IJBTT

IoT-Driven Real-Time Data Collection and Analysis for Lean Manufacturing
	© 2024 by IJCTT Journal
	Volume-72 Issue-6
	Year of Publication : 2024
	Authors : Karthik Raj Kumar Yesodha, Vigneshwaran Gowrishankar
	DOI :  10.14445/22312803/IJCTT-V72I6P120

How to Cite?

Karthik Raj Kumar Yesodha, Vigneshwaran Gowrishankar, "IoT-Driven Real-Time Data Collection and Analysis for Lean Manufacturing," International Journal of Computer Trends and Technology, vol. 72, no. 6, pp. 151-159, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I6P120

Abstract
Internet of Things (IoT) offers a great opportunity for manufacturers to optimize their production process. With the use of IoT, manufacturers can now collect and analyze real-time data from various points across the manufacturing process, empowering them to make proactive and informed decisions, leading to improved process efficiency and productivity. This data can be used to identify and diagnose outliers, understand their root causes, and develop strategies to rectify them. This realtime data also allows manufacturers to adjust the production process in real time in order to reuse resources and minimize waste. The collected data can also be used to monitor product quality, predict machinery service requirements, and automate production line operations, increasing operation efficiency and safety. The use of IoT in lean manufacturing holds tremendous potential for optimizing production and achieving greater cost savings. Moreover, real-time data collection and analysis allow manufacturers to become more agile and reactive to changing customer needs and market conditions.

Keywords
IoT, Manufacture, Production, Decision, Efficiency, Productivity.

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