The Resource And Environment Benefits Evaluation Models On The Recycling And Remanufacturing System Of End-of-life Construction Machinery Products

In recent years, along with people’s advocacy to the "ecological economy" and "green manufacturing" modes, the remanufacturing of end-of-life products is gaining more and more attentions. End-of-life engineering machinery products contain many reusable components and a variety of recycled materials. By remanufacturing the cost of product can be effectively saved and the utilization rate of resources can also be improved, which can significantly reduce the negative impact on resource and environment. Many of the existing literature and models have mentioned, the remanufacturing of end-of-life machinery products can bring great benefits to the resources, and the environment, but few of the scholars build quantitative models to analyze and verify this thesis. At the same time, considering those uncertain factors existing in the manufacturing process of end-of-life engineering machinery products, such as recycling price and quantity, customer demand, the quality status of those products and so on, great challenges were brought for the government and remanufacturing enterprises. Therefore, it is necessary to establish a quantitative benefit evaluation model of resources and environment, and analyze the inherent variation mechanism between the benefit and uncertainty factors, to provide support for remanufacturing decisions and the development of the remanufacturing industry.Firstly, the recycling and remanufacturing process of end-of-life engineering machinery were studied, based on which, the energy and material consumption and carbon dioxide emissions existing in remanufacturing process were detailed analyzed. Then, after identifying the uncertain factors in recycling and remanufacturing process, the benefit evaluation models of resource and environmen t are established. Finally, the effect of uncertainty factors on the intrinsic mechanism of remanufacturing model is analyzed. The specific research contents of this paper are as follows:(1) An in-depth analysis on the energy consumption, material consumption and carbon emissions existing in the recycling and remanufacturing process of end-of-life engineering machinery was made. Then consulting a lot of literature, the relationship between the main uncertainty factors was recognized.(2) A model for evaluating the resource benefit of end-of-life construction machinery under uncertainty factors is established. Then explores the impact of remanufacturing on the manufacturer’s profit, such as recycling price, product quality coefficient, the coefficient of customer de mand, the direct using ratio of products and components.(3) Through an in-depth study of the "carbon footprint" in the process of recycling and remanufacturing, choosing the reduction of carbon dioxide emissions as a measure index of environment benefit, the carbon emission evaluation model is established. Moreover, an adaptive hybrid genetic algorithm(hybrid genetic algorithm, HGA) was designed to solve the model. Finally, by numerical example, the impact of uncertainty factors on the resource and environment benefits is analyzed, to verify the rationality of the model.