Supply chain resilience in postal transport with factor analysis approach

The purpose of this study is to investigate the resilience of the supply chain in the transportation of goods by postal companies in critical situations. For this purpose, after reviewing the literature and research background and interviewing experts, 14 resilience indices were extracted and questionnaires were distributed and collected among 98 postal customers. Preliminary data analysis was performed through SPSS software and principal component analysis and exploratory factor analysis. After varimax rotation, the variables with eigenvalues greater than one and factor loads greater than 0.55 were identified and explained the highest correlation and variance. Finally, six hidden factors were obtained. Also, in order to obtain the relationship between indicators and factors and the internal relationship between indicators, through MATLAB software, all super matrix calculations, weighted matrices and partial matrices have been performed through the network analysis process method. Finally, the value of the importance of each factor and the importance of the relative coefficient of each index are calculated, in which the insurance of the goods is the most important factor and the timely delivery of the goods is the most important indicator.