Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Productivity” in the modern era has become a common term in any sector. Increasing productivity and better use of human and other resources have become a basic need for the development and survival of any organisation. Similarly, in the industrial sector, it holds a very important place. For the enhancement of productivity, targeting the processes and various operations/activities underlying those processes is one of the best ways. This can be achieved by the reduction in non-value-added activities and by developing time standards for the improvement of the processes. Various work measurement techniques can be used to analyse the time being used to perform an operation and critical analysis of them can help in deciding the standard time for a single operation. This study was done to determine the effects of these work measurement techniques on an operation. The study uses detailed activity analysis techniques like micro-motion study and for setting time standards it uses a predetermined motion time systems (PMTS) technique called Maynard Operation Sequence Technique (MOST).
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Nitish Kumar. 2026. \u201cOptimisation of Manufacturing Processes with the Help of Work Measurement Techniques (MOST) – A Case Study\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 22 (GJRE Volume 22 Issue J3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: India
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Nitish Kumar, Aditya Raj (PhD/Dr. count: 0)
View Count (all-time): 263
Total Views (Real + Logic): 1672
Total Downloads (simulated): 27
Publish Date: 2026 01, Fri
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