چكيده به لاتين
Abstract:
Today, medicine is one of the most important commercial products according to its significant impact on humans' health. Medicine is so important that all governments have preferred to handle and control its production and distribution exclusively by themselves. Medicine manufacturing is now known as great and strategic industry. Pharmaceutical supply chain which is one the most important health protection chains for all people. Therefore, efficient planning and genuine inventory management of medicine supply chain can control medicine shortages and can significantly affect people's survival and restoring their health.
The main purpose of this thesis is to present a model for planning supply chain Ribavirin in crisis conditions. So a three-level network which includes producers, distributors and consumers is considered as well as capacity-limited warehouses for the distributors' layer. Locating these warehouses is done at this layer. In this model, planning the layer of distributors and consumers is multi-period while the layer of producers and and distributors is single-period. The proposed model is an integrated integer-planned pattern which is bi-objective and because of being bi-objective, this model has been solved through the LP- metric method and GAMS software has been used. Due to the nonspecific demand in critical conditions, three scenarios are presumed according to the intensity of crisis which scenario 1 corresponds to the current situation and demand in scenarios 2 and 3, which corresponds to the crisis, with moderate to high levels of demand due to patient records in other countries respectively 5 and 10 times the level of Scenario 1 considered and accordingly the optimal values and the answer was calculated. It should be established for the number of distributors (three levels 3, 5 and 8 to distributor) intended and answers are compared with each other. According to the results, with the addition coefficient relative importance of cost, shipping cost and design the optimal network gradually decreases. Also, the optimal value of the objective function for this study, obtained zero, which means the supply demand over the planning horizon is all consumers. Therefore, there will be no shortage According to the program on the network. Comparison of the first objective function is also optimized for a variety of distribution systems indicates that by increasing the number of distribution facilities, the costs will increase.
Keywords: Pharmaceutical supply chain, inventory management, perishable products, healthcare, disaster.
