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Application of lean Six Sigma methodology using DMAIC approach for the improvement of bogie assembly process in the railcar industry.

Authors :
Daniyan I
Adeodu A
Mpofu K
Maladzhi R
Kana-Kana Katumba MG
Source :
Heliyon [Heliyon] 2022 Mar 05; Vol. 8 (3), pp. e09043. Date of Electronic Publication: 2022 Mar 05 (Print Publication: 2022).
Publication Year :
2022

Abstract

The quest for waste reduction, quality improvement and operational efficiency during the assembly process of the railcar bogie necessitates this study. Using a case study approach, this study employs the Lean Six Sigma (LSS) approach for process improvement of the railcar bogie assembly process. Primary data relating to the assembly process such as the labour and material flow, up and down times were collected at every stage of the assembly operation. The improvement process of the assembly process featured the use of some Lean tools such as the Kaizen, Value Stream Mapping, Pareto chart, Single-Minute Exchange of Die (SMED) and 5S. The investigation of the current assembly process with the use of the LSS technique indicates that the process efficiency is low due to waste generation. The results obtained showed significant improvement in the process cycle efficiency (PCE) by 46.8%, via the implementation of the Kaizen continuous process improvement approach, 27.9% reduction in the lead-time, 59.3% increase in the value added time and 71.9% reduction in the non-value added time after the implementation of the LSS approach. The findings of this work demonstrated the feasibility of the LSS approach for waste minimisation and process performance improvement in a bid to achieve operational excellence in a manufacturing organisation.<br />Competing Interests: The authors declare no conflict of interest.<br /> (© 2022 The Author(s).)

Details

Language :
English
ISSN :
2405-8440
Volume :
8
Issue :
3
Database :
MEDLINE
Journal :
Heliyon
Publication Type :
Academic Journal
Accession number :
35287321
Full Text :
https://doi.org/10.1016/j.heliyon.2022.e09043