Way out of the Supply Crises through Risk Minimization - Metrological Comparison of two Polypropylene Materials and Examination with Six Sigma Methods
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In: International Journal of Productivity and Quality Management, 2023.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Way out of the Supply Crises through Risk Minimization - Metrological Comparison of two Polypropylene Materials and Examination with Six Sigma Methods
AU - Engler, Carsten
AU - Georgiadis, Anthimos
AU - Lange, Dirk
AU - Meier, Nicolas
PY - 2023
Y1 - 2023
N2 - The supply crisis has affected social life in almost all sectors. A supply crisis can be avoided or reduced significantly by employing a risk analysis and derived measures as a part of quality management. The present paper researches two polypropylene materials. The aim of this study is to provide answers and possibilities on how to reduce the risk of material shortage in the plastics industry without having to adapt the moulding tool and the process parameters of the injection moulding machine. This metrological study was executed with ultrasonic sensor housings of the automotive industry. To interpret the results accurately, two approaches are in pursuit, technical relevancy, and statistical significance. Both will be described in detail, with the contemplation and interpretation of the results. The statistical significance, as a method of the Six Sigma toolbox, employs the 95% confidence level, the null-hypothesis and the t-test.
AB - The supply crisis has affected social life in almost all sectors. A supply crisis can be avoided or reduced significantly by employing a risk analysis and derived measures as a part of quality management. The present paper researches two polypropylene materials. The aim of this study is to provide answers and possibilities on how to reduce the risk of material shortage in the plastics industry without having to adapt the moulding tool and the process parameters of the injection moulding machine. This metrological study was executed with ultrasonic sensor housings of the automotive industry. To interpret the results accurately, two approaches are in pursuit, technical relevancy, and statistical significance. Both will be described in detail, with the contemplation and interpretation of the results. The statistical significance, as a method of the Six Sigma toolbox, employs the 95% confidence level, the null-hypothesis and the t-test.
KW - Management studies
KW - risk management
KW - sustainable development
KW - green/environmental productivity
KW - supply chain quality management
KW - Six Sigma management
KW - recycled material
KW - metrological comparison
UR - https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijpqm
UR - https://www.mendeley.com/catalogue/f68ba234-133c-3c4b-ab87-45278eee1bbe/
U2 - 10.1504/IJPQM.2023.10060471
DO - 10.1504/IJPQM.2023.10060471
M3 - Journal articles
JO - International Journal of Productivity and Quality Management
JF - International Journal of Productivity and Quality Management
SN - 1746-6474
ER -