单因素轮换试验作为一种简单的试验方法并不被推荐使用，但近来对单因素轮换试验的作用逐渐有了新的认识，认为单因素轮换试验在优化方面有一定优势。基于上述研究，首先对先验知识进行了分类，然后对基于先验知识的单因素轮换试验轮换顺序优选策略进行了研究，得到了一些有意义的结果；并对利用先验知识的单因素轮换试验与相等试验次数的正交设计做了实例比较，得出单因素轮换试验在平均意义下占优的结果，最后给出了总结和展望。

The One-factor-at-a-time (OFAT)plan was not recommended in practice in design of experiment, but following the recent study of OFAT, the effect and role of OFAT are better understood and realized, which has some advantages in optimization . Basing on our latest two papers, we first analyzed the prior knowledge, then studied optimization strategies of varying orders choices in OFAT experimentation based on prior knowledge. Some benefit and useful results for OFAT were gotten by simulation on many examples. Meanwhile, we did the comparison of OFAT based on prior knowledge with the orthogonal array under the equal number of experimental runs; the result is OFAT wins in average. Finally, we gave the conclusions and described the future work.