Grants and Contributions:

Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023)

The globalization of supply chains and increased interdependence among the supply chain partners have resulted in more complex supply networks that can exacerbate the effect of disruptions on the supply chain partners. Also, the frequency and extent of the disruption have increased lately and many companies have become more concerned about their ability to manage risks and respond to the disruptions. For example, the Global Procurement Study found that 80% of companies are vulnerable to a major disruption. In addition, it is very difficult to anticipate disruptions and after occurrence, they cause huge negative financial impacts for companies and recovery from disruption to return to normal conditions is often slow. Therefore, without proper mitigation and recovery strategies, supply chains may suffer significant losses while recovering from disruptions. This has led many supply chains to reconsider their supply network configuration. For example, after the 2011 earthquake in Japan the major auto manufacturers starts asking questions about how their supply network should be designed, in particular the question of adding redundancy through either extra inventory, extra capacity or redundant facilities.
The existing literature assumes a single type of mitigation or recovery strategies and considers the known disruption factors. This research aims to address this gap by developing mathematical models, analytical approaches and solution techniques to: (1) better estimation of disruption and recovery probabilities/rates and develop models that perform effective even when the disruption parameters are unknown, (2) develop a systematic approach to manage disruptions in multi echelon supply systems that disruption happens in more than one level and impact of disruptions in different levels may be dependent, and (3) develop multi mitigation and recovery strategies simultaneously and study the value of multi strategies approach. The outcomes of this research will provide insight for researchers and practitioners of Canadian companies, develop a comprehensive methodology to manage disruptions and enhance the effectiveness of the decisions which are made for pre- and post-disruption periods. Finally, High Quality Personnel (both PhD and MSc students) will be trained in supply chain management, risk management, stochastic programming and large-scale optimization that will prepare them for employment in academics and industry.