Searched over 200M research papers
10 papers analyzed
These studies suggest that stability in production manufacture can be achieved through autonomous decision-making, discrete event simulation, nonidling-nonexceeding policies, sensitivity analysis, and regulatory guidance, while addressing factors like machine failure and dynamic control methods.
20 papers analyzed
Stability in production manufacturing is crucial for ensuring efficiency, quality, and long-term competitiveness. This synthesis explores various approaches and methodologies for analyzing and enhancing stability in different manufacturing contexts, including automotive, flexible manufacturing systems, and pharmaceutical production.
Mathematical and Simulation Approaches for Stability Analysis:
Indicators and Performance Measures:
Control Methods and Policies:
Flexibility and Variability Management:
Reliability and Hazard Function Analysis:
Pharmaceutical Product Stability:
Stability in production manufacturing is multifaceted, involving mathematical modeling, simulation, control methods, and adherence to regulatory guidelines. Key strategies include using indicators and performance measures, implementing dynamic control methods, managing variability, and conducting thorough stability studies. These approaches collectively ensure that manufacturing processes remain efficient, reliable, and capable of meeting quality standards.
Most relevant research papers on this topic
The ethics of data mining and personal privacy in the digital age.
How can I address the psychological impact of chronic skin conditions?
Can artificial intelligence detect cyber-attacks?
definition of stress
at what age does your iq stop increasing
How often should I be screened for breast/prostate cancer?