International Journal of Knowledge Processing Studies
Online ISSN: 2783-4611

Smart Model of Green Supply Chain for Pharmaceutical Products with Overlapping Common Customers

Document Type : Original Research Manuscripts

Authors

Manya Sadat Hashemian 1
Javad Rezaian 2
Amir Gholam Abri 3

1 Ph.D. student of Industrial Management, Islamic Azad University, Firuzkoh branch, Firoozkooh, Iran.

2 Associate Professor of Industrial Engineering, Mazandaran University of Science and Technology, Mazandaran, Iran.

3 Associate Professor, Department of Mathematics, Firuzkoh Branch, Islamic Azad University, Firoozkooh, Iran.

https://doi.org/10.22034/kps.2023.408777.1151
Abstract
The aim of the current research was to provide an intelligent model of the green supply chain of pharmaceutical products with the overlap of common customers. This research applies simulation to the proposed model of a pharmaceutical supply chain with smart and green conditions. The society under investigation is the environment of pharmaceutical companies, with its specific assumptions and goals. This model is simulated in the GMAS software environment. The problem was examined from two perspectives: simultaneous production (coordination of drugs) and cooperative planning (coordination of suppliers). Additionally, in order to address the issue of vehicle routing under real conditions of limited capacity for delivery vehicles, the expiration date of the drug and time windows in orders were taken into consideration. The objective was to allocate orders to vehicles in a way that minimizes the total delivery time and reduces the amount of carbon dioxide produced. Based on the obtained results, this multi-objective model aims to improve the performance of the pharmaceutical distribution network by addressing three main complexities: economic, environmental, and social. This approach provides a comprehensive and balanced solution for designing the drug distribution network. Its goal is to preserve the environment, improve social conditions, and maximize economic profit.

