Learning factory in logistics: Evaluation of the effects of a hands-on experience for automated warehouse processes

IF 1.4 Q3 EDUCATION & EDUCATIONAL RESEARCH
Andrea Ferrari, Anna Corinna Cagliano, Giovanni Zenezini, Antonio Carlin, Giulio Mangano
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Abstract

In recent years, automated warehouses have become increasingly important to meet the rising demand of supply chain operations. Despite their growing relevance to industry, these systems remain largely underrepresented in academic settings, which contributes to a significant gap in student knowledge and preparedness. Traditional educational approaches often fail to equip future professionals with the practical skills required by modern logistics systems. While the learning factory paradigm partially addresses this gap, it typically places limited emphasis on logistics processes. To bridge this divide between theory and industrial practice, a hands-on learning experience was conducted in a logistics-focused learning factory involving Bachelor's and Master's engineering students. A structured questionnaire was administered to evaluate students’ perceptions of automated warehouses, and statistical methods were employed to analyze both the short- and medium-term impacts of the experience. Findings revealed a strong interest among students in industrial logistics, despite limited prior exposure to automation technologies. Consistent with previous research, the hands-on approach was particularly effective for Master's students, highlighting its potential as a valuable educational tool in logistics engineering.

Abstract Image

物流中的学习工厂:对自动化仓库流程的实践经验效果的评估
近年来,自动化仓库在满足供应链运营日益增长的需求方面变得越来越重要。尽管这些系统与工业的相关性越来越大,但在学术环境中,这些系统的代表性仍然很大,这导致了学生知识和准备方面的巨大差距。传统的教育方法往往不能为未来的专业人员提供现代物流系统所需的实用技能。虽然学习型工厂模式部分解决了这一差距,但它通常对物流过程的强调有限。为了弥合理论与工业实践之间的鸿沟,我们在一个以物流为重点的学习型工厂进行了一次实践学习体验,参与者包括工程学士和硕士学生。采用结构化问卷来评估学生对自动化仓库的看法,并采用统计方法来分析体验的短期和中期影响。调查结果显示,尽管学生对自动化技术的接触有限,但他们对工业物流有浓厚的兴趣。与先前的研究一致,实践方法对硕士生特别有效,突出了其作为物流工程中有价值的教育工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Decision Sciences-Journal of Innovative Education
Decision Sciences-Journal of Innovative Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.60
自引率
36.80%
发文量
25
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