Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Edson Ruschel"'
Autor:
Edson Ruschel, Denise Maria Vecino Sato, Edson Emilio Scalabrin, Eduardo de Freitas Rocha Loures, Eduardo Alves Portela Santos
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27884b31cc4892629085af08ad0a8686
https://doi.org/10.2139/ssrn.4118114
https://doi.org/10.2139/ssrn.4118114
Publikováno v:
Journal of Intelligent Manufacturing. 31:53-72
Reducing costs and increasing equipment availability (uptime) are among the main goals of industrial ventures. Well defined interval durations between maintenance inspections provide major support in achieving these targets. However, in order to esta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23caa15dfe926f41a7f0e70e41f50783
https://doi.org/10.1007/s10845-018-1434-7
https://doi.org/10.1007/s10845-018-1434-7
Publikováno v:
Journal of Manufacturing Systems. 45:180-194
The increasing competition among industries has leveraged the emergence of various tools and methods for maintenance decision-making support. This paper identifies in literature the application areas of industrial maintenance decision-making, the rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c1915edadca01bc84e6a31a6bf72ef
https://doi.org/10.1016/j.jmsy.2017.09.003
https://doi.org/10.1016/j.jmsy.2017.09.003
Publikováno v:
Procedia Manufacturing. 11:1127-1134
Well-defined intervals between preventive maintenance inspections help increase the availability of process equipment. This work integrates probabilistic and predictive models constructed from event logs information, through process mining techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e2755426d37a10ebd562329cb52f66
https://doi.org/10.1016/j.promfg.2017.07.234
https://doi.org/10.1016/j.promfg.2017.07.234
Publikováno v:
Computers & Industrial Engineering. 151:106972
Among the biggest challenges in manufacturing, we can mention the difficulty of locating points that most impact performance; and predict the time required to perform certain tasks. This paper presents a new approach for completion time prediction an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73e6946b1c22a129b632196eb6f0c18
https://doi.org/10.1016/j.cie.2020.106972
https://doi.org/10.1016/j.cie.2020.106972