협동 제품개발 실습에서 참가자 기여도 평가를 위한 Product Data Analytics 기반 정량적 평가 시스템 적용
Applying a Product Data Analytics-based Quantitative Contribution Evaluation System for Participants to Collaborative Projects in Product Development Practices
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초록
As product development process becomes complex, it becomes more important for engineering students to experience collaborative productdevelopment. Especially the collaboration experience based on Product Data Management (PDM) systems is useful, since participantsare likely to use the same environment for their professional product development. However, instructors have difficulties to evaluatecontribution of each participant to their projects during the practices, since it is hard to trace personal activities for collaborative designprocesses. To solve this problem, this study suggests a data-driven objective method that analyses product data accumulated in PDMdatabases to evaluate numerically calculated contributions of participants to their class projects. As a result, the quantitative measuresprovided by the data-driven analysis with qualitative measures for project results can improve the fairness and quality of evaluationof contributions of participants to collaborative projects. This study implemented the proposed evaluation method with an informationsystem and discussed the result of the application of the system to product development practices.
Abstract
As product development process becomes complex, it becomes more important for engineering students to experience collaborative productdevelopment. Especially the collaboration experience based on Product Data Management (PDM) systems is useful, since participantsare likely to use the same environment for their professional product development. However, instructors have difficulties to evaluatecontribution of each participant to their projects during the practices, since it is hard to trace personal activities for collaborative designprocesses. To solve this problem, this study suggests a data-driven objective method that analyses product data accumulated in PDMdatabases to evaluate numerically calculated contributions of participants to their class projects. As a result, the quantitative measuresprovided by the data-driven analysis with qualitative measures for project results can improve the fairness and quality of evaluationof contributions of participants to collaborative projects. This study implemented the proposed evaluation method with an informationsystem and discussed the result of the application of the system to product development practices.
참고문헌 (18)
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