Analysis, Design, and Implementation of Full Automation in an Industrial System for Functional Optimization and Vertical Integration

Industrial automation and digital fabrication are rapidly evolving from specialized manufacturing solutions into accessible and flexible technologies capable of supporting customized, high-quality production. Advances in modular robotics, open-source hardware, machine vision, and intelligent control systems have significantly lowered the barriers to deploying automated fabrication systems. However, despite the increasing affordability of industrial hardware, the complexity of system configuration, control, and integration remains a major challenge for non-expert users, limiting creative exploration and wider adoption. This thesis presents an in-depth analysis and implementation of a fully automated industrial system with a focus on functional optimization and vertical integration. The work investigates how plant automation systems can be designed to support intuitive human machine interaction, computer-aided physical fabrication, and collaborative embedded systems development. By bridging the gap between rigid industrial workflows and flexible, exploratory design practices, the proposed approach enables users to interact directly with automated machines in a more accessible and creative manner. The research explores three core pillars: Human–Machine Interaction (HMI), enabling intuitive monitoring and control of complex industrial systems; Computer-Aided Physical Fabrication, integrating CAD/CAM tools with automated manufacturing technologies such as CNC machines and industrial fabrication equipment; and Collaborative Embedded Systems Design, facilitating coordinated development of hardware, software, and control architectures within multidisciplinary teams. Emphasis is placed on modularity, ease of access, and real-time interaction to support rapid prototyping and iterative design. A practical case study is conducted within an industrial plant environment, where the hardware and software architecture of the automation system is analyzed, designed, and implemented. The proposed automated module demonstrates improved operational efficiency, enhanced system integration, and increased usability for end-users with varying technical backgrounds. The results confirm that modular, user-centered automation systems can significantly improve flexibility, scalability, and innovation in industrial production environments. This thesis contributes to the development of future-ready industrial automation systems by providing design principles and implementation strategies that promote accessibility, collaboration, and creative exploration in automated manufacturing.