SMART MANUFACTURING EXECUTION SYSTEM: REVOLUTIONIZING INDUSTRY WITH IOT AND AI (MODULE: FULL STACK WEBSITE)

Abstract

Easy access to information plays a crucial role in daily life, especially in industrial and manufacturing environments. In this area, engineers rely on a machine's data because it provides them with information about behavior, status changes, or detected anomalies, and allows them to take immediate action. When this information is not readily available—especially if engineers have to manually check the machine or frequently

monitor the computer in the office to check if there's an anomaly—it becomes time- consuming and inefficient, particularly if they are away from the computer. These delays

can negatively affect productivity and overall efficiency. Therefore, having a system that enables quick access to real-time machine data and alert retrieval is essential to support engineers' decision-making and improve response time, especially in critical situations. Building a MES can be one of the solutions. Utilizing a web-based application allows the user to easily get information about a machine, with automatic scheduling and notifications. Web programming has advanced over time. Utilizing this advancement, creating a solution such as a web-based Manufacturing Execution System (MES) platform can be useful to overcome this challenge. The integration of an automation system into the platform also allows users, particularly engineers and supervisors, to access important machine information and receive timely alerts through a centralized and user-friendly interface. In this project, a modular MES web application was developed using Flask as the framework. The access control system implemented so that users can only access features permitted by their role—for example, Admins can manage user accounts, while Supervisors and Technicians have restricted access based on responsibilities. To support

quick response in critical situations, the platform includes a real-time alerting mechanism that notifies users of important events such as machine anomalies or value changes. These alerts are delivered through both the web interface and Telegram, with specific notifications sent directly to targeted users based on their roles. This integration enables technicians and supervisors to stay informed and take action even when they are not actively monitoring the system. The findings of this project highlight how a modular MES platform can serve as a valuable tool for manufacturers who need real-time access to operational data. By automating reporting and integrating notification systems, the platform enhances both visibility and responsiveness, ultimately contributing to increased productivity and operational efficiency in manufacturing environments.