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A Life Cycle Comprehensive Cost-Based Method for Active Remanufacturing Time Prediction

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Sustainable Design and Manufacturing 2020

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 200))

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Abstract

In order to solve the problems of low-process efficiency and high remanufacturing cost caused by uncertainty of service time and damage degree of mechanical and electrical products, a prediction method for active remanufacturing timing of mechanical and electrical products oriented to full life cycle comprehensive cost is proposed. Firstly, based on the analysis of service characteristics of mechanical and electrical products, the concept of comprehensive cost of mechanical and electrical products including three dimensions of energy cost, environmental impact cost and economic cost is proposed. Secondly, based on the life cycle approach, the prediction model of active remanufacturing time is established by analyzing the impact of products on comprehensive cost in different stages of the life cycle. Thirdly, the multi-objective problem is transformed into a single-objective problem by linear weighting method to find the optimal solution which is the best time for active remanufacturing of products. Finally, the research and analysis of a certain type of engine have verified the effectiveness and feasibility of the above method.

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Acknowledgements

This work is financially supported by National Natural Science Foundation of China (Grant No. 51675388).

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Correspondence to Hua Zhang .

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Yao, X., Zhang, H., Yan, W., Jiang, Z. (2021). A Life Cycle Comprehensive Cost-Based Method for Active Remanufacturing Time Prediction. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing 2020. Smart Innovation, Systems and Technologies, vol 200. Springer, Singapore. https://doi.org/10.1007/978-981-15-8131-1_41

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  • DOI: https://doi.org/10.1007/978-981-15-8131-1_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8130-4

  • Online ISBN: 978-981-15-8131-1

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