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Article Dans Une Revue Athens Journal of Technology & Engineering Année : 2022

Discrete-Events Simulation for Teaching Statistics in Industrial Engineering

Résumé

This paper presents a discrete events simulation tool developed to support undergraduate students in their Statistics and Data Analysis course. Although the use of modern smart technologies in the industry contributes to a profusion of data, very few enterprise datasets are freely available, resulting in a serious lack of open real-world data for research and education. To overcome this difficulty, we designed a tool that simulates scheduling scenarios in a manufacturing environment. The generated data may be used to put statistical concepts and methods into practice to design cost-effective strategies for optimizing key performance indicators, such as reducing production time, improving quality, eliminating wastes, and maximizing profits.
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Dates et versions

hal-03572881 , version 1 (14-02-2022)

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Farida Saïd, Iehann Eveno, Jeanne Villaneau. Discrete-Events Simulation for Teaching Statistics in Industrial Engineering. Athens Journal of Technology & Engineering, 2022, 9 (1), ⟨10.30958/ajte.9-1-4⟩. ⟨hal-03572881⟩
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