Application of Lean Six Sigma to Reduce Delays in Engineering Changes

Quality methodologies have provided improvements for the organizations, increasing their competitive nature. Therefore, the present article was developed toward the reduction in the incidence of delays while developing engineering changes in an agricultural machine factory through the application of...

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Bibliographic Details
Published in:IEEE transactions on engineering management 2024, Vol.71, p.2786-2799
Main Authors: do Nascimento, Felipe Rodrigues, dos Santos, Aline Goncalves, da Fonseca Junior, Lazaro Antonio, Nunes, Deivid Marques
Format: Article
Language:English
Subjects:
Agricultural engineering
Brainstorming
Business competition
Cause & effect diagrams
Cause effect analysis
Companies
Delays
DMAIC
Engineering
engineering changes
Just in time
Lean manufacturing
Multitasking
Organizations
Process control
Process mapping
Six Sigma
Sociology
Statistical analysis
Statistical tests
Warranties
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Summary:Quality methodologies have provided improvements for the organizations, increasing their competitive nature. Therefore, the present article was developed toward the reduction in the incidence of delays while developing engineering changes in an agricultural machine factory through the application of Lean Six Sigma concepts. An engineering change consists of a multitasking process for a product change. The article stages were developed following the sequence proposed by the DMAIC methodology. Several tools associated with Lean Six Sigma, such as process mapping, Ishikawa diagram, brainstorming, and Kanban were used in this article. Also, statistical tests were carried out to check the consistency of the goals established by the organization regarding the deadline for carrying out the analyzed tasks and for proposing new goals. The development of this article allowed the identification and elimination of root causality which culminated in delays during the implementation of engineering changes, and in turn, reduced the incidence of delays by 95%. The article shows the importance of companies applying scientific methodologies and statistical analysis in their processes to improve their results. Finally, it contributes to the scientific community, exposing an adaptation of tools and showing that the implementation of a set of management tools can contribute to process improvements.
ISSN:0018-9391
1558-0040
DOI:10.1109/TEM.2022.3199388