Deterioration

The term ‘deteriorated texture’ gives all experts as well as ordinary people almost the same impression. Despite common points in images, the differences put Iran cities in different categories based on deteriorated textures. This classification not only has negative effect on the audience from mental point of view but causes various problems for the experts in determining interference method. For example, the textures having different deterioration causes yet from body point of view have led to the same deterioration placed under the same category. This itself leads to new problems and results in the deterioration process. So, this study has based its performance on deterioration indicators through investigating different definitions of deterioration and putting aside formal definitions of deteriorated textures. Then, having reviewed interference perspectives, we put the final frame on deterioration indicators. We have analyzed several interference projects in deteriorated textures in order to come up with a theoretical framework and arrive at basic criteria. Of course, it should be mentioned that we have tried to select projects which have common condition with Iran so that the resulted criteria can be applied in deteriorated texture in Iran.

The COVID-19 epidemic had a significant impact on both India and the rest of the world. The manufacturing and selling processes have been delayed due to the Covid-19 epidemic’s quick spread. Many sectors are now searching for a suitable and efficient disruption recovery strategy to assist in their recovery. Thus, the goal of this essay is to create a workable model that takes the Covid-19 pandemic’s many elements into account. This study proposes an inventory model while taking into account an interruption in demand. In this model, the FIFO policy is used to analyze effect of degradation. It has been suggested that a two-parametric Weibull distribution would accurately reflect the actual issues brought on by degradation. A two-warehouse system’s total cost will be as low as possible during the lock-down period, according to the research. Additionally, sensitivity analysis was utilized to assess the behavior of the models