The modem era of big data offers new opportunities for manufacturing. Programs for systematically reducing manufacturing variation and improving quality are firmly established in industry. However, the vast majority of tools were designed decades ago for use with limited amounts of data with a relatively simple structure. As production rates and design complexity increase, there is a need for research focusing on new reliability models and analysis tools that can assist in the manufacture and maintenance of these evolving devices. Accordingly, this research can offer fundamentally new insights on the application of reliability analyses for technologies that have unique manufacturing challenges. Researchers and practitioners rely on mathematical models to study and prepare for epidemiological events such as pandemic disease outbreaks.
|Original language||English (US)|
|Number of pages||3|
|State||Published - 2014|
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
- Computer Science Applications