فاطمه كاظمي نژاد

The pharmaceutical supply is significantly important due to the sensitive nature of medicine, its connection to people's health, and the industry's rising costs. A significant portion of healthcare costs is associated with the proper pharmaceutical supply and distribution, particularly in emergencies like the Corona pandemic. The main objectives of the network include providing pharmaceutical drugs, ensuring timely access, maintaining the quality of medications, lowering costs and also social and environmental concerns. These objectives can be realized through proper management of the supply chain. It should be mentioned that the current social and environmental issues have significantly increased the volume of research on sustainable supply chain over the past decades. Designing or redesigning the supply chain is one method for improving it since it enables the best decisions to be made in the supply chain to lower total costs without compromising service quality. In this dissertation, it has been discussed how to develop a hybrid model of data envelopment analysis model for selecting a sustainable supplier and multi-objective decision-making for the location-inventory of the pharmaceutical supply chain while taking aspects of sustainability into account. In the first step, the data envelopment analysis model is employed to eva‎luate suppliers against two effective and ineffective standards simultaneously. Then, the final quality of the medicine has been converted into a quantitative parameter using the obtained efficiency scores. In the second step the model is presented in a multi-objective mixed integer programming format. The first objective function is associated with minimizing chain costs, and the second objective function, which takes into account the medicine quality index, aims to maximize the supply chain's social satisfaction. The spread of epidemic diseases like corona disease, which triggers fluctuations in the demand parameter causes uncertainty in the model. Additionally, the constraint-epsilon method was employed to solve the multi-objective to single-objective model. The presented model is implemented in the Iranian Darupakhsh Holding Company as a case study. The outcomes of the mathematical model demonstrate that taking into account the shelf life of medication and its management during planning might be crucial from an economic and environmental standpoint. Also, as the time interval between the production date increases, the value of the medication decreases. The medicine becomes unsafe, useless, and environmentally destructive in cases of corruption. This model aims to keep the corruption of the medication to a minimum by selling it immediately after production.

زنجيره تأمين دارو , پايداري , تحليل پوششي داده‌ , انتخاب تأمين‌كننده , عدم قطعيت

pharmaceutical supply chain , Sustainability , data envelopment analysis (DEA) , supplier selection , uncertainty

Fateme kazeminejad

Dr. Mahdi Heydari