The field of study Industrial Process Optimization focuses on the development of optimization models and algorithms to improve the efficiency of industrial systems, both in production processes, supply chains, and resource management. Through mathematical and computational approaches, this study aims to minimize costs, maximize quality, and optimize system performance in facing various operational and real-world constraints.
Research in this field includes the application of optimization theory, stochastic modeling, and data-based simulation in various industrial sectors such as manufacturing, energy, logistics, and process technology. With a strong interdisciplinary approach, PRISM is committed to supporting national industrial efficiency, strengthening global competitiveness, and promoting sustainable industrial practices based on data and mathematical models.
