Developing a smart factory framework a case of ceramic tile manufacturing

Abstract

This research paper presents a framework for smart factory applications in ceramic manufacturing, harnessing data collection and machine learning algorithms to seamlessly align with the demands of Industry 4.0 and facilitate digital transformation. At its core, the framework is exemplified through the creation of a dynamic web application, consisting of three pivotal modules. The first module encompasses a robust database system for efficient storage and visualization of data from Internet of Things (IoT) devices. The second module orchestrates operational facets, encompassing aggregate planning, predictive maintenance, and quality control. The third module extends its purview to business and finance, adeptly forecasting demand patterns and streamlining payroll management. This multidimensional endeavor is underpinned by overcoming diverse challenges, spanning data governance, interoperability, fortification of information, and scalability.

Keywords

• smart factory application
• ceramic tile faults detection
• operation management