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Abstract

This study investigates the barriers that the Lean Six Sigma implementation faces during the assembly of electric vehicles. In order to implement lean Six Sigma methodology in electric vehicle assembly processes effectively, it is crucial to identify and analyze the barriers that hinder process improvement. To identify the obstacles and create a conceptual model, a thorough literature review was conducted. Four factors, namely, integration of assembly, inspection, and testing, lack of trained and knowledgeable human resources, external and in-plant battery transportation, and manual assembly and rigid automation, were found to have the potential to affect the lean Six Sigma implementation. Three drivers, namely assembly cost, assembly time, and assembly effort were selected for the study. The model is then tested using the structural equation modeling and the gathered data. The results show a significant relationship between the three drivers and the four barriers of Lean Six Sigma implementation to the electric vehicle assembly.

Keywords

Lean Six Sigma Lean Implementation Barriers Electric Vehicle Assembly Structural Equation Modeling (SEM)

Article Details

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

  1. A. Zope, R. K. Swami, and A. Patil, “Electric vehicles : Consumer perceptions and expectations,” 2023.
  2. S. Gupta, S. Poonia, T. Varshney, R. K. Swami, and A. Shrivastava, “Design and implementation of the electric bicycle with efficient controller,” in Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021, Springer, 2022, pp. 541–552.
  3. M. Hackleman, “Basics of Electric Vehicles,” Earthword: The Journal of Environmental and Social Responsibility, no. 4, pp. 66–70, 1992.
  4. M. Putzig, J. Bennett, A. Brown, S. Lommele, and K. Bopp, “Electric vehicle basics,” National Renewable Energy Lab.(NREL), Golden, CO (United States), 2021.
  5. F. Abu, H. Gholami, M. Z. M. Saman, N. Zakuan, D. Streimikiene, and G. L. Kyriakopoulos, “An SEM approach for the barrier analysis in lean implementation in manufacturing industries,” Sustainability, vol. 13, no. 4, p. 1978, 2021, doi: 10.3390/su13041978.
  6. R. Rathi, M. Singh, A. K. Verma, R. S. Gurjar, A. Singh, and B. Samantha, “Identification of Lean Six Sigma barriers in automobile part manufacturing industry,” Materials Today: Proceedings, vol. 50, pp. 728–735, 2022, doi: 10.1016/j.matpr.2021.05.221.
  7. C. Hardeman and P. L. Goethals, “A case study: applying Lean Six Sigma concepts to design a more efficient airfoil extrusion shimming process,” International Journal of Six Sigma and competitive advantage, vol. 6, no. 3, pp. 173–196, 2011, doi: 10.1504/IJSSCA.2011.039717.
  8. J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, “Multivariate Data Analysis Seventh (7th) Edition.” Pearson New International Edition. Pearson, 2014.
  9. K. Joreskog and D. Sorbom, “Structural equation modelling: Guidelines for determining model fit,” NY: University Press of America, 1993.
  10. A. Zope, R. K. Swami, and A. Patil, “Lean six sigma barriers with potential solutions in electrical vehicle assembly : A Review,” Proceedings on Engineering Sciences, vol. 5, no. 3, pp. 375–382, 2022, doi: 10.24874/PES05.03.002.
  11. ABB, “Disrupting the auto industry - ABB Digital Robotics 2020,” Automotive Manufacturing Solutions. 2020. Available: https://automotivemanufacturingsolutions.h5mag.com/abb_digital_robotics_2020/disrupting_the_auto_industry.
  12. R. Das and M. Pradhan, Handbook of research on manufacturing process modeling and optimization strategies. IGI Global, 2017.
