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The customer satisfaction-oriented planning method for redesign parameters of used machine tools

Author

Listed:
  • Xingyu Jiang
  • Boxue Song
  • Li Li
  • Mingming Dai
  • Haoyin Zhang

Abstract

Performance recovery is the main emphasis in most remanufactured machine tools, rather than the effective combination of customer requirements (CRs) and redesign processes. Because of this, remanufactured machine tools do not reach their potential competitiveness, highly restricting the implementations to recover used machine tools. To help remedy this, fuzzy nonlinear regression is applied to the fuzzy relationships between CRs and redesign parameters, and the fuzzy correlations among redesign parameters are analysed by fully considering the uncertainties between CRs and redesign parameters. Improved planning equations based on fuzzy nonlinear regression are proposed by injecting fuzziness into the original planning equations. The redesign process of a machine tool is taken as an example to implement the proposed method. The results show that the improved planning equations can obtain higher customer satisfaction compared to the unimproved planning equations. This can provide new thinking to effectively combine CRs and redesign processes.

Suggested Citation

  • Xingyu Jiang & Boxue Song & Li Li & Mingming Dai & Haoyin Zhang, 2019. "The customer satisfaction-oriented planning method for redesign parameters of used machine tools," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 1146-1160, February.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:4:p:1146-1160
    DOI: 10.1080/00207543.2018.1502483
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    Cited by:

    1. Zisheng Wang & Xingyu Jiang & Boxue Song & Guozhe Yang & Weijun Liu & Tongming Liu & Zhijia Ni & Ren Zhang, 2023. "PSO-BP-Based Morphology Prediction Method for DED Remanufactured Deposited Layers," Sustainability, MDPI, vol. 15(8), pages 1-15, April.

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