Key research themes
1. How can heuristic and simulation techniques optimize plant layout design for improved production efficiency?
This research theme explores the application and integration of heuristic optimization methods such as Systematic Layout Planning (SLP), Genetic Algorithms (GA), Tabu Search (TS), Simulated Annealing (SA), and simulation tools (e.g., Flexsim, ProModel, ARENA) to design or redesign plant layouts that enhance material flow, reduce handling costs, and increase production capacity. Its importance lies in addressing dynamic manufacturing environments where evolving demands, processes, and spatial constraints necessitate adaptable and effective layout solutions to improve operational performance.
2. How can quantitative and computational methods measure and compare plant architectural structures to improve botanical understanding?
This research area investigates analytical approaches based on graph theory and computational algorithms for quantitatively comparing plant architectures, focusing on the topological and spatial organization of plant parts. Precise metrics, such as distance measures between rooted tree graphs representing plant structures, are developed to capture morphological variability, enabling deeper biological insights, improved classification, and enhanced modeling of plant form and development.
3. How can plant species selection and spatial arrangement contribute to sustainable and health-promoting environmental design?
This area covers research integrating plant selection, particularly tropical and medicinal species, with architectural and landscape design to enhance sustainability, biodiversity, mental health, education, and resilience in campus and urban environments. It evaluates criteria such as ecological adaptability, aesthetic and cultural values, environmental benefits (e.g., carbon sequestration, microclimate regulation), and educational uses, reflecting interdisciplinary approaches to harmonize botanical elements with human well-being and sustainable urban planning.