We therefore returned to traditional space-filling designs , for which provides an excellent review. In practice, Maximin Latin Hypercube Designs (Mm LHD) are the most commonly used due to their simplicity and availability in software packages . However, a LHD only works with continuous factors. Therefore, sliced Latin hypercube designs (SLHD) were introduced , which are a type of LHD that can be further partitioned into 𝑡 smaller LHDs called slices where 𝑡 is the number of all possible combinations of the categorial factors. The method was improved to find an alternative, more computationally efficient construction of the SLHD , yet as the number of nominal factors increases, 𝑡 increases exponentially, and so this method is limited for its application to formulations design.