Keywords

intelligent model
mathematical programming
green supply chain
customer overlap
Subjects
Ahmad Amouei, M., Valmohammadi, C. & Fathi, K. (2023). Proposing a conceptual model of the sustainable digital supply chain in manufacturing companies: a qualitative approach, Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-08-2022-0269
Ahmadi, A., Mousazadeh, M., Torabi, S. A., & Pishvaee, M. S. (2018). Or applications in pharmaceutical supply chain management. Operations research applications in health care management, 461-491.
Ali, I., & Kannan, D. (2022). Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review. Annals of Operations Research, 315(1), 29-55. https://doi.org/10.1007/s10479-022-04596-5
Asamoah, D., Annan, J., & Nyarko, S. (2012). AHP approach for supplier evaluation and selection in a pharmaceutical manufacturing firm in Ghana. International Journal of Business and Management, 7 (10), 49-62.
Azevedo, S. G., Pimentel, C. M., Alves, A. C., & Matias, J. C. (2021). Support of advanced technologies in supply chain processes and sustainability impact. Applied Sciences, 11(7), 3026.
 Cammarano, A., Varriale, V., Michelino, F., & Caputo, M. (2023). A Framework for Investigating the Adoption of Key Technologies: Presentation of the Methodology and Explorative Analysis of Emerging Practices. IEEE Transactions on Engineering Management.
D’Angelo, V., & Belvedere, V. (2023). Green Supply Chains and Digital Supply Chains: Identifying Overlapping Areas. Sustainability, 15(12), 9828. doi.org/10.3390/su15129828
De Giovanni, P., Belvedere, V., & Grando, A. (2022). The selection of industry 4.0 technologies through Bayesian networks: an operational perspective. IEEE Transactions on Engineering Management.
Fu, H. P., Chang, T. S., Yeh, H. P., & Chen, Y. X. (2019). Analysis of factors influencing hospitals’ implementation of a green e-procurement system using a cloud model. International journal of environmental research and public health, 16(24), 5137.
Gong, Y., Wang, Y., Frei, R., Wang, B., & Zhao, C. (2022). Blockchain application in circular marine plastic debris management. Industrial Marketing Management, 102, 164-176.
     doi: 10.1016/j.indmarman.2022.01.010.
Hohn, M. M., & Durach, C. F. (2021). Additive manufacturing in the apparel supply chain—impact on supply chain governance and social sustainability. International Journal of Operations & Production Management, 41(7), 1035-1059. doi: 10.1108/IJOPM-09-2020-0654.
Holmström, J., Holweg, M., Lawson, B., Pil, F. K., & Wagner, S. M. (2019). The digitalization of operations and supply chain management: Theoretical and methodological implications. Journal of Operations Management, 65(8), 728-734. doi: 10.1002/joom.1073.
Kumar, P., Sharma, D., & Pandey, P. (2023). Coordination mechanisms for digital and sustainable textile supply chain. International Journal of Productivity and Performance Management, 72(6), 1533-1559. https://doi.org/10.1108/IJPPM-11-2020-0615
Mak, H. Y., & Max Shen, Z. J. (2021). When triple‐A supply chains meet digitalization: The case of JD. com's C2M model. Production and Operations Management, 30(3), 656-665. doi: 10.1111/poms.13307.
Merminod, V., Le Dain, M. A., & Frank, A. G. (2022). Managing glitches in collaborative product development with suppliers. Supply Chain Management: An International Journal, 27(3), 348-368. doi: 10.1108/SCM-01-2020-0042.
Meijboom, B., & Obel, B. (2007). Tactical coordination in a multi-location and multi-stage operations structure: A model and a pharmaceutical company case. Omega, 35(3), 258-273.
 Nayal, K., Raut, R. D., Yadav, V. S., Priyadarshinee, P., & Narkhede, B. E. (2022). The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era. Business Strategy and the Environment, 31(3), 845-859.
Oguntegbe, K. F., Di Paola, N., & Vona, R. (2023). Communicating responsible management and the role of blockchain technology: social media analytics for the luxury fashion supply chain. The TQM Journal, 35(2), 446-469. https://doi.org/10.1108/TQM-10-2021-0296
Pasi, B. N., Mahajan, S. K., & Rane, S. B. (2020). Smart supply chain management: a perspective of industry 4.0. Supply Chain Management, 29(5), 3016-3030.
Shah, N. (2004). Pharmaceutical supply chains: key issues and strategies for optimisation. Computers & chemical engineering, 28(6-7), 929-941.
Shao, X. F., Liu, W., Li, Y., Chaudhry, H. R., & Yue, X. G. (2021). Multistage implementation framework for smart supply chain management under industry 4.0. Technological Forecasting and Social Change, 162, 120354. doi: 10.1016/j.techfore.2020.120354.
Siegel, R., Antony, J., Govindan, K., Garza-Reyes, J. A., Lameijer, B., & Samadhiya, A. (2022). A framework for the systematic implementation of Green-Lean and sustainability in SMEs. Production Planning & Control, 1-19.
Sislian, L., & Jaegler, A. (2022). Linkage of blockchain to enterprise resource planning systems for improving sustainable performance. Business Strategy and the Environment, 31(3), 737-750.
Su, Y., Yu, Y., & Zhang, N. (2020). Carbon emissions and environmental management based on Big Data and Streaming Data: A bibliometric analysis. Science of The Total Environment, 733, 138984.
 Sun, X., Yu, H., Solvang, W. D., Wang, Y., & Wang, K. (2021). The application of Industry 4.0 technologies in sustainable logistics: A systematic literature review (2012–2020) to explore future research opportunities. Environmental Science and Pollution Research, 1-32.
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2021). Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management. Sustainability, 13(11), 6372.
 Vishwakarma, V., Prakash, C., & Barua, M. K. (2016). A fuzzy-based multi criteria decision making approach for supply chain risk assessment in Indian pharmaceutical industry. International Journal of Logistics Systems and Management, 25(2), 245-265.
Wu, Z., & Pagell, M. (2011). Balancing priorities: Decision-making in sustainable supply chain management. Journal of operations management, 29(6), 577-590. doi: 10.1016/j.jom.2010.10.001.
Yu, X., Li, C., Shi, Y., & Yu, M. (2010). Pharmaceutical supply chain in China: current issues and implications for health system reform. Health policy, 97(1), 8-15.
Zandieh, M., Janatyan, N., Alem-Tabriz, A., & Rabieh, M. (2018). Designing sustainable distribution network in pharmaceutical supply chain: A case study. International journal of supply and operations management, 5(2), 122-133. doi: 10.22034/2018.2.2
Zhu, Q., Sarkis, J., & Lai, K. H. (2008). Confirmation of a measurement model for green supply chain management practices implementation. International journal of production economics, 111(2), 261-273. doi: 10.1016/j.ijpe.2006.11.029.
International Journal of Knowledge Processing Studies
Volume 4, Issue 3
Summer 2024
Pages 168-180

  • Receive Date 26 July 2023
  • Revise Date 10 August 2023
  • Accept Date 19 October 2023

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