Implementation of Lean Manufacturing for Defect Reduction and Sustainable Production in the Metal Casting Industry: A Systematic Literature Review and Bibliometric Analysis

Open Access

Issue		E3S Web Conf. Volume 706, 2026 3^rd International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2025)


Article Number		02010
Number of page(s)		10
Section		Engineering and Technology
DOI		https://doi.org/10.1051/e3sconf/202670602010
Published online		21 April 2026

D. Lehmhus, “Advances in Metal Casting Technology: A Review of State of the Art, Challenges and Trends—Part II: Technologies New and Revived,” Mar. 01, 2024, Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/met14030334. [Google Scholar]
R. S. Barot, J. Patel, B. Sharma, B. Rathod, H. Solanki, and Y. Patel, “Lean six sigma feasibility and implementation aspect in cast iron foundry,” Mater. Today Proc., vol. 28, pp. 1084–1091, 2020, doi: 10.1016/j.matpr.2020.01.087. [Google Scholar]
R. Pathania, V. Sharma, and A. Gupta, “Leveraging Lean Six Sigma: Reducing defects and improving productivity in SMEs,” Small and medium metal casting industries, India. doi: 10.1016/j.matpr.2021.03.535. [Google Scholar]
T. Ohno, Toyota production system: beyond large-scale production. Productivity Press. doi: 10.4324/9780429273018. [Google Scholar]
P. Hines, M. Holweg, and N. Rich, “Learning to evolve: A review of contemporary lean thinking,” International Journal of Operations & Production Management, vol. 24, no. 10, pp. 994–1011, 2004, doi: 10.1108/01443570410558049. [Google Scholar]
P. C. Oprime, J. Costa, and L. Ferreira, “Defect reduction using DMAIC and Lean Six Sigma: A case study at a car parts supplier,” Automotive components manufacturing, Brazil. doi: 10.1108/IJQRM-05-2022-0157. [Google Scholar]
S. Saetta and V. Caldarelli, “Lean production as a tool for green production: The Green Foundry case study,” in Procedia Manufacturing, Elsevier B.V., 2020, pp. 498–502. doi: 10.1016/j.promfg.2020.02.042. [Google Scholar]
M. A. Khan, M. K. Ali, and M. Sajid, “Lean implementation framework: a case of performance improvement of casting process,” IEEE Access, vol. 10, pp. 81281–81295, 2022, doi: 10.1109/ACCESS.2022.3194064. [Google Scholar]
G. C. P. Condé, P. C. Oprime, M. L. Pimenta, J. E. Sordan, and C. R. Bueno, “Defect reduction using DMAIC and Lean Six Sigma: a case study in a manufacturing car parts supplier,” International Journal of Quality and Reliability Management, vol. 40, no. 9, pp. 2184–2204, Oct. 2023, doi: 10.1108/IJQRM-05-2022-0157. [Google Scholar]
P. Kumar, D. Singh, and J. Bhamu, “Development and validation of DMAIC based framework for process improvement: a case study of Indian manufacturing organization,” International Journal of Quality & Reliability Management, vol. 38, no. 9, pp. 1964–1991, 2021, doi: 10.1108/IJQRM-10-2020-0332. [Google Scholar]
F. Psarommatis and G. Bravos, “A holistic approach for achieving Sustainable manufacturing using Zero Defect Manufacturing: a conceptual Framework,” in Procedia CIRP, Elsevier B.V., 2022, pp. 107–112. doi: 10.1016/j.procir.2022.04.018. [Google Scholar]
J. Bhamu and K. S. Sangwan, “Lean manufacturing: Literature review and research issues,” International Journal of Operations & Production Management, vol. 34, no. 7, pp. 876–940, 2014, doi: 10.1108/IJOPM-08-2012-0315. [Google Scholar]
G. Ramesh and N. S. Reddy, “Implementation of lean tools in foundry industry to reduce defects and improve productivity,” Mater. Today Proc., vol. 18, no. 5, pp. 2601–2607, doi: 10.1016/j.matpr.2019.07.266. [Google Scholar]
J. E. Sordan, P. C. Oprime, M. L. Pimenta, P. Chiabert, and F. Lombardi, “Lean Six Sigma in manufacturing process: a bibliometric study and research agenda,” The TQM Journal, vol. 32, no. 3, pp. 381–399, 2020, doi: 10.1108/TQM-08-2019-0207. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.