研究成果：Developing scenario-oriented function modules in new product development projects based on big data-driven approach

作者：杨青

发表期刊：International Journal of Production Research

期刊级别：ABS3

发表时间：2025年10月

摘要：In new product development (NPD), one of the fundamental challenges is developing function modules based on usage scenarios. To enhance customer experience and satisfaction, this paper proposes a scenario-oriented approach to function modular development that leverages customer online reviews as a data source. First, to measure the scenario-oriented dependency strength among functions extracted from online reviews, we develop a method that integrates association rule mining with network modelling (i.e. a ‘scenario-function’ network), incorporating scenario importance and scenario-function dependencies. Next, to evaluate the importance of scenarios, we introduce a model based on network weighted degree centrality and propose a method for quantifying the dependency strength between scenarios and functions. Finally, to partition the function network, we propose a modified GN clustering algorithm that incorporates edge weights and network information entropy. A smart home system is used as an example to illustrate the proposed big data-driven model. The results yield several managerial insights, such as methods for assessing the importance of scenarios and identifying the functions that should be incorporated into a module (or cluster).