The performance improvement analysis using Six Sigma DMAIC methodology: A case study on Indian manufacturing company
The six-sigma methodology has been adopted by the industry as a business management
tool to improve operational capabilities and reduce defects in any process. This study aims …
tool to improve operational capabilities and reduce defects in any process. This study aims …
Briquetting process optimization of poultry litter and urban wood waste
HMP Marreiro, RS Peruchi, RMBP Lopes, PR Junior - Renewable Energy, 2024 - Elsevier
Urban wood waste and poultry litter are solid wastes with potential for energy generation. A
well-modeled briquetting process can be used to find an ideal relationship between the …
well-modeled briquetting process can be used to find an ideal relationship between the …
Application of fuzzy TOPSIS and harmonic mitigation measurement on lean six sigma: A case study in smart factory
Customers' requirements for product quality are increasing and more and more
manufacturing companies are improving the quality of processing conditions at each …
manufacturing companies are improving the quality of processing conditions at each …
Multivariate six sigma: A case study in industry 4.0
D Palací-López, J Borràs-Ferrís, LT da Silva de Oliveria… - Processes, 2020 - mdpi.com
The complex data characteristics collected in Industry 4.0 cannot be efficiently handled by
classical Six Sigma statistical toolkit based mainly in least squares techniques. This may …
classical Six Sigma statistical toolkit based mainly in least squares techniques. This may …
The development of an excellence model integrating the Shingo model and sustainability
Companies are continuously looking to improve their production systems using excellence
models, with lean thinking, the Shingo model, six sigma and lean six sigma being the most …
models, with lean thinking, the Shingo model, six sigma and lean six sigma being the most …
Prognostics and health management of rotating machinery via quantum machine learning
Prognostics and Health Management (PHM) concerns predicting machines' behavior to
support maintenance decisions through failure modes diagnosis and prognosis. Diagnosis …
support maintenance decisions through failure modes diagnosis and prognosis. Diagnosis …
Multivariate process capability analysis with decision-maker preferences
MC Almeida, LG Oliveira, PR Junior… - Computers & Industrial …, 2024 - Elsevier
A process capability analysis is an invaluable technique for assessing the efficacy of a
system by determining its alignment with customer expectations. In the context of a …
system by determining its alignment with customer expectations. In the context of a …
Improving sigma level of galvanization process by zinc over-coating reduction using an integrated Six Sigma and design-of-experiments approach
The hot-dip batch galvanization (HDBG) process is one of the most popular and widely used
techniques of galvanization and a prime consumer of 50% of zinc produced annually. An …
techniques of galvanization and a prime consumer of 50% of zinc produced annually. An …
Multivariate six sigma: A key improvement strategy in industry 4.0
A Ferrer - Quality Engineering, 2021 - Taylor & Francis
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Enhancing manufacturing excellence with Lean Six Sigma and zero defects based on Industry 4.0.
Improving quality, enhancing productivity, redesigning machining tools, eliminating waste in
production, and shortening lead time are all objectives aimed at improving customer …
production, and shortening lead time are all objectives aimed at improving customer …