Abstract: During the process of customer collaboration in product innovation, one important thing is to match product innovation tasks and collaborative customers reasonably, which help to make full use of customers’ knowledge and ability, and promote the results of collaboration. This paper first proposes a matching strategy according to the characteristics of customer collaborative product innovation. Then, the concept of fuzzy matching degree is put forward to measure the matching degree between customers and tasks. On this basis, we take the maximum of fuzzy matching degree between them as target to build matching model. By using ranking method, we can solve this model and determine the optimal matching scheme. In this way, this study deals with the matching problem between product innovation tasks and collaborative customers under the cost and time constraints. The empirical results illustrates that the proposed model and method is reasonable, achievable and easy to operate, the conclusion of analysis is capable of helping decision maker to assign customers to product innovation tasks.

摘要： 客户协同产品创新中，产品创新任务与协同客户的合理匹配，对充分发挥客户的作用和提升协同效果具有重要的促进作用。论文根据客户协同产品创新特点，提出基于任务分组的产品创新任务与协同客户匹配策略。在此基础上，提出度量客户与任务之间匹配程度的模糊匹配度概念，并以最大化模糊匹配度为目标，建立匹配模型，采用排序方法进行求解，从而解决在一定的时间、成本等约束下，如何制定任务与客户匹配方案，以最大化客户与任务之间匹配度这一问题。最后进行实例研究，结果表明文中提出的模型和方法合理可行，易于操作，分析的结论能够为企业决策者为产品创新设计任务指派合适的客户提供参考和依据。