Hybrid model for comprehensive covid-19 regional safety, risk assessment, and advanced vaccine analysis

Abstract

Advancements in transportation infrastructure, shifts in consumption tendencies, and factors like COVID-19 have raised the need and burden on freight transportation. Various firms are assessing freight transportation systems' long-term viability, speed, and robustness worldwide, requiring data and measurement instruments for freight fluidity. This research attempts to provide a hybrid model to analyze the effects of COVID-19 and the subsequent production methods for the manufacturing sector. This work introduces a new and robust integration method by combining the Ordinal Priority Model (OPM) and Fuzzy-based Distance from Average Solution (F-EDAS) for the first time. The OPM approach was used to assess and measure the adverse effects of the epidemic. Production plans were thoroughly considered utilizing the F-EDAS approach. Digitalization and on-site renewable energy are identified as the most crucial recovery methods. The multi-scenario ranking findings assist managers in making resource-allocation choices for implementing post-COVID-19 production plans.