关键词: 工作转移矩阵, 内部迭代, 遗传算法, 产品开发, 耦合任务集

Abstract: To deal with shortcomings of Work Transformation Matrix (WTM) in parallel iteration model, the improved parallel iteration model was proposed according to task iteration time, immature information transfer process and the finitude of iteration numbers. Furthermore, Genetic Algorithm (GA) was used to search for the optimal period or cost of the coupled set under multiple iteration stages. Finally, the model was applied to solve coupled task sets of two product development processes so as to validate its effectiveness. In addition, the influencing factors on period and cost of coupled sets were analyzed.

Key words: work transformation matrix, inner iteration, genetic algorithm, product development, coupled task set