Research On Integrated Optimization Problem Of Structure And Operation Stratgy For Resilient Biofuel Supply Chain

For a long time, the world economy development has always been mainly relies on oil, coal and natural gas, which are representatives of unrenewable energy resource. However, as with the storage of unrenewable energy drying up, and the worldwide demand for sustainable energy continues to increase greatly, the renewable green energy such as wind, solar and biomass energy are of high development speed. Among them, biological energy is highly focused on because of its lower carbon emission, less energy consumption,bigger energy density and other significant advantages, biological energy can not only provide electricity, heat, etc., some can also serve as the main sources of automobile fuel, so biological energy is considered to be a good choice to replace unrenewable energy.In recent years, some countries become more and more depend on bioenergy which is generated by plants and animals,etc. And for the sake of serious energy shortage situation in our country, as a new energy resource, if biological energy can get good development and utilization, the tight energy supply can be relieved to some extent.In order to ensure the economically and effectively supply of biological energy, it is essential to build stable bioenergys supply chain network.However, research on resilient bioenergy supply chain network is still in its infancy in studies at home and abroad, we have not yet formed a systematic and mature theoretical framework and research methods, more do not establish a perfect bioenergy supply chain network.Under this situation, many scholars began to consider how to combine the particularity in biomass itself with the designing and optimizing its supply chain network, in order to make it effectively respond to the complex environment, and resist the potential risk.Therefore, how to construct a bioenergy supply chain network under disruption risk is a pressing research topic at present.Based on the background, this paper mainly focuses on the integrated optimization problem of the bioenergy supply chain network. In this study, there is only one kind of raw material and one refining technology, and the whole bioenergy supply chain network is consisted of four main elements, which are harvesting area, refining factory, distribution centers and blending centers. resilient strategies such as multi-sourcing, supply from alternative sources and joint emergency stragety are also embedded in the supply chain structure. All these approaches are given to cope with the complex disruption environment of harvesting area, distribution centers and the transportation. This paper proposes a mixed integer linear programming model with the objective of minimizing the expected total cost for the bioenergy lining supply chain network to design the resilient supply chain network, through the numerical experiment analysis, the practicability of the optimization model has been demonstrated by solving a numerical experiment, and finally a sensitivity analysis is also made to obtain managerial goal.Based on the above research, this paper includes the following research work:(1)Stating the background and significance of this paper, and giving the logic thinking and basic research content of the full text.(2)Summing up and sorting out the related theory and literature, mainly focuses on bioenergy supply chain related overview, resilient supply chain network theory and content about supply chain network supply chain risk at home and abroad, and give a review of supply chain network model and optimal solution, as well as the study on bioenergy supply chain under certainty environment.(3)This paper established two MILP model, both based on the objective of minimizing the expected total cost for the bioenergy supply chain network to design the resilient supply chain network.(4)This paper proves the feasibility and validity of two models through the numerical experiment analysis, and it also prove the practical application value to construct the resilient supply chain.(5)At last, the paper summarizes the main views and indicates the limitation as well as defects in the article, also give some expectations for the future work.