Reducing the Number of Quality Defects in a Packaging Film Manufacturing Process using IoT Sensor Data
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2018 by IJETT Journal | ||
| Volume-59 Number-3 |
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| Year of Publication : 2018 | ||
| Authors : Aditya Milind Sane, Sudhir Madhav Patil |
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| DOI : 10.14445/22315381/IJETT-V59P222 |
Citation
Aditya Milind Sane, Sudhir Madhav Patil"Reducing the Number of Quality Defects in a Packaging Film Manufacturing Process using IoT Sensor Data", International Journal of Engineering Trends and Technology (IJETT), V59(3),127-129 May 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The use of IoT sensor data in a manufacturing process helps gain deep insights from the real time data generated from the machine. This paper explores the use of exploratory data analysis on 5 parameters in a machine to reduce the number of quality defects, thus reducing the losses suffered by the manufacturer.
Reference
[1] A. Kanawaday, A. Sane, “Machine Learning for Predictive Maintenance of Industrial Machines using IoT Sensor Data,” Proceedings of the 2017 International Conference on Software Engineering and Service Science - ICSESS 17
Keywords
Data analysis, Productivity, Quality