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Research on the Connotation and Measurement of Uncertainty for Reassembly Dimensions Based on Entropy

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 8))

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Abstract

The uncertainty of reassembly dimensions is directly related to the accuracy and stability of remanufactured products. Therefore, the purpose of this paper is to improve the mathematical understanding of the uncertainty of remanufacturing. First, the uncertainty connotation of reassembly dimensions is analyzed by contrasting the ideal parts, the manufactured parts and the remanufactured parts combined with the uncertainty principle. Second, the uncertainty measurement model for reassembly dimensions is constructed, which can realize quantitative measurement by entropy. Then, we study the uncertainty coupling mechanism of reassembly dimensions, and its corollary has to be in conformity with the reality. Finally, the uncertainty of remanufactured heavy-duty engine crankshaft is measured to verify the validity of the model. These conclusions are useful in the development of the uncertain optimization decision for remanufacturing, and it provides theoretical support for lean remanufacturing.

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Acknowledgments

This research is in part supported by Supported by China Postdoctoral Science Foundation (2017M611574), Natural science research project of universities in Anhui (KJ2017A438 and KJ2017A439) and Professor of Suzhou University (PhD) project for Research Foundation (2016jb08).

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Correspondence to Conghu Liu .

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Liu, C., He, K. (2018). Research on the Connotation and Measurement of Uncertainty for Reassembly Dimensions Based on Entropy. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-65636-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65635-9

  • Online ISBN: 978-3-319-65636-6

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