Abstract

Big data analytics plays a pivotal role in optimizing manufacturing processes within the Internet of Things (IoT) ecosystem. By leveraging extensive datasets generated from IoT devices, manufacturers can gain critical insights into system performance, streamline production workflows, and enhance predictive maintenance efforts. These advancements lead to reduced operational costs and increased productivity. However, the integration of big data analytics also brings challenges such as data management complexity, high implementation costs, and ensuring data accuracy and security. This abstract reviews the dual facets of utilizing big data analytics in IoT manufacturing, emphasizing both the significant advantages and the hurdles that must be addressed to achieve effective implementation.

Keywords: Big data analytics, Internet of things (IoT), Manufacturing optimization, Predictive maintenance, Data security challenges