Meta-Synthesis of Supply Network Resilience Measurement Models

With the globalization of organizations' services and products, supply chain networks have become more complex than before and are obviously more vulnerable to disruptions. Undoubtedly, the fundamental approach to dealing with disorders and overcoming vulnerability is "resilience". Network resilience is the provision of a new concept that has crystallized from the broader concept of resilience. The purpose of this study is to analyze the components of supply network resilience in order to achieve a model for measuring and evaluating supply network resilience.

The research method is applied in terms of purpose and descriptive in nature. The statistical population of the research is based on valid articles of the resilience literature in scientific databases, the method of data collection is documentary and based on Simo logic and the method of data analysis is qualitative and quantitative. In qualitative analysis, first 1461 documents related to supply-side resilience were prepared using systematic review of research literature, and then 194 documents were extracted with a hyper-combined approach. In the quantitative analysis section of the research, by presenting Shannon entropy algorithm, the components of resilience in the documents are classified.

The main indicators have been developed in the form of three components of drivers, strategies, and evaluation metrics of the supply chain. Stimulants include enablers and inhibitors. Strategies also include preventive, current, and responsive strategies.

In the components of strategies, the emphasis is on creating improvement processes, adaptation through flexibility and redundancy. In the stimulus component, too, there is an emphasis on joint effort and agility in the capabilities and disorders of inhibitors. Flexibility is also a priority in the component of evaluation metrics.