Modelling the Supply Chain to Destruct Expired Medicines at the Time of Occurring Natural Disasters

Authors

  • Soheil Javaheri Fazel M.Sc. Student, Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
  • Hamidreza Feili Assistant Professor, Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

DOI:

https://doi.org/10.63053/ijhes.7

Abstract

The supply chain of relief items plays a key role in decreasing damages at the time of occurring crises and natural disasters. It is highly significant to pay attention to the expiration dates of medicines and it is possible to perform proper planning in order to help the injured people considering the time left until the expiration date. In this study, we study the supply chain modeling by considering the decisions related to activating the required facilities and the amount of medicines stocked in them before the crisis, and the decisions related to distributing medicines after the crisis. The under-consideration supply chain provides the required medicines and destroyers expired ones at the time of a crisis. It is required to consider suitable locations for medicine storehouses before occurring a crisis so that it is possible to distribute medicines to hospitals with proper efficiency in terms of considered objectives. These medicines should be stored in suitable quantities in warehouses and expired medicines are required to be transferred at a suitable time in order to minimize the shortage of medicines in the event of a crisis, and also to send medicines to hospitals in the affected regions at the accurate time.

References

Chen, L.M., Liu, Y.E. and Yang, S.J.S. (2015). Robust supply chain strategies for recovering from unanticipated disasters. Transportation Research Part E: Logistics and Transportation Review, 77, pp. 198-214.

Feili, H.R. (2013). Improving the Health Care Systems Performance by Simulation Optimization. Journal of Mathematics and Computer Science, 7, pp. 73-79.

Feili, H.R. and Hassanzadeh Khoshdooni, M. (2011). A Fuzzy Optimization Model for Supply Chain Production Planning with Total Aspect of Decision Making. Journal of Mathematics and Computer Science, 2(1), pp. 65-80.

Feili, H.R., Momeni tabar, M. and Akar, N. (2012). Fuzzy Mathematical Modeling of Distribution Network, Allocation Model Positioning in Three-Level Supply Chain Design. International Conference on Nonlinear Modeling & Optimization, Amol, Iran.

Habibi-Kouchaksaraei, M., Paydar, M.M. and Asadi-Gangraj, E. (2018). Designing a bi-objective multi-echelon robust blood supply chain in a disaster. Applied Mathematical Modelling, 55, pp. 583-599.

Noham, R. and Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265 (3), pp. 1064-1077.

Samani, M.R.G., Torabi, S.A. and Hosseini-Motlagh, S.-M. (2018). Integrated blood supply chain planning for disaster relief. International Journal of Disaster Risk Reduction, 27, pp. 168-188.

Sheu, J.-B. (2016). Supplier hoarding, government intervention, and timing for post-disaster crop supply chain recovery. Transportation Research Part E: Logistics and Transportation Review, 90, pp. 134-160.

Silva, M.E., Pereira, S.C.F. and Gold, S. (2018). The response of the Brazilian cashew nut supply chain to natural disasters: A practice-based view. Journal of Cleaner Production, 204, pp. 660-671.

Syahrir, I. and Suparno, Vanany, I. (2015). Healthcare and Disaster Supply Chain: Literature Review and Future Research. Procedia Manufacturing, 4, pp. 2-9.

Tavana, M., Abtahi, A.-R., Di Caprio, D., Hashemi, R. and Yousefi-Zenouz, R. (2018). An integrated location-inventory-routing humanitarian supply chain network with pre-and post-disaster management considerations. Socio-Economic Planning Sciences, 64, pp. 21-37

Published

2023-01-01

How to Cite

Javaheri Fazel, S., & Feili, H. (2023). Modelling the Supply Chain to Destruct Expired Medicines at the Time of Occurring Natural Disasters. International Journal of New Findings in Health and Educational Sciences (IJHES), 1(1), 26–33. https://doi.org/10.63053/ijhes.7

Issue

Section

Articles