Editorial for the special issue on experimental design for reliability and life testing.

This document is an editorial for a special issue on experimental design for reliability and life testing in the field of quality and reliability engineering. The editorial emphasizes the importance of experimental design in reliability research and highlights ten papers that showcase innovative methodologies, optimization techniques, and practical applications in the field. The papers cover topics such as Bayesian methods, artificial neural networks, optimization techniques, statistical sampling plans, and understanding human factors in reliability engineering. Overall, the papers contribute to advancing both theoretical and practical aspects of reliability engineering, enhancing our ability to predict and ensure the performance and safety of engineering systems. [Extracted from the article]