  13. McKinsey & Company, “Improving BEV market profitability through reduced structural costs.” New York City, 2020. Available: https://www.mckinsey.com/ industries/automotive-and-assembly/our-insights/improving-battery-electric-vehicle-profitability-through-reduced-structural-costs#/.
  14. T. Tanabata, K. Kodama, T. Hashiguchi, D. Inomata, H. Tanaka, and S. Isobe, “Development of a plant conveyance system using an AGV and a self-designed plant-handling device: A case study of DIY plant phenotyping.,” Breeding science, vol. 72, no. 1, pp. 85–95, Mar. 2022, doi: 10.1270/jsbbs.21070.
  15. P. Alipour, H. Daneshmandi, M. Fararuei, and Z. Zamanian, “Ergonomic Design of Manual Assembly Workstation Using Digital Human Modeling.,” Annals of global health, vol. 87, no. 1, p. 55, Jun. 2021, doi: 10.5334/aogh.3256.
  16. ATS Industrial Automation, “Electric Vehicle Challenges_ Are You Prepared?” 2021. Available: https://atsindustrialautomation.com/webinar/electric-vehicle-challenges-are-you-prepared/.
  17. A. Sharma, P. Zanotti, and L. P. Musunur, “Robotic Automation for Electric Vehicle Battery Assembly: Digital Factory Design and Simulation for the Electric Future of Mobility,” IEEE Access, vol. 7, p. 170961, 2019, doi: 10.1109/ACCESS.2019.2953712.
  18. W. Kern and J. Weinzierl, “Modular Assembly : ‘ We ’ re making the assembly line more flexible and enhancing it . ,’” Audi Communications, 2022. .
  19. I. Rio-Torto, A. T. Campaniço, P. Pinho, V. Filipe, and L. F. Teixeira, “Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data,” Applied Sciences, vol. 12, no. 11, p. 5687, 2022, doi: 10.3390/app12115687.
  20. S. Bhasin, “Prominent obstacles to lean,” International Journal of Productivity and Performance Management, vol. 61, no. 4, pp. 403–425, 2012, doi: 10.1108/17410401211212661.
  21. W. T. Shirey, K. T. Sullivan, B. Lines, and J. Smithwick, “Application of lean six sigma to improve service in healthcare facilities management: a case study,” Journal of Facility Management Education and Research, vol. 1, no. 1, pp. 9–18, 2017, doi: 10.22361/jfmer/78724.
  22. S. S. Chakravorty and A. D. Shah, “Lean Six Sigma (LSS): an implementation experience,” European Journal of Industrial Engineering, vol. 6, no. 1, pp. 118–137, 2012, doi: 10.1504/EJIE.2012.044813.
  23. C. Osatis and C. Asavanirandorn, “An Exploring Human Resource Development in Small and Medium Enterprises in Response to Electric Vehicle Industry Development,” World Electric Vehicle Journal, vol. 13, no. 6. 2022, doi: 10.3390/wevj13060098.
  24. R. Elboq, M. Hlyal, and J. El Alami, “Empirical assessment of critical success factor of lean and six sigma in the Moroccan automotive industry,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 827, no. 1, p. 12043, doi: 10.1088/1757-899X/827/1/012043.
  25. J. C. Anderson and D. W. Gerbing, “Structural equation modeling in practice: A review and recommended two-step approach.,” Psychological bulletin, vol. 103, no. 3, pp. 411–423, 1988, doi: 10.1037/0033-2909.103.3.411.
  26. L. Mendes and J. MacHado, “Employees skills, manufacturing flexibility and performance: A structural equation modelling applied to the automotive industry,” International Journal of Production Research, vol. 53, no. 13, pp. 4087–4101, 2015, doi: 10.1080/00207543.2014.993772.
  27. A. Belhadi, F. E. Touriki, and S. El Fezazi, “Prioritizing the solutions of lean implementation in SMEs to overcome its barriers: An integrated fuzzy AHP-TOPSIS approach,” Journal of Manufacturing Technology Management, vol. 28, no. 8, pp. 1115–1139, 2017, doi: 10.1108/JMTM-10-2018-0337.
