Development Of Artificial Intelligence Module For Pharmaceutical Manufacturing Plant With Continuous Leakage Monitoring And Self Healing Surface System -- Contribution To Industry 6.0

ABSTRACT

As a post-Covid-19 pandemic, many things came up with new requirements because of frequent lockdowns and social distancing constraints. Hence, many pharmaceutical industries and manufacturing units are looking for automated solutions. In the era of Industry 5.0, non-conventional machining processes are on the verge of Industry 6.0 with inclusion of artificial intelligence, deep learning and automated processes for additive or subtractive machining requirements. Non-conventional machining is in practice worldwide;however, it is required to support these kinds of manufacturing processes with remote automation, monitoring and auto-fault clearance methods. Pharmaceutical, chemical and hazardous plant handling is one of the major problems in industries throughout the world. Hence, this paper presents the automated continuous monitoring system using artificial intelligence, which can be a human machine interfacing module with a strategy to clear leakage fault automatically. This paper also discusses the various implications in conventional and non-conventional machining processes and also suggests the next generation hybrid machining system as a future scope of the research. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)