A complexity driven approach for risk evaluation in use-oriented product-service systems supply chains

The dynamic and inter-connected nature of the current day business environment has transformed the supply chain of any enterprise into a highly complex system. However, the increased complexity of the supply chain has also made it more risk-prone. This paper presents a supply chain model for use-oriented product-service systems and proposes a complexity driven approach that deploys multiple domain matrices and agent based modeling for the identification and evaluation of a set of critical risk factors associated with supply chains. The findings of this research can aid systems professionals to have a better understanding of the risks associated with the complex nature of supply chains in order to develop mitigations strategies accordingly.