Application of a Two-stage Multi- item Fuzzy Transportation Model for Medical Resources during the (covid-19) Pandemic in Baghdad

Abstract

The spread of the Corona virus (covid-19) poses a major challenge to the ability of our health systems to respond to the enormous needs of medicines and medical supplies for people infected with this virus all over the world, as well as its negative effects on tourism, trade, production and other activities. This pandemic has created dynamic and complex scenarios, including governments taking strict measures to slow the spread of the virus and thus reduce the burden and excessive pressure on health institutions and systems, Since the pandemic is witnessing epidemic waves from time to time, this leads us to the fact that it may be long-term and witness the spread and development of strains of other coronaviruses that may be more dangerous.

This makes us search for a logistical system that makes the process of transportation and distributing multiple medical resources (therapeutic protocol and medical supplies) balanced and effective in light of a fuzzy environment and the lack of knowledge of the problem data specifically and accuracy, such as delay times resulting from the transport and distribution of medical resources from warehouses to distribution centers and then To the consumption centers as well as the required quantities of those resources during the peak period of the pandemic in the capital, Baghdad, so it was relied on to formulate a multi-item, two-stage fuzzy transportation model, starting from the central warehouses of (Kimadia) Company to the Baghdad health departments and then to the beneficiary hospitals. Researchers have relied on medicines and special medical supplies to prevent a pandemic (covid-19), as well as in formulating the mathematical model.