risks Using Fuzzy Delphi Method in the Banking Industry. Journal of Information Technology Management, 22, 163-184.
47.   Muthuraj, S., Babu, S., & Kumar, S. (2022). Identify the Key Success Factors and Enabling Strategies for Successful Blockchain Implementation in Supply Chain. Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, Istanbul, Turkey, 7-10. https:doi.org.10.46254.AN12.20221034
48.   Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129. http:dx.doi.org.10.31181.oresta190120101108p
49.   Rana, N. P., Dwivedi, Y. K., & Hughes, D. L. (2022). Analysis of challenges for blockchain adoption within the Indian public sector: an interpretive structural modelling approach. Information Technology & People, 35(2), 548-576. http:dx.doi.org.10.1108.ITP-07-2020-0460
50.   Silva, R. B. D., & Mattos, C. A. D. (2019). Critical success factors of a drug traceability system for creating value in a pharmaceutical supply chain (PSC). International journal of environmental research and public health, 16(11), 1972. https:doi.org.10.3390.ijerph16111972
51.   Sohraabi Nejad, S (2022). The Impact of Blockchain Technology on the Food Supply Chain and Its Sustainable Performance. Master's Thesis, Ghiathuddin Jamshid Kashani University, Faculty of Electrical and Computer Engineering. [In Persian]
52.   Soleimani, K. (2020). Examining the Managerial and Structural Impacts of Blockchain Technology on Improving the Supply Chain of Pharmaceutical Companies. Master's Thesis, Allameh Tabatabai University, Faculty of Management and Accounting. [In Persian]
53.   SorayaNezhad Chamrani, M. (2020). Examining the Impact of Blockchain Technology on Supply Chain Resilience: A System Dynamics Approach. Master's thesis, University of Tabriz, Faculty of Economics and Management.
54.   Tan, Y., Chen, Z., Wang, B., Ma, Q., & Wei, J. (2024). A Z-number and MABAC method based on reliability analysis and evaluation of product design concept. Maintenance & Reliability.Eksploatacja i Niezawodność, 26(1). http:doi. org.10.17531.ein.178304
55.   Thakuriya, P., Kaur, S., & Mishra, V. (2023, April). Assessment of Blockchain Technology as Remedy to Counterfeit Drugs Problem in Pharmaceutical Supply Chain and Implementation Approach. In Operations Research Forum, 4(2), p. 39. Cham: Springer International Publishing. https:doi.org.10.1007.s43069-023-00221-8
56.   Thomas, D. J., & Griffin, P. M. (1996). Coordinated supply chain management. European journal of operational research, 94(1), 1-15. https:doi.org.10.1016.0377-2217(96)00098-7
57.   Toyoda, K., Mathiopoulos, P. T., Sasase, I., & Ohtsuki, T. (2017). A novel blockchain-based product ownership management system (POMS) for anti-counterfeits in the post supply chain. IEEE access, 5, 17465-17477. http:dx.doi.org.10.1109.ACCESS.2017.2720760
58.   Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidenceinformed management knowledge by means of systematic review. British journal of management, 14(3), 207-222. https:doi.org. 10.1111.1467-8551.00375
59.   Trautmann, L., Hübner, T., & Lasch, R. (2024). Blockchain concept to combat drug counterfeiting by increasing supply chain visibility. International Journal of Logistics Research and Applications, 27(6), 959-985. https:doi.org.10.1080 .13675567.2022.2141214
60.   Tüysüz, N., & Kahraman, C. (2023). A novel Z-fuzzy AHP&EDAS methodology and its application to wind turbine selection. Informatica, 34(4), 847-880. http:dx.doi.org.10.15388.23-INFOR515
61.   Wamba, S.F. and Queiroz, M.M. (2020). Blockchain in the operations and supply chain management: benefits, challenges and future research opportunities. International Journal of Information Management, 52, https:doi.org.10.1016 .j.ijinfomgt.2019.102064
62.   World Health Organization. (2022). Substandard and falsified medical products. Available [online]: https: www.who.int .health-topics.substandard-and-falsified-medical products#tab=tab_1, Accessed 25.
63.   Xia, J., Li, H., & He, Z. (2023). The effect of blockchain technology on supply chain collaboration: A case study of lenovo. Systems, 11(6), 299. https:doi.org.10.3390.systems11060299
64.   Yadav, S., & Singh, S. P. (2020). Blockchain critical success factors for sustainable supply chain. Resources, Conservation and Recycling, 152, 104505. https:doi.org.10.1016.j.resconrec.2019.104505
65.   Yousefi, S., Valipour, M., & Gul, M. (2021). Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method. Applied Soft Computing, 113, 107902. https:doi.org.10.1016.j.asoc.2021 .107902
66.   Zafaranlouei, N., Ghoushchi, S. J., & Haseli, G. (2023). Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers. Environmental Science and Pollution Research, 30(22), 62121-62136. https:doi.org.10.1007.s11356-023-26380-z
67.   Zakari, N., Al-Razgan, M., Alsaadi, A., Alshareef, H., Alashaikh, L., Alharbi, M., . & Alotaibi, S. (2022). Blockchain technology in the pharmaceutical industry: a systematic review. PeerJ Computer Science, 8, e840. https:doi.org.10.7717.peerj-cs.840
68.   Zhou, L., Chong, A. Y., & Ngai, E. W. (2015). Supply chain management in the era of the internet of things. International Journal of Production Economics, 159, 1-3. http:dx.doi.org.10.1016.j.ijpe.2014.11.014
69.   Zoughalian, K., Marchang, J., & Ghita, B. (2022). A blockchain secured pharmaceutical distribution system to fight counterfeiting. International Journal of Environmental Research and Public Health, 19(7), 4091. https:doi.org .10.3390.ijerph19074091
 

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