Skip to main content
SpringerLink
Log in

Six Sigma DMAIC Approach for Wireless Charging System Evaluation for Electric Vehicles Smart Manufacturing

  • Conference paper
  • First Online:
Proceedings of Industrial Engineering and Management (SMILE 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 131 Accesses

Abstract

Wireless charging system without wires and mechanical connectors and related infrastructure is environment and user friendly that widely applied in electric vehicles. It is crucial to establish a systematic performance improvement framework for the wireless charging systems of electric vehicles. This study proposes a Six Sigma wireless charging system evaluation framework with define-measure-analyze-improve-control management process, embedded with failure mode and effects analysis, Markov chain and quality control techniques to empower manufacturing operational excellence. The proposed framework can achieve the viability of intelligent decision-making to enhance the empirical implementation through continuous process improvement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Machura P, Li Q (2019) A critical review on wireless charging for electric vehicles. Renew Sustain Energy Rev 104:209–234

    Article  Google Scholar 

  2. Amjad M, Farooq-i-Azam M, Ni Q, Dong M, Ansari EA (2022) Wireless charging systems for electric vehicles. Renew Sustain Energy Rev 167:112730

    Article  Google Scholar 

  3. Song K, Lan Y, Zhang X, Jiang J, Sun C, Yang G, Yang F, Lan H (2023) A review on interoperability of wireless charging systems for electric vehicles. Energies 16(4):1653

    Article  Google Scholar 

  4. Fu W, Chien C-F, Chen C-H (2023) Advanced quality control for probe precision forming to empower virtual vertical integration for semiconductor manufacturing. Comput Ind Eng 183:109461

    Article  Google Scholar 

  5. Fu W, Chien C-F, Tang L (2022) Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study. J Intell Manuf 33(3), 785–798

    Google Scholar 

  6. Chien C-F, Dou R, Fu W (2018) Strategic capacity planning for smart production: decision modeling under demand uncertainty. Appl Soft Comput 68:900–909

    Article  Google Scholar 

  7. He Z, Ngee Goh T (2015) Enhancing the future impact of Six Sigma management. Qual Technol Quan Manage 12(1):83–92

    Article  Google Scholar 

  8. Pongboonchai-Empl T, Antony J, Garza-Reyes JA, Komkowski T, Tortorella GL (2023) Integration of industry 4.0 technologies into Lean Six Sigma DMAIC: a systematic review. Prod Plan Control 1–26

    Google Scholar 

  9. Hou Y, Kang K, Xiong Y, Liang X, Su L (2020) Uncertainty optimisation design of USV based on the Six Sigma method. Ocean Eng 200:107045

    Article  Google Scholar 

  10. Zhang M, Wang W, Goh TN, He Z (2015) Comprehensive Six Sigma application: a case study. Prod Plan Control 26(3):219–234

    Google Scholar 

  11. Li Z, Duan LB, Cheng AG, Yao ZP, Chen T, Yao W (2019) Lightweight and crashworthiness design of an electric vehicle using a six-sigma robust design optimization method. Eng Optim 51(8):1393–1411

    Article  Google Scholar 

  12. Sun Y, Song K, Zhou T, Wei G, Cheng Z, Zhu C (2023) A shared method of metal object detection and living object detection based on the quality factor of detection coils for electric vehicle wireless charging. IEEE Trans Instrum Meas 72:1–17

    Google Scholar 

Download references

Acknowledgements

This research is supported by Colleges and Universities Young Teachers Training and Funding Program of Shanghai Municipal Education Commission (ZZ202203036), Doctoral Start-up Foundation Project of University of Shanghai for Science and Technology (BSQD202109), and Horizontal Project (H2023303011).

Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14853, USA

    Sheng Jing

  2. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, 212100, China

    Wenmin Han

  3. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212100, China

    Honggen Zhou

  4. Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Wenhan Fu

Authors
  1. Sheng Jing
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wenmin Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Honggen Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wenhan Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wenhan Fu .

Editor information

Editors and Affiliations

  1. National Tsing Hua University, Hsinchu, Taiwan

    Chen-Fu Chien

  2. Tianjin University, Tianjin, China

    Runliang Dou

  3. Sichuan University, Chengdu, China

    Li Luo

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jing, S., Han, W., Zhou, H., Fu, W. (2024). Six Sigma DMAIC Approach for Wireless Charging System Evaluation for Electric Vehicles Smart Manufacturing. In: Chien, CF., Dou, R., Luo, L. (eds) Proceedings of Industrial Engineering and Management. SMILE 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-97-0194-0_52

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-0194-0_52

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0193-3

  • Online ISBN: 978-981-97-0194-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation