Leveraging Sensor Data Repository in IoT-Enabled Lean Manufacturing: A Window Manufacturer Case Study

Integrating IoT (Internet of Things) technologies and Lean principles is essential to obtaining operational excellence in a competitive manufacturing landscape. This case study presents a conceptual framework of IoT sensor implementation on the machines across one of the production lines of a local window manufacturing company. It delves into the creation of a real-time data dashboarding system in the industry leveraging IoT and Lean methodologies. The process begins with identifying machine variables that need to be measured, offering a comprehensive view of the production process. This system enables real-time data acquisition from the sensors strategically placed on the machines, capturing critical process variables. It involves breaking down the various aspects of the process into more detailed elements. This data is then stored in a robust repository in the cloud, ensuring its integrity and accessibility for further analysis through data dashboarding. Real-time monitoring enables agile responses to changing conditions on the shop floor of a manufacturing facility. The centralization of this information serves as a foundation for comprehensive analysis, empowering decision-makers with insights to drive continuous improvement. The study highlights how this integration aids in minimizing downtime, improving overall equipment efficiency, and ensuring the delivery of high-quality window products. Implementing this synergistic approach leveraging IoT and Lean principles promises substantial gains in overall output, waste reduction, and operational efficiency, paving the way for sustainable, data-driven excellence in the industry.