Identification and ranking technological capabilities in order to enhance resilience of the supply chain

Because of the complexity of today's business environment that are associated with high levels of uncertainty and risk, Company seeks to manage and reduce risk in their supply chain. One of the strategies to deal with supply chain risks is increasing the supply chain resiliency. To increase the resilience of the supply chain, it is necessary to be considered various capabilities. One of the most important capabilities are technological capabilities. Companies that do not have sufficient maturity in the technological capabilities cannot simultaneously implementing several ways of risk management. On the other hand, many technological capabilities related to each other and are able to interact with other abilities. Therefore, in this paper to reduce risk and consequently increase the resilience of the supply chain, after identifying indicators of technological capabilities, these indicators were prioritized.

At first, with the review conducted research in the field of supply chain resiliency, Indicators related to technological capabilities to increase supply chain resiliency were investigated and A list of identified criteria was placed at the disposal of company experts. Then, these criteria after examining in the case study and according to the experts with the Fuzzy Delphi method were modified and finalize. In the next step, based on SWARA method relevant indicators were weighted.

Criteria of technological collaboration, supply chain agility, flexibility of supply respectively were recognized as the most important indicator.

With the development of information technology and the need for supply chain resilience, identifying technological capabilities and their impact on resilience is essential to reduce supply chain risk. In this paper, while identifying technological capabilities to increase supply chain resilience, these capabilities are prioritized. Also, the combined use of fuzzy Delphi methods to confirm the indicators and SWARA method has led to the stability of the results.