  28. N. T. Putri, S. M. Yusof, A. Hasan, and H. S. Darma, “A structural equation model for evaluating the relationship between total quality management and employees’ productivity,” International Journal of Quality and Reliability Management, vol. 34, no. 8, pp. 1138–1151, 2017, doi: 10.1108/IJQRM-10-2014-0161.
  29. E. Sadikoglu and C. Zehir, “Investigating the effects of innovation and employee performance on the relationship between total quality management practices and firm performance: An empirical study of Turkish firms,” International Journal of Production Economics, vol. 127, no. 1, pp. 13–26, 2010, doi: 10.1016/j.ijpe.2010.02.013.
  30. R. B. Kline and D. A. Santor, Principles & practice of structural equation modelling, vol. 40, no. 4. Canadian Psychological Association, 1999.
  31. C. Violato and K. G. Hecker, “How to use structural equation modeling in medical education research: A brief guide,” Teaching and learning in medicine, vol. 19, no. 4, pp. 362–371, 2007, doi: 10.1080/10401330701542685.
  32. S. Ambekar and M. Hudnurkar, “Factorial structure for six sigma project barriers in Indian manufacturing and service industries,” The TQM Journal, vol. 29, no. 5, pp. 744–759, 2017, doi: 10.1108/TQM-02-2017-0021.
  33. J. Antony, M. Kumar, and C. N. Madu, “Six sigma in small‐and medium‐sized UK manufacturing enterprises: Some empirical observations,” International journal of quality & reliability management, vol. 22, no. 8, pp. 860–874, 2005, doi: 10.1108/02656710510617265.
  34. E. Psomas, “The underlying factorial structure and significance of the Six Sigma difficulties and critical success factors,” The TQM Journal, vol. 28, no. 4, pp. 530–546, Jan. 2016, doi: 10.1108/TQM-04-2015-0049.
  35. A. Raghunath and R. V Jayathirtha, “Barriers for implementation of six sigma by small and medium enterprises,” International Journal of Advancements in Research & Technology, vol. 2, no. 2, pp. 1–7, 2013.
  36. R. J. Hilton and A. Sohal, “A conceptual model for the successful deployment of Lean Six Sigma,” International Journal of Quality & Reliability Management, vol. 29, no. 1, pp. 54–70, Jan. 2012, doi: 10.1108/02656711211190873.
  37. P. Alexander, J. Antony, and B. Rodgers, “Lean Six Sigma for small- and medium-sized manufacturing enterprises: a systematic review,” International Journal of Quality & Reliability Management, vol. 36, no. 3, pp. 378–397, Jan. 2019, doi: 10.1108/IJQRM-03-2018-0074.
  38. A. Moeuf, S. Tamayo, S. Lamouri, R. Pellerin, and A. Lelievre, “Strengths and weaknesses of small and medium sized enterprises regarding the implementation of lean manufacturing,” IFAC-PapersOnLine, vol. 49, no. 12, pp. 71–76, 2016, doi: 10.1016/j.ifacol.2016.07.552.
  39. M. Kumar, J. Antony, R. K. Singh, M. K. Tiwari, and D. Perry, “Implementing the Lean Sigma framework in an Indian SME: a case study,” Production Planning and Control, vol. 17, no. 4, pp. 407–423, 2006, doi: 10.1080/09537280500483350.
  40. J. Antony, “Can Six Sigma be effectively implemented in SMEs?,” International Journal of Productivity and Performance Management, vol. 57, no. 5, pp. 420–423, Jan. 2008, doi: 10.1108/17410400810881863.
  41. S. Albliwi, J. Antony, S. Abdul Halim Lim, and T. van der Wiele, “Critical failure factors of Lean Six Sigma: a systematic literature review,” International Journal of Quality & Reliability Management, vol. 31, no. 9, pp. 1012–1030, Jan. 2014, doi: 10.1108/IJQRM-09-2013-0147.
  42. P. Achanga, E. Shehab, R. Roy, and G. Nelder, “Critical success factors for lean implementation within SMEs,” Journal of Manufacturing Technology Management, vol. 17, no. 4, pp. 460–471, Jan. 2006, doi: 10.1108/17410380610662889.