OPTIMAL DESIGN OF PHAREMACEUTICALS SUPPLY CHAIN
DOI:
https://doi.org/10.4314/jfas.v12i1.8Keywords:
Supply chain; optimization; medicines; pharmaceutical network; distributionAbstract
It is very known that the availability of drugs is the major problem faced by patients. Therefore, this article deals with the optimization of a pharmaceutical supply chain, i.e. we need to reorganize the entire current pharmaceutical network with a main objective of no patient suffers as long as the medicine exists somewhere. Achieving this requires a strategic organization of the geographic network in order to gain a better distribution.
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References
[1] Ahmadi, A., Mousazadeh, M., Torabi, S. A. & Pishvaee, M. S., 2018. OR Applications in Pharmaceutical Supply Chain Management. In: Operations Research Applications in Health Care Management. s.l.:Springer, pp. 461-491.
[2] Barreto, S., Ferreira, C., Paixao, J. & Santos, B. S., 2007. Using clustering analysis in a capacitated location-routing problem. European Journal of Operational Research, Volume 179, pp. 968-977.
[3] Boudahri, F., Aggoune-Mtalaa, W., Bennekrouf, M. & Sari, Z., 2013. Application of a clustering based location-routing model to a real agri-food supply chain redesign. In: Advanced methods for computational collective intelligence. s.l.:Springer, pp. 323-331.
[4] Boulghorba,S. Ait Ahmed,L, (2011). Les déficiences mettent en péril le système de santé publique (https://www.djazairess.com/fr/elwatan/306979 ed.). EL WATAN
[5] Chaves, A. A. & Lorena, L. A. N., 2010. Clustering search algorithm for the capacitated centered clustering problem. Computers & Operations Research, Volume 37, pp. 552-558.
[6] Dasci, A. & Verter, V., 2001. A continuous model for production--distribution system design. European Journal of Operational Research, Volume 129, pp. 287-298.
[7] Gatica, G., Papageorgiou, L. G. & Shah, N., 2003. Capacity planning under uncertainty for the pharmaceutical industry. Chemical Engineering Research and Design, Volume 81, pp. 665-678.
[8] Ghane, M. & Tavakkoli-Moghaddam, R., 2018. A stochastic optimization approach to a location-allocation problem of organ transplant centers. Journal of Optimization in Industrial Engineering, Volume 11, pp. 103-111.
[9] Kumar, B. K. et al., 2018. Coordinated Two-Echelon Inventory Model for Optimal Inventory and Shipment Decisions under Exponential Price Dependent Demand. Materials Today: Proceedings, Volume 5, pp. 12356-12367.
[10] Mehralian, G., Moosivand, A., Emadi, S. & Asgharian, R., 2017. Developing a coordination framework for pharmaceutical supply chain: using analytical hierarchy process. International Journal of Logistics Systems and Management, Volume 26, pp. 277-293.
[11] Mousazadeh, M., Torabi, S. A., & Zahiri, B. (2015). A robust possibilistic programming approach for pharmaceutical supply chain network design. Computers & Chemical Engineering, 82, 115-128.
[12] Nagaraju, D., Narayanan, S., Manupati, V. K. & Rao, A. R., 2018. Integrated Three-Level Supply Chain Model for Optimality of Inventory and Shipment Decisions under Cubic Price Dependent Demand. Materials Today: Proceedings, Volume 5, pp. 13521-13534.
[13] Nematollahi, M., Hosseini-Motlagh, S.-M. & Heydari, J., 2017. Economic and social collaborative decision-making on visit interval and service level in a two-echelon pharmaceutical supply chain. Journal of cleaner production, Volume 142, pp. 3956-3969.
[14] Papageorgiou, L. G., 2009. Supply chain optimisation for the process industries: Advances and opportunities. Computers & Chemical Engineering, Volume 33, pp. 1931-1938.
[15] Root, S. & Sir, M. Y., 2017. Supply chain design considering correlated failures and inspection in pharmaceutical and food supply chains. Computers & Industrial Engineering, Volume 111, pp. 123-138.
[16] Prajapati, H., Kant, R. & Gorane, S., 2018. Impact study of supply chain practices on organisational performance for Indian chemical industries. International Journal of Logistics Systems and Management, Volume 31, pp. 20-38.
[17]Rodrigues, A. P. (2018). "Third-party logistics continuous improvement through integratedfleet management: the case of a transport company." . International Journal of Logistics Systems and Management.
[18]Sazvar, Z., Mirzapour Al-e-Hashem, S. M. J., Baboli, A., & Jokar, M. A. (2014). A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products. International Journal of Production Economics, 150, 140-154.
[19] Settanni, E., Harrington, T. S. & Srai, J. S., 2017. Pharmaceutical supply chain models: A synthesis from a systems view of operations research. Operations Research Perspectives, Volume 4, pp. 74-95.
[20] Sousa, R. T., Shah, N. & Papageorgiou, L. G., 2005. Global supply chain network optimisation for pharmaceuticals. Computer Aided Chemical Engineering, Volume 20, pp. 1189-1194.
