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Impact of Automation in Pharmaceutical Industry on Roles and Responsibilities of Quality Assurance: A Review
Author(s) -
Hemanth Kumar S,
Thomas George Palamattathkuttiyil,
Shailesh Thirumaleshwar,
Mysore Prakash Gowrav
Publication year - 2020
Publication title -
international journal of pharmaceutical quality assurance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.114
H-Index - 7
ISSN - 0975-9506
DOI - 10.25258/ijpqa.11.1.26
Subject(s) - automation , quality assurance , pharmaceutical industry , audit , quality (philosophy) , manufacturing engineering , engineering management , emerging technologies , risk analysis (engineering) , computer science , process management , business , operations management , engineering , medicine , accounting , mechanical engineering , philosophy , external quality assessment , epistemology , artificial intelligence , pharmacology
What is Automation? Automation is the implementation of machines to carry out most of the repeatable and important functions in pharmaceutical industries. The industries have been developing at a greater pace, and in the case of the pharmaceutical industries, it’s nothing different. The regulatory requirements are getting stricter than before.1 Automated functions can help industrial management in keeping up with the ever-changing regulatory constraints. The tradition of implementing newer technologies that replace human power has been taking place in various industries across the world for many years now. Work unions and other communities have always been against this tradition as the latest technologies can always have a major impact on job opportunities in the industries.2 Lately, the use of computer vision systems for quality assurance purposes has noticeably increased. As a result, human inspectors could be replaced by these systems. The advances in both computer hardware and software technologies has led to many significant advances.3 This technology provides a greater level of flexibility and repeatability at relatively low costs. This permits higher plant throughput without compromising with the quality of products. Currently, these systems are being developed as an integral part of pharmaceutical processing plants for online and real-time quality evaluation.4

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