Bibliographic Details
| Title: |
Optimal split-plot order-of-addition designs. |
| Authors: |
Lin, Chang-Yun1 (AUTHOR) chlin6@nchu.edu.tw, Yang, Po2 (AUTHOR) |
| Source: |
Quality Engineering. 2026, Vol. 38 Issue 3, p481-495. 15p. |
| Subjects: |
Experimental design, Optimization algorithms, Statistical power analysis, Pharmaceutical chemistry, Factorial experiment designs |
| Abstract: |
This study presents a comprehensive framework for designing and evaluating split-plot order-of-addition (SP-OofA) experiments. The proposed method aims to develop D-optimal SP-OofA designs to maximize the efficiency of estimating both whole-plot and subplot effects. We introduce a systematic algorithm that incorporates a point-exchange method to iteratively refine the design, ultimately identifying the D-optimal design. Through an example in pharmaceutical formulation, the D-optimal SP-OofA design achieved an improvement of nearly 50% in D-efficiency compared to the original design. A simulation study further demonstrates the superiority of D-optimal SP-OofA designs in terms of statistical power and design efficiency. This research contributes to the methodology of OofA experiments with split-plot structures, providing a practical solution for high-efficiency experimental design in fields, such as pharmaceuticals, material science, and manufacturing. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
