A Mathematical Model for Power Generation Expansion Planning with Considering Distributed Generation Units and Decreasing Carbon Dioxide

In the recent years, there has been an increase in the likelihood of the occurrence of the risks and unexpected events in supply chains. As a result, supply chains are more vulnerable to disruption and the risks on supply chain continuity has increased. The ability to manage risks and disruptions is one important aspect that differentiates between successful business leaders and others. This present research, therefore, attempts to present a system-wide approach to conceptualize a novel -to our knowledge- supply chain continuity management model. First, a systematic literature review was conducted to identify and explore appropriate capabilities and strategies that can be employed to improve the continuity of a supply chain. Then, a Fuzzy Axiomatic Design (FAD) approach was used to develop a supply chain continuity management model in automobile industry. In each step, independence and information axioms were used to evaluate the identified solutions.