Designing computer experiments with multiple types of factors: The MaxPro approach. Issue 4 (1st October 2020)

• Record Type: Journal Article
• Authors: Joseph, V. Roshan; Gul, Evren; Ba, Shan
• Is Part Of: Journal of quality technology. Volume 52:Issue 4(2020)
• Page Start: 343
• Page End: 354
• Publication Date: 2020-10-01
• Subjects: Latin hypercube designs -- space-filling designs -- quantitative factors -- qualitative factors; Quality control -- Periodicals; Qualité -- Contrôle -- Périodiques; Quality control; Quality control; Periodicals; 620.0045
• DOI: 10.1080/00224065.2019.1611351
• Languages: English
• ISSNs: 0022-4065

Abstract

Abstract: Computer experiments may involve not only continuous input factors but also nominal factors, discrete numeric factors, and ordinal factors. Most existing literature in designing computer experiments focuses only on continuous factors. Some works have further considered nominal factors, but the cases that also contain discrete numeric or ordinal factors are almost overlooked. In this work, we propose a new optimal design criterion that can accommodate all these types of factors. The proposed design is flexible in run size and number of factors, and can also achieve good space-filling properties in the full design space and in all possible low-dimensional projections.