A1611
Title: Enhancing response surface methodology with Latin hypercube sampling techniques
Authors: Despina Athanasaki - RMIT (Australia) [presenting]
Abstract: A novel method is presented for incorporating Latin hypercube sampling (LHS) into composite designs within the design of experiments (DOE) for response surface methodology (RSM). Composite designs are known for their flexibility and efficiency in probing complex relationships between input variables and output responses. By integrating LHS, the exploration of multidimensional parameter spaces is significantly enhanced, ensuring a more diverse and representative sampling scheme. Practical examples and comprehensive analysis demonstrate how LHS can innovate composite designs in RSM applications. Results highlight LHSs potential to optimize processes, improve product quality, and reduce costs across various fields, offering valuable insights for both practitioners and researchers in experimental design and optimization.
