On a heuristic evaluation system for Industry 5.0 with respect to interventions: the case of training in businesses

Alexios Papacharalampopoulos , Olga Maria Karagianni , Panagiotis Stavropoulos , Unai Ziarsolo , Peter Totterdill , Rosemary Exton , Steven Dhondt , Peter Oeij , Matteo Fedeli , Massimo Ippolito , Fabrizio Timo , Arturas Gumuliauskas , Dovilė Eitmantytė , Unai Elorza
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引用次数: 0

Abstract

Manufacturing has been undergoing many changes, with the latest one being the paradigm shift to Industry 5.0. In this long procedure, training is required at any level, from operators to managers. Thus, interventions must be made so that Teaching and Learning Factories are upgraded towards integrating Industry 5.0. To this end, an evaluation system has to be made, assessing the feasibility of the three pillars’ integration. This procedure can concern a qualitative assessment (or a quantitative one) of the feasibility and the other implicated concepts, such as upskilling. At the same time, multilevel metrics are relevant, such as Key Performance Indicators (KPIs) related to company practices, manufacturing itself, jobs and trainees. Herein, a summative differential evaluation scheme, based on heuristic aspects, is explored, under the framework of the aforementioned TLF interventions. Examples of companies’ ex-ante characterization are given. Then, potential extensions are being discussed towards achieving formative evaluation and potentially towards KPIs.
关于工业5.0干预的启发式评估系统:以企业培训为例
制造业经历了许多变化,最新的变化是向工业5.0的范式转变。在这个漫长的过程中,从操作员到管理人员的任何级别都需要培训。因此,必须采取干预措施,使教学工厂向集成工业5.0的方向升级。为此,必须建立一个评估体系,评估三大支柱整合的可行性。这个过程可以涉及可行性和其他相关概念的定性评估(或定量评估),例如提高技能。同时,多层次的指标是相关的,例如与公司实践、制造本身、工作和学员相关的关键绩效指标(kpi)。本文在上述TLF干预的框架下,探索了一种基于启发式方面的总结性差异评价方案。给出了公司事前定性的例子。然后,正在讨论实现形成性评估和潜在的kpi的潜在扩展。
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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CiteScore
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