通过一个基于真实数据的本科生研究项目,教授生产运营管理中的数据包络分析

Xiangrong Liu
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引用次数: 1

摘要

本教学笔记反映了最近通过实施一个基于现实问题的研究项目来教授本科生生产运营管理课程的经验。在这个项目中,学生们调查了由美国环境保护署(EPA)编制的一个耗资数百万美元的Access数据库,并应用数据包络分析(DEA)模型对他们选择的美国各州的燃煤电厂的生产效率进行基准测试。这个研究项目将研究项目贯穿整个学期,让学生用实际的工业生产问题来说明DEA模型,增强了学生在生产运营管理中的可持续性意识,这对培养学生的定量解决问题的能力有很大的帮助。
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Teaching data envelopment analysis in production operations management through an undergraduate research project based on real-world data
This teaching note reflects the recent experience in teaching an undergraduate production operations management course through the implementation of a real-world-problem-based research project. In this project, students investigated a multi-million dollar effort Access database compiled by the Environmental Protection Agency (EPA) and applied a data envelopment analysis (DEA) model to benchmark production efficiency among the coal-fired power plants within the states that they selected in the USA. This research project did much to developing students' quantitative problem-solving skills by weaving the research project throughout the whole semester, engaging students in illustrating DEA models with a real industrial production problem, and enhancing students' awareness of sustainability in production operations management.
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