Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

A novel blockchain-based Sustainable Supply Chain model in the Pharmaceutical Industry

Document Type : Research Paper

Authors
Raheleh Mirfallahdemochali 1
Azita sherej sharifi 2
Mansour Soufi 3
1 Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2 Department of Accounting, Nowshahr branch, Islamic Azad University, Nowshahr ,Iran
3 Department of Industrial Management,Rasht Branch, Islamic Azad University, Rasht, Iran
Abstract
The ever-increasing changes in the business world and the new requirements of production and trade in the present era have provided the basis for the emergence of new attitudes. The supply chain in the current environment is complex and diverse. Based on the change in the market environment, the demand for the supply chain has also created a lot of uncertainty. Also, with transformative technologies in the new era, managing supply chain uncertainties has taken on a new face. One of these technologies is blockchain technology. The importance of drug safety, always one of the biggest concerns, cannot be overstated as it directly affects the public health of society. It is a shared responsibility of all stakeholders in the pharmaceutical industry to establish a reliable and traceable pharmaceutical system. For this reason, in this research, an effort has been made to provide a model for sustainable supply chains in a state of uncertainty, emphasizing blockchain technology as a tool to fulfill this responsibility, fostering a sense of collective duty and commitment in the audience.
Keywords
sustainable supply chain
smart supply chain
blockchain-based supply chain
pharmaceutical industry
Subjects
Aliahmadi, A., Ghahremani-Nahr, J., & Nozari, H. (2023). Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers. Expert Systems with Applications, 212, 118741.
Aliahmadi, A., Jafari-Eskandari, M., Mozafari, M., & Nozari, H. (2013). Comparing artificial neural networks and regression methods for predicting crude oil exports. International Journal of Information, Business and Management, 5(2), 40-58.
Aliahmadi, A., Nozari, H., Ghahremani-Nahr, J., & Szmelter-Jarosz, A. (2022). Evaluation of key impression of resilient supply chain based on artificial intelligence of things (AIoT). arXiv preprint arXiv:2207.13174.
Aliahmadi, A., Sadeghi, M. E., Nozari, H., Jafari-Eskandari, M., & Najafi, S. E. (2015). Studying key factors to creating competitive advantage in science Park. In Proceedings of the ninth international conference on management science and engineering management (pp. 977-987). Springer Berlin Heidelberg.
Dehshiri, S. J. H., & Amiri, M. (2024). Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers. Expert Systems with Applications, 235, 121123.
Ghahremani-Nahr, J., Aliahmadi, A., & Nozari, H. (2022). An IoT-based sustainable supply chain framework and blockchain. International Journal of Innovation in Engineering, 2(1), 12-21.
Gharachorloo, N., Nahr, J. G., & Nozari, H. (2021). SWOT analysis in the General Organization of Labor, Cooperation and Social Welfare of East Azerbaijan Province with a scientific and technological approach. International Journal of Innovation in Engineering, 1(4), 47-61.
Hu, L., Zhou, J., Zhang, J. Z., & Behl, A. (2024). Blockchain technology adaptation and organizational inertia: moderating role between knowledge management processes and supply chain resilience. Kybernetes, 53(2), 515-542.
Korpela, K., Hallikas, J., & Dahlberg, T. (2017). Digital supply chain transformation toward blockchain integration.
Nozari, H. (2024). Supply Chain 6.0 and Moving Towards Hyper-Intelligent Processes. In Information Logistics for Organizational Empowerment and Effective Supply Chain Management (pp. 1-13). IGI Global.
Nozari, H., Sadeghi, M. E., Eskandari, J., & Ghorbani, E. (2012). Using integrated fuzzy AHP and fuzzy TOPSIS methods to explore the impact of knowledge management tools in staff empowerment (Case study in knowledge-based companies located on science and technology parks in Iran). International journal of information, business and management, 4(2), 75-92.
Quayson, M., Avornu, E. K., & Bediako, A. K. (2024). Modeling the enablers of blockchain technology implementation for information management in healthcare supply chains. Modern Supply Chain Research and Applications.
Surucu-Balci, E., Iris, Ç., & Balci, G. (2024). Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities. Technological Forecasting and Social Change, 198, 122978.

  • Receive Date 19 August 2023
  • Revise Date 05 October 2023
  • Accept Date 27 December 2023