Reducing the Number of Quality Defects in a Packaging Film Manufacturing Process using IoT Sensor Data

Aditya Milind Sane; Sudhir Madhav Patil

doi:https://doi.org/10.14445/22315381/IJETT-V59P222

Research Article | Open Access | Download PDF

Volume 59 | Number 1 | Year 2018 | Article Id. IJETT-V59P222 | DOI : https://doi.org/10.14445/22315381/IJETT-V59P222

Reducing the Number of Quality Defects in a Packaging Film Manufacturing Process using IoT Sensor Data

Aditya Milind Sane, Sudhir Madhav Patil

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), vol. 59, no. 1, pp. 127-129, 2018. Crossref, https://doi.org/10.14445/22315381/IJETT-V59P222

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.

Keywords

Data analysis, Productivity, Quality

References

[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