Conveners
Industrial process innovation and monitoring via statistics
- Diego Zappa (Università Cattolica del Sacro Cuore - Milan)
Nowadays, physical experimentation for some complex engineering and technological processes appears too costly or, in certain circumstances, impossible to be performed. In those cases, computer experiments are conducted in which a computer code is run to depict the physical system under study. Specific surrogate models are used for the analysis of computer experiments functioning as...
This contribution is a joint work of academicians and a research group of a leading industry in semiconductor manufacturing. The problem under investigation refers to a predictive maintenance manufacturing system. Zonta et al. (2020) present a systematic literature review of initiatives of predictive maintenance in Industry 4.0. According to Mobley (2002) industrial and process plants...
See the PDF abstract.