Paper Title :Continuous Monitoring and Control of a Production Process using Predictive Analytics

Author :Saad Bashir Alvi, Johannes Gottschling

Article Citation :Saad Bashir Alvi ,Johannes Gottschling , (2019 ) " Continuous Monitoring and Control of a Production Process using Predictive Analytics " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 43-49, Volume-7,Issue-6

Abstract : Keeping a running production process in a proper working state requires continuous monitoring, anticipating potential problems in advance, looking for possible solutions to avoid these problems and selecting the most cost-effective solution among the choices. This work shows a solution approach, to the mentioned requirements using Machine Learning techniques, composed of three phases: a learning phase, a knowledge generation phase and a monitoring and control phase. Our approach, which is based on using a well-trained composite Machine Learning model to generate a sufficiently large database of pre computed prediction values, provides a method to reduce product defects, unplanned downtimes, energy consumption, CO2 emissions, and to increase the production speed and precision. Keywords - Casting, Machine Learning, Metal forming, Predictive Analytics.

Type : Research paper

Published : Volume-7,Issue-6

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