[21] Torabi, S. A. & Hassini, E., 2008. An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy sets and systems, Volume 159, pp. 193-214.
[2] Barreto, S., Ferreira, C., Paixao, J. & Santos, B. S., 2007. Using clustering analysis in a capacitated location-routing problem. European Journal of Operational Research, Volume 179, pp. 968-977.
[3] Boudahri, F., Aggoune-Mtalaa, W., Bennekrouf, M. & Sari, Z., 2013. Application of a clustering based location-routing model to a real agri-food supply chain redesign. In: Advanced methods for computational collective intelligence. s.l.:Springer, pp. 323-331.
[4] Boulghorba,S. Ait Ahmed,L, (2011). Les déficiences mettent en péril le système de santé publique (https://www.djazairess.com/fr/elwatan/306979 ed.). EL WATAN
[5] Chaves, A. A. & Lorena, L. A. N., 2010. Clustering search algorithm for the capacitated centered clustering problem. Computers & Operations Research, Volume 37, pp. 552-558.
[6] Dasci, A. & Verter, V., 2001. A continuous model for production--distribution system design. European Journal of Operational Research, Volume 129, pp. 287-298.
[7] Gatica, G., Papageorgiou, L. G. & Shah, N., 2003. Capacity planning under uncertainty for the pharmaceutical industry. Chemical Engineering Research and Design, Volume 81, pp. 665-678.
[8] Ghane, M. & Tavakkoli-Moghaddam, R., 2018. A stochastic optimization approach to a location-allocation problem of organ transplant centers. Journal of Optimization in Industrial Engineering, Volume 11, pp. 103-111.
[9] Kumar, B. K. et al., 2018. Coordinated Two-Echelon Inventory Model for Optimal Inventory and Shipment Decisions under Exponential Price Dependent Demand. Materials Today: Proceedings, Volume 5, pp. 12356-12367.
[10] Mehralian, G., Moosivand, A., Emadi, S. & Asgharian, R., 2017. Developing a coordination framework for pharmaceutical supply chain: using analytical hierarchy process. International Journal of Logistics Systems and Management, Volume 26, pp. 277-293.
[11] Mousazadeh, M., Torabi, S. A., & Zahiri, B. (2015). A robust possibilistic programming approach for pharmaceutical supply chain network design. Computers & Chemical Engineering, 82, 115-128.
[12] Nagaraju, D., Narayanan, S., Manupati, V. K. & Rao, A. R., 2018. Integrated Three-Level Supply Chain Model for Optimality of Inventory and Shipment Decisions under Cubic Price Dependent Demand. Materials Today: Proceedings, Volume 5, pp. 13521-13534.
[13] Nematollahi, M., Hosseini-Motlagh, S.-M. & Heydari, J., 2017. Economic and social collaborative decision-making on visit interval and service level in a two-echelon pharmaceutical supply chain. Journal of cleaner production, Volume 142, pp. 3956-3969.
[14] Papageorgiou, L. G., 2009. Supply chain optimisation for the process industries: Advances and opportunities. Computers & Chemical Engineering, Volume 33, pp. 1931-1938.
[15] Root, S. & Sir, M. Y., 2017. Supply chain design considering correlated failures and inspection in pharmaceutical and food supply chains. Computers & Industrial Engineering, Volume 111, pp. 123-138.
[16] Prajapati, H., Kant, R. & Gorane, S., 2018. Impact study of supply chain practices on organisational performance for Indian chemical industries. International Journal of Logistics Systems and Management, Volume 31, pp. 20-38.
[17]Rodrigues, A. P. (2018). "Third-party logistics continuous improvement through integratedfleet management: the case of a transport company." . International Journal of Logistics Systems and Management.
[18]Sazvar, Z., Mirzapour Al-e-Hashem, S. M. J., Baboli, A., & Jokar, M. A. (2014). A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products. International Journal of Production Economics, 150, 140-154.
[19] Settanni, E., Harrington, T. S. & Srai, J. S., 2017. Pharmaceutical supply chain models: A synthesis from a systems view of operations research. Operations Research Perspectives, Volume 4, pp. 74-95.
[20] Sousa, R. T., Shah, N. & Papageorgiou, L. G., 2005. Global supply chain network optimisation for pharmaceuticals. Computer Aided Chemical Engineering, Volume 20, pp. 1189-1194.
[21] Torabi, S. A. & Hassini, E., 2008. An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy sets and systems, Volume 159, pp. 193-214.
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Published
2019-12-19
How to Cite
BOUKLI-HACENE, R.; BOUDAHRI, F.; BETAOUAF, H. OPTIMAL DESIGN OF PHAREMACEUTICALS SUPPLY CHAIN. Journal of Fundamental and Applied Sciences, [S. l.], v. 12, n. 1, p. 115–132, 2019. DOI: 10.4314/jfas.v12i1.8. Disponível em: https://jfas.info/index.php/JFAS/article/view/569. Acesso em: 30 jan. 2025.
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