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System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran

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  • Mohammad Hamzehlou

Abstract

Unpredictable changes in the current business environment have made organizations pay attention to the concept of agility. This concept is a key feature to survive and compete in turbulent markets while considering customers’ fluctuating needs. An organization’s agility is a function of its supply chain’s agility. The present study offers a System Dynamics (SD) model for Iran’s Pharmaceutical Supply Chain (PSC). The model is presented in three steps. First, the Supply Chain (SC) indicators were extracted based on theoretical foundations and literature review results. Second, an SD model of the PSC was extracted in the context of the COVID‑19 pandemic with the necessary analyses. Finally, the desired outputs and strategies were obtained by conducting a case study. The results indicated that the PSC’s highest agility could be guaranteed by the simultaneous implementation of three strategies: investment, Human Capital Development (HCD), and accelerated completion of ongoing projects on a priority basis. According to these results, the organization had better determine the amount of capital and workforce required for ongoing projects, then design funding solutions to implement these projects and implement them according to the projects’ priority.

Suggested Citation

  • Mohammad Hamzehlou, 2024. "System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-31, January.
  • Handle: RePEc:plo:pone00:0290789
    DOI: 10.1371/journal.pone.0290789
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    1. Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Song, Shuang & Goh, Jenson C.L. & Tan, Hugh T.W., 2021. "Is food security an illusion for cities? A system dynamics approach to assess disturbance in the urban food supply chain during pandemics," Agricultural Systems, Elsevier, vol. 189(C).
    3. Emily L. Tucker & Mark S. Daskin & Burgunda V. Sweet & Wallace J. Hopp, 2020. "Incentivizing resilient supply chain design to prevent drug shortages: policy analysis using two- and multi-stage stochastic programs," IISE Transactions, Taylor & Francis Journals, vol. 52(4), pages 394-412, April.
    4. Nidhee Jadeja & Nina J Zhu & Reda M Lebcir & Franco Sassi & Alison Holmes & Raheelah Ahmad, 2022. "Using system dynamics modelling to assess the economic efficiency of innovations in the public sector - a systematic review," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-20, February.
    5. Sonia Irshad Mari & Muhammad Saad Memon & Muhammad Babar Ramzan & Sheheryar Mohsin Qureshi & Muhammad Waqas Iqbal, 2019. "Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain," Mathematics, MDPI, vol. 7(2), pages 1-16, February.
    6. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    7. Babai, M. Zied & Ivanov, Dmitry & Kwon, Oh Kang, 2023. "Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique," Omega, Elsevier, vol. 116(C).
    8. Deepak Varshney & Devesh Roy & J. V. Meenakshi, 2023. "Impact of COVID-19 on Agricultural Markets: Assessing the Roles of Commodity Characteristics, Disease Caseload, and Market Reforms," India Studies in Business and Economics, in: Indrani Gupta & Mausumi Das (ed.), Contextualizing the COVID Pandemic in India, chapter 0, pages 249-271, Springer.
    9. Lu Chen & Ayad Hendalianpour & Mohammad Reza Feylizadeh & Haiyan Xu, 2023. "Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 32(2), pages 359-394, April.
    10. Sardesai, Saskia & Klingebiel, Katja, 2023. "Maintaining viability by rapid supply chain adaptation using a process capability index," Omega, Elsevier, vol. 115(C).
    11. Shiva Zandkarimkhani & Hassan Mina & Mehdi Biuki & Kannan Govindan, 2020. "A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design," Annals of Operations Research, Springer, vol. 295(1), pages 425-452, December.
    12. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    13. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    14. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    15. Dawn Thilmany & Elizabeth Canales & Sarah A. Low & Kathryn Boys, 2021. "Local Food Supply Chain Dynamics and Resilience during COVID‐19," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 86-104, March.
    16. Thomas Moellers & Lars von der Burg & Bastian Bansemir & Max Pretzl & Oliver Gassmann, 2019. "System dynamics for corporate business model innovation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 387-406, September.
    17. ShakorShahabi, Reza & Qarahasanlou, Ali Nouri & Azimi, Seyed Reza & Mottahedi, Adel, 2021. "Application of data mining in Iran's Artisanal and Small-Scale mines challenges analysis," Resources Policy, Elsevier, vol. 74(C).
    18. Yu Han & Woon Kian Chong & Dong Li, 2020. "A systematic literature review of the capabilities and performance metrics of supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4541-4566, July.
    19. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    20. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
    21. Morteza Lalmazloumian & Kuan Yew Wong & Kannan Govindan & Devika Kannan, 2016. "A robust optimization model for agile and build-to-order supply chain planning under uncertainties," Annals of Operations Research, Springer, vol. 240(2), pages 435-470, May.
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