To increase the diversity of question item arrangement between examination papers in an uniformly organized online examination, this paper proposes a definition of position similarity between examination papers, presents and implements a transformed paper generation model based on position similarity. Experiments show that this model could generate papers with larger diversity on question item sequence compared with the one generated by random arrangement when question items are grouped by item types and difficulty levels.