This specialization will focus on studying courses that deepen the field of manufacturing systems such as green productivity courses, green supply chain, concurrent engineering, advanced factory layout, renewable energy, enterprise resource planning, value engineering, machine scheduling, and assembly manufacturing design. Students understand the fundamentals of the manufacturing industry, including material science, production methods, production management, automation, and relevant information technology. They learn production planning strategies, selection of appropriate production equipment and technologies, and supply chain management to ensure efficient and effective production. In this context, students also engage in modeling, simulation, and analysis of manufacturing systems using specialized tools and techniques. They understand and apply the concepts of lean manufacturing, Six Sigma, Total Quality Management (TQM), and operations management practices to improve productivity and reduce waste.

This science will focus on studying courses that deepen the optimization of the role of individuals in human-machine systems (ergonomics) such as environmental ergonomics, macro ergonomics, green ergonomics, human-machine control systems, work environment design, design, measurement and standardization of work systems (P3SK), work biomechanics, cognitive ergonomics, human factors control techniques. Students in this research group understand human psychology, ergonomics, anthropometry, cognition, organizational behavior, and social factors that affect individual and team performance. They learn how to design and optimize tools, equipment, interfaces, and work environments to match human physical and cognitive capabilities, minimize fatigue, and increase efficiency. In addition to the physical ergonomics aspect, students also learn about cognitive ergonomics, which is how the design of systems, tasks and interfaces affect human cognitive understanding, decision-making and performance. They understand how to design tasks and systems to suit human mental characteristics.

This specialization will focus on studying courses that deepen the problems of data mining management, risk management, strategic management, soft computing, business intelligence, decision support systems, financial management, maintenance management, and operations management. Students in this research group understand traditional management concepts, including planning, organizing, leading, controlling, and supervising, and integrate them with scientific methods such as statistics, data analysis, operations research, and mathematical modeling. They learn techniques to plan business strategies that are supported by empirical evidence and data, helping organizations make better and more informed decisions. In addition, students also learn about risk management, product development, and innovation. They understand how to manage risk in business processes, maximize innovation, and introduce new products effectively.