چكيده به لاتين
In the conditions of the Corona epidemic, the health supply chain plays a vital role in ensuring continuous access to medical services and equipment. One of the most important components of this chain is the provision of dialysis equipment, which is of vital importance for patients with advanced kidney failure. Therefore, strengthening the supply chain of medical equipment such as dialysis is of particular importance to effectively deal with health crises. In this research, a stochastic, multi-product and multi-period optimization model is presented to design the dialysis medical equipment supply chain, taking into account the considerations of resilience and sustainability. The components of this chain are suppliers (local, foreign and backup), production factories (final product of Safi, other disposable dialysis necessities and foreign), distribution center and customers (public, private, charity hospitals and centers and specialized treatment companies (smart)). The purpose of the proposed model is to minimize the total costs for the fair distribution of medical equipment among patients. Also, in this study, partial disruption in facilities including suppliers, factories and distribution center and complete disruption in transportation links are considered. In order to increase the resilience of the supply chain, as well as to deal with all kinds of disruptions, resilience strategies include backup suppliers (imports of raw materials), foreign factories (imports of finished products), maintaining inventory in distribution centers, and multiple sources (supply, production and distribution) are used. To deal with the uncertainty of the cost parameters of purchasing raw materials, production, maintenance, holding inverntory, shortage and transportation and parameters of customer demand, a two-stage stochastic planning approach is used. To evaluate the performance of the proposed model, a dialysis medical equipment company in Iran is selected as a case study and important and practical management insights are presented. The research results show that Iran's medical equipment supply chain network is very vulnerable without resilience against the effects of disruptions, and resilience strategies save the total costs and strengthen the resistance of this chain.
