عليرضا روشني روشتي

Nowadays, due to the growing environmental and social concerns, as well as the increasing risks of disruption, consideration of sustainability and resilience have become particularly important. However, the simultaneous study of these two issues (sustainability and resilience) is still less considered in the supply chain network design literature. On the other hand, in the last two years, the COVID-19 epidemic has led to many problems in supply chain networks. To this end, in this research, three proposed models for designing a stable and resilient supply chain network of drugs with a focus on the issue of COVID-19 are presented. In the first proposed model, a pharmaceutical supply chain network optimization problem is considered in which, by adopting several strategies, the network resilience is increased. Also, a two-stage stochastic programming approach is presented to overcome the uncertain nature of parameters. The first and second objective functions of this model seek to minimize delivery time and cost, and the third objective function seeks to minimize non- resilience measures to increase network resilience level. A multi-objective nonlinear mixed-integer programming model is presented in the second proposed model. Three pillars of sustainability are simultaneously considered by integrating the three main categories of resilience strategies and the assumption of perishability. The four objective functions of this model are the total cost, maximization of social impacts, the minimization of CO2 emissions and the resilience level, respectively. The goal programming (lexicographic) approach has also been used to convert these models into a single-objective model. In addition, in the second model, the NSGA-II algorithm is used to solve large-scale problems. In the third proposed model, first in the decision-making phase, the performance of suppliers is eva‎luated based on G-resilience criteria and using the BWM-AHP method. Then in the optimization phase, a tri-level programming model for pharmaceutical distribution networks in Iran is presented. Iran's Food and Drug Administration (IFDA), domestic manufacturers, and distribution companies are the players of the first to third levels, respectively. The goal of the first level is to increase the network resilience level and balance the price of pharmaceutical items. Also, the goal is to increase profits on the other two levels. Moreover, a new approach called the nested approach had been integrated with a non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) to solve the proposed tri-level problem. Finally, sensitivity analysis and validation have been performed for all proposed issues based on the case study information.

طراحي شبكه زنجيره تأمين دارو , توسعه پايدار , تاب آوري زنجيره تأمين , فسادپذيري , ريسك اختلال , برنامه ريزي تصادفي , برنامه ريزي سه سطحي , كوويد-19

Pharmaceutical Supply Chain Network Design , Sustainable Development , Supply chain Resilience , Perishability , Disruption Risk , Stochastic Programming , Tri-level Programming , COVID-19

Alireza Roshani

Dr. Mohammad Reza Gholamian