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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))

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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References

  1. Xu, B.-S.: Remanufacturing Engineering and its Application. Harbin Institute of Technology Press, Harbin (2005)

    Google Scholar 

  2. Subramoniam, R., Huisingh, D., Chinnam, R.B.: Remanufacturing for the automotive aftermarket-strategic factors: literature review and future research needs. J. Clean. Prod. 17(13), 1163–1174 (2009)

    Article  Google Scholar 

  3. Ilgin, M.A., Gupta, S.M.: Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. J. Environ. Manag. 91, 563–591 (2010)

    Article  Google Scholar 

  4. Liu, M., Liu, C., Xing, L., et al.: Study on a tolerance grading allocation method under uncertainty and quality oriented for remanufactured parts. Int. J. Adv. Manuf. Technol. 87, 1–8 (2013)

    Article  Google Scholar 

  5. Qiang, Q., Ke, K., Anderson, T., et al.: The closed-loop supply chain network with competition, distribution channel investment, and uncertainties. Omega 41, 186–194 (2013)

    Article  Google Scholar 

  6. Amin, S.H., Zhang, G.: A three-stage model for closed-loop supply chain configuration under uncertainty. Int. J. Prod. Res. 51(5), 1405–1425 (2013)

    Article  Google Scholar 

  7. Inderfurth, K.: Impact of uncertainties on recovery behavior in a remanufacturing environment: a numerical analysis. Int. J. Phys. Distrib. Logist. Manag. 35(5), 318–336 (2005)

    Article  Google Scholar 

  8. Kenné, J.P., Dejax, P., Gharbi, A.: Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain. Int. J. Prod. Econ. 135(1), 81–93 (2012)

    Article  Google Scholar 

  9. Su, C., Sha, Y.: Remanufacturing production planning based on mixed-uncertainty and evidence theory. J. Southeast Univ. (Nat. Sci. Ed.) 40, 712–716 (2010)

    Google Scholar 

  10. Ferguson, M., Guide Jr., V.D., Koca, E., Souza, G.C.: The value of quality grading in remanufacturing. Prod. Oper. Manag. 18(3), 300–314 (2009)

    Article  Google Scholar 

  11. Tang, X., Mao, H., Li, X.: Effect of quality uncertainty of parts on performance of reprocessing system in remanufacturing environment. J. Southeast Univ. (English Ed.) 1, 020 (2011)

    Google Scholar 

  12. Li, C.C., Li, C.B., Cao, H.J., et al.: Uncertain remanufacturing process routings model for used components based on GERT network. Comput. Integr. Manuf. Syst. 18(2), 298–305 (2012)

    MathSciNet  Google Scholar 

  13. Liu, C.: Tolerance redistributing of the reassembly dimensional chain on measure of uncertainty. Entropy 18(10), 348 (2016)

    Article  Google Scholar 

  14. Weaver, W., Shannon, C.E., et al.: Mathematical Theory of Communication, pp. 623–656. University of Illinois Press, Champaign (1949)

    MATH  Google Scholar 

  15. Frizelle, G., Suhov, Y.M.: An entropic measurement of queueing behaviour in a class of manufacturing operations. In: Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. The Royal Society, vol. 457, no. 2011, pp. 1579–1601 (2001)

    Google Scholar 

  16. Efstathiou, J., Calinescu, A., Blackburn, G.: A web-based expert system to assess the complexity of manufacturing organizations. Robot. Comput.-Integr. Manuf. 18(3), 305–311 (2002)

    Article  Google Scholar 

  17. Kuzgunkaya, O., ElMaraghy, H.A.: Assessing the structural complexity of manufacturing systems configurations. Int. J. Flex. Manuf. Syst. 18(2), 145–171 (2006)

    Article  MATH  Google Scholar 

  18. Zhang, Z.: Complexity of cellular manufacturing systems based on entropy models. J. Mech. Sci. Technol. 24(11), 2275–2280 (2010)

    Article  Google Scholar 

  19. Liu, C., Liu, M., Xing, L.: A research on the uncertainty measure and its application to the journal surface roughness of remanufactured engine crankshaft. Qiche Gongcheng/Automot. Eng. 37(3), 341–345 (2015)

    Google Scholar 

  20. Liu, C., Liu, M., Wen, H.: Based on the uncertainty measure of remanufactured crankshaft’s balance control. J. Mech. Eng. 51(5), 171–177 (2015)

    Article  Google Scholar 

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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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Authors and Affiliations

  1. Suzhou University, Suzhou, 234000, China

    Conghu Liu & Kang He

  2. Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, 200030, China

    Conghu Liu

Authors
  1. Conghu Liu
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  2. Kang He
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Corresponding author

Correspondence to Conghu Liu .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, Ontario, Canada

    Isaac Woungang

  3. School of Business, UNSW Australia, Canberra, Aust Capital Terr, Australia

    Omar Khadeer Hussain

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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

  • eBook Packages: EngineeringEngineering (R0)

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