Modeling And Optimization Of Resilient Biofuel Supply Chain Under Complex Risk Environment

With the rapid development of economy throughout the world, global energy crisis and environmental pollution are escalating as well as other problems. Traditional energy structures have not been able to meet the needs of human life, so that people are actively looking for clean and renewable energy. Due to the material-availability, high cleanliness of biofuel and other unique advantages, it has quickly become the main force in the new energy. A great number of countries and even global have paid close attention to bio-energy, such as Brazil and the United States, whose use of biofuel is already taken shape. It is an important energy policy to develop bio-energy industry in the world, including China.Biofuel has made a great contribution to solving the global energy crisis, while also new risks and challenges. In order to ensure the healthy development of the biofuel industry, it is indispensable to build a rational and effective supply chain network. Biofuel supply chain network mainly includes four phases, supplier of raw materials, collection center of raw materials, refinery and final demands. As the result of high interdependency of facilities at each node in the network, a chain reaction configurates incidentally after disruption risks and uncertain event occurs. The influence will quickly ripple across the whole bio-energy supply chain network, which eventually leads to low profits of biofuel companies, and even threatening their survival. As the increasing complexity of world environment in recent years, disruption risks and the uncertainty of events have been become more and more frequently. The disruption risk is mainly shown as natural disasters, accidents, social public security incidents and so on. While the uncertainty is mainly in terms of supply, demand, price. They often syncretize themselves to form a complex risk environment in the actual operation of biofuel network of supply chain, which brings higher challenges to decision makers of supply chain. Therefore, the design of resilient biofuel supply chain network seems especially important in the complex risk environment.In response to these above questions, this dissertation makes a deep discussion and research on optimization of resilient biofuel supply chain network design under complex risk environment on the basis of previous research. The remainder main research work of this paper is organized as follows:(1) After describing the research background and relevance, this article further proposes the framework of research and study context.(2) This dissertation summarizes the relevant theory and existing literature of elastic biofuel supply chain network design, including biofuel supply chain network design, supply chain risk management, and the design of resilient biofuel supply chain network under disruption risk environment.(3) Building a four-level single cycle of biofuel supply chain network under the complex risk environment. It takes advantages of the policies of multiple sources supply and alternative sources supply to increase the resilient of supply chain networks, which copes with complex risk threats. At the same time, we establish a network design model based on scenarios to minimize system cost and financial risk respectively.(4) Numerical experiment analysis. We ultimately prove the rationality and effectiveness of the model by the solution of mathematical model and sensitivity analysis.(5) Finally, summarize the whole article, conclude the findings, and point out the further work of a reasonable prospective.