This study proposes a quantitative evaluation model for comparative analysis of vaccine supply chain (VSC) performance while considering multiple regions input real time data that is both subjective as well as objective in nature. Performance indicators (PIs), capable of taking subjective as well as objective inputs, are constructed to capture the VSC development status and categorized under different objectives. A combination of CRITIC and VIKOR method are used to define weights of the performance criteria and rank the alternatives regions respectively, while analysing objective and subjective weights. Whereas, the spherical fuzzy extension of CRITIC and VIKOR method was used to interpret the subjective performance information provided the VSC managers at the respective region. The ranks obtained are then compared for each region to identify the regions observing conflicting narratives based on objective and subjective information. Also, further investigation of VSC in such regions can highlight reasons responsible for conflicting narratives.