基于加权信息熵的OC曲线性能评价仿真实验设计  

Simulation Experiment Design of OC Curve Performance Evaluation Based on Weighted Information Entropy

作　　者：赵嘉琪 徐文浩 樊树海[1,2] ZHAO Jiaqi;XU Wenhao;FAN Shuhai(Department of Industrial Engineering,Nanjing University of Technology,Nanjing 210009,China;Data Quality and Information Security Laboratory,Information Quality Project,Massachusetts Institute of Technology,Massachusetts 02139,USA)

机构地区：[1]南京工业大学工业工程系,南京210009 [2]麻省理工学院信息质量项目数据质量与信息安全实验室,美国马萨诸塞州02139

出　　处：《实验室研究与探索》2023年第5期122-125,132,共5页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(71671089);国家社科基金项目(20BGL025)。

摘　　要：OC曲线性能评价是质量管理与可靠性课程教学的重要内容。在适应教学需求的同时,为顺应多样化、定制化的生产趋势,提出抽样特性曲线的一种新的评价指标——加权信息熵评价指标,运用仿真软件分析该评价方法的可行性及有效性。该方法运用于抽样特性曲线性能评价实验时,能适应不同产品的生产差异,且计算快速,软件操作便捷,提高了评价的科学性。通过实验学生可加深对抽样特性曲线学习的理解、提高学习兴趣与应用能力。OC curve performance evaluation is an important content of quality management and reliability course teaching.While adapting to teaching needs,in order to comply with the trend of diversified and customized production,a new evaluation index of sampling characteristic curve—weighted information entropy evaluation index was proposed,and the feasibility and effectiveness of the evaluation method were verified by simulation software.In the performance evaluation experiment of sampling characteristic curve,the method can adapt to the production differences of different products,and the calculation is fast and convenient,which improves the evaluation is scientific.Through experiments,students can deepen their understanding of sampling characteristic curve learning,and improve their interest in learning and application ability.

关 键 词：抽样特性曲线 加权信息熵 多样化 仿真实验设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]