基于知识的协同设计任务分配双向选择模型

Two-way selection optimization model based on knowledge for task allocation in collaborative design

针对协同设计任务分配中忽略设计人员自我发展需求的问题,在对设计人员知识作业过程进行分析的基础上,提出显性知识的学习模型和知识集合的概念,并构建了一个能实现任务与设计人员之间双向选择的优化模型,从而实现任务的合理分配,达到任务完成时间最短和设计人员知识学习最大化之间的平衡。通过算例分析验证了模型的有效性:模型的使用有利于设计人员知识扩容;模型的循环使用对完成任务时间的缩短有利。

Task allocation always ignores the designer＇ s needs of self-development incollaborative design. On the basis of analysis the knowledge work process of designer, this paper proposed a model of learning explicit knowledge and knowledge collection . And then it constructed a two-way selection optimization model so as to achieve a reasonable task allocation. This model can achieve a equilibrium between the shortest task completion time and the biggest designer＇ s knowledge collection. Finally, it verified the effectiveness of the model by an example： using the model in favor of increased designer＇ s knowledge; recycle usin~ it in favor of shorten task completion time.