让学生参与优化建模:获得商业颠覆见解

Q3 Social Sciences INFORMS Transactions on Education Pub Date : 2022-08-25 DOI:10.1287/ited.2022.0279
J.A. Stuart Williams, R. Reid, Philip E. Billings, Natalie C. Belford
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引用次数: 1

摘要

学生如何为潜在的业务中断做好准备?本文所示的方法使用了参数敏感性分析的优化建模,并在一系列上下文练习中通过结构敏感性分析进一步拓宽了对见解的搜索。练习通过将生产计划扩展到包括情景分析和应急考虑,促使学生确定业务影响分析的关键资源。在虚拟办公时间,一名参与者将这些练习描述为一个需要解开的“谜团”。对于一个开放式应急计划问题,一些参与者甚至提出了新的产品设计决策。研究结束后,28名参与者中有25人推荐了未来学期的练习。
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Engaging Students in Optimization Modeling: Gaining Business Disruption Insights
How can students prepare for potential business disruptions? The approach shown in this paper uses optimization modeling with parametric sensitivity analysis and further broadens the search for insights with structural sensitivity analysis in a series of contextual exercises. The exercises prompt students to identify critical resources for business impact analysis by extending production planning to include scenario analyses and contingency considerations. During virtual office hours, one participant described the exercises in terms of a “mystery” to solve. For an open-ended contingency planning question, some participants even proposed new product design decisions. Upon conclusion of the study, 25 of the 28 participants recommended the exercises for future semesters.
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来源期刊
INFORMS Transactions on Education
INFORMS Transactions on Education Social Sciences-Education
CiteScore
1.70
自引率
0.00%
发文量
34
审稿时长
52 weeks
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