ENHANCING CONFORMANCE OF INJECTION BLOW MOLDING BY INTEGRATING MACHINE LEARNING MODELING AND TAGUCHI PARAMETER DESIGN

DOI10.17654/AS053050519zbMath1423.62163OpenAlexW2901308645WikidataQ128915073 ScholiaQ128915073MaRDI QIDQ5229473

Safwan A. Altarazi

Publication date: 15 August 2019

Published in: Advances and Applications in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17654/as053050519

zbMATH Keywords

Taguchi parameter designprocess parameters optimizationinjection blow moldingmachine learning modeling

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05) Applications of statistics to physics (62P35) Robust parameter designs (62K25)

Uses Software

• Orange

Cites Work

• Designing and analyzing a mixture experiment to optimize the mixing proportions of polyvinyl chloride composites
• Discovering Knowledge in Data
• Unnamed Item

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