面向客户协同的产品创新任务分组模型及方法

发布时间：2018-05-01 05:00

本文选题：产品创新 + 客户协同　；参考：《系统工程》2017年03期

【摘要】：客户协同产品创新中,针对产品创新任务之间相互关联,导致创新主体交互、协同频率与复杂度增加,降低协同创新效率的问题,论文分析了由客户与企业专业人员构成的创新团队结构及其特点,提出了模糊数字化设计结构矩阵,从敏感度、可变度以及任务要求相似度三个方面度量任务间的关联程度。在此基础上,以任务组内聚度最大化,任务组间耦合度最小化为目标,任务组可执行性等为约束,建立任务分组模型,采用双种群自适应遗传算法求解。最后通过实例分析说明模型和方法的可行性和有效性。
[Abstract]:In customer collaborative product innovation, the task of product innovation is related to each other, which leads to the interaction of innovation agents, the increase of collaboration frequency and complexity, and the reduction of efficiency of collaborative innovation. This paper analyzes the structure and characteristics of innovative team composed of customers and enterprise professionals, and proposes a fuzzy digital design structure matrix to measure the relevance of tasks from three aspects: sensitivity, variability and similarity of task requirements. On this basis, the task grouping model is established with the objective of maximizing the cohesion of the task group, minimizing the coupling degree between the task groups, and the executable of the task group. The model is solved by using the two-population adaptive genetic algorithm. Finally, the feasibility and effectiveness of the model and method are illustrated by an example.
【作者单位】：重庆大学机械传动国家重点实验室;南瑞集团公司天津市普迅电力信息技术有限公司;
【基金】：国家自然科学基金资助项目(71571023)
【分类号】：F273.1

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