IoT based Data-Driven Methodology for Real Time Production Optimization and Supply Chain Visibility in Smart Manufacturing and Logistics

Abstract

This research looks at how data methods and IoT technologies can be used effectively for planning and improving supply chain transparency. It seeks to explain the importance of measurements namely cycle time, lead time, on-time delivery, inventory turns, and fill rate. Analyzing the company objectives and requirements based on the identified ones, the study underscores the paramount importance of KPI visualization in helping the users comprehend organizational processes and seek improvement. The study also explores how the effectiveness of the IoT infrastructure is assessed and how the IoT devices are chosen and subsequently deployed for strategic purposes and the building of real-time data acquisition systems. In addition, the article also covers the approaches with regard to data acquisition and assimilation; more focus is given to the understanding of the performance of the machine, conditions of the environment, and the logistical aspects by means of data visualization of the IoT. The study also emphasizes data quality governance mechanisms to ensure the accuracy and comprehensiveness of IoT data, and thus make people more confident in data reliability.