A0276
Title: Stats in Industry 5.0: Some cases of contemporaneous experimental designs adopting dynamic and hierarchical structures
Authors: Diego Nascimento - Universidad de Atacama (Chile) [presenting]
Abstract: The advancement of technology has increased competitiveness, especially in the manufacturing industry. Given the competitiveness of the business world, decision-making based on data can support companies in fast and accurate strategic planning. Using statistical solutions, preliminary results about a novel water extraction in the worlds driest non-polar desert are presented. This region is a mining area in which the field demands a high volume of water. Therefore, a hierarchical dynamic spatial-temporal model was developed to estimate the relative humidity flux across the region. Then, Statistical Process Control (SPC) tools and Experimental Designs were adopted to draw fresh water in the form of thick cloud banks (known as Camanchaca). Results show that strategies adopting statistical solutions for capturing this moisture are arguably revolutionizing modern desert water collection.
