Measuring Supply Chain Resilience using Complex Adaptive Systems approach; Case Study: Iranian Pharmaceutical Industry

A growing business environment with growing uncertainty, unexpected dangers and quick unavoidable changes increases the probability of intense disturbance in corporation's supply chain. This trend that accompanies by natural disasters e.g. flood, tsunami, earthquake and etc. increases the necessity of resiliency and development of supply chains specially in pharmaceutic supply chains which are more sensitive. Managers require tools monitoring their supply chain resiliency against disturbance. The main purpose of this research is measurement and assessment of supply chain resiliency in pharmaceutical industry. In this study; considering complex adaptive systems (CASs) approach under the title of theory lens; the supply chain of two Iranian pharmaceutical corporations (Iran Daroo and Ghazi pharmaceutical Company) were chosen to be examined. In the following, the SCR dimensions and factors in the CAS framework were identified by systematic literature review. Afterward, this research proposes the integrated and systematic method by combination of Interpretive Structural Modeling (ISM), DEMATEL, graph theory and matrix approach (GTMA) and importance-performance analysis (IPA) to measure and assess the level of resiliency of both supply chains. Finally, conclusions from this research can support the manager’s analysis of resiliency and selection of effectiveness risk mitigation strategies in their supply chain and simplifies decision-making. This novel approach causes a competitive advantage to achieve market share even during a disruption.