Way out of the supply crises through risk minimisation – metrological comparison of two polypropylene materials and examination with Six Sigma methods
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: International Journal of Productivity and Quality Management, Jahrgang 46, Nr. 4, 2025, S. 458-480.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Way out of the supply crises through risk minimisation – metrological comparison of two polypropylene materials and examination with Six Sigma methods
AU - Engler, Carsten
AU - Georgiadis, Anthimos
AU - Lange, Dirk
AU - Meier, Nicolas
N1 - Publisher Copyright: Copyright © 2025 Inderscience Enterprises Ltd.
PY - 2025
Y1 - 2025
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 - green/environmental productivity
KW - metrological comparison
KW - recycled material
KW - risk management
KW - Six Sigma management
KW - supply chain quality management
KW - sustainable development
KW - Engineering
UR - https://www.scopus.com/pages/publications/105027172694
U2 - 10.1504/IJPQM.2025.150885
DO - 10.1504/IJPQM.2025.150885
M3 - Journal articles
AN - SCOPUS:105027172694
VL - 46
SP - 458
EP - 480
JO - International Journal of Productivity and Quality Management
JF - International Journal of Productivity and Quality Management
SN - 1746-6474
IS - 4
ER -