Environmental efficiency assessment for remanufacture of end of life machine and multi-objective optimization under carbon trading mechanism

摘要

Remanufacture unlocks the residual values in used products by prolonging the life cycle. While due to different working conditions in use stage, the quality of returned items varies widely, which has greatly reduced the process efficiency and added to the complexity of management. To quantify the impacts of quality uncertainty on remanufacture, the study employs Monte Carlo simulation to establish definite relation between quality loss and environmental efficiency in remanufacturing, then from which conducts a quantitative analysis of the effects of carbon trading mechanism on procurement and production. Finally, it devises a multi-objective optimization strategy to strike a balance between economic and environmental benefits. Grounded with data collected from the machine remanufacturing industry, our model illustrates that moderately raising the environmental regulation stringency will not impede the industrial development, it could increase the comprehensive benefit by even up to 50%. Thus, we provide a theoretical foundation and optimization direction for managers to make scientific decision towards sustainable development at lower energy and resource input in remanufacturing.