Abstract
Life Cycle Assessment（LCA）has been widely used in the field of product development for the analysis of the impact on the environment in the product development process in recent years. With the rise of the awareness of environmental protection, people may pay more attention on the concept of green products. In order to save energy consumption and reduce carbon emissions, governments set up environmental restrictions to urge enterprises concern the impact on environment when they manufacturing products. Besides, to establish green images, enterprises not only have to satisfy the regulations set by governments, but choose appropriate suppliers in supply chain. However, with different manufacturing process and different production characteristics, the type of power generation and power consumption of suppliers on the environmental impact are different, that is, the uncertainties of life cycle assessment. In addition, when LCA is used for decision support or tool, the uncertainties of the evaluation can be an important factor to make the incorrect decisions. Therefore, this research focuses on the parameter uncertainty of life cycle assessment. Assume that parameters of environmental impact to three estimates by statistical methods and construct supply chain network model. Considering supply chain network model as the K-Shortest Paths（KSP）problem, which is solved by Yen’s algorithm. Different paths are the same as different supply chain decisions. Finally, knowing the environmental restrictions in advance, this research proposes three ways to make supply chain decisions, analyzing the differences between results of evaluation and ways to making supply chain decisions under the uncertainties of life cycle assessment.