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The Energy Worker Profiler from Technologies to Skills to Realize Energy Efficiency in Manufacturing

2023-01-23 14:08:34
Silvia Fareri, Riccardo Apreda, Valentina Mulas, Ruben Alonso

Abstract

In recent years, the manufacturing sector has been responsible for nearly 55 percent of total energy consumption, inducing a major impact on the global ecosystem. Although stricter regulations, restrictions on heavy manufacturing and technological advances are increasing its sustainability, zero-emission and fuel-efficient manufacturing is still considered a utopian target. In parallel,companies that have invested in digital innovation now need to align their internal competencies to maximize their return on investment. Moreover, a primary feature of Industry 4.0 is the digitization of production processes, which offers the opportunity to optimize energy consumption. However, given the speed with which innovation manifests itself, tools capable of measuring the impact that technology is having on digital and green professions and skills are still being designed. In light of the above, in this article we present the Worker Profiler, a software designed to map the skills currently possessed by workers, identifying misalignment with those they should ideally possess to meet the renewed demands that digital innovation and environmental preservation impose. The creation of the Worker Profiler consists of two steps: first, the authors inferred the key technologies and skills for the area of interest, isolating those with markedly increasing patent trends and identifying green and digital enabling skills and occupations. Thus, the software was designed and implemented at the user-interface level. The output of the self-assessment is the definition of the missing digital and green skills and the job roles closest to the starting one in terms of current skills; both the results enable the definition of a customized retraining strategy. The tool has shown evidence of being user-friendly, effective in identifying skills gaps and easily adaptable to other contexts.

Abstract (translated)

过去几年,制造业占据了总能源消耗的近55%,对全球生态系统造成了重大影响。虽然更加严格的 regulations、限制重型制造业和技术创新的严格限制正在提高其可持续性,但零排放和节能制造仍然被认为是乌托邦的目标。同时,公司已经投资于数字创新,现在需要将内部能力对齐,以最大限度地提高投资回报率。此外,工业4.0的一个重要特征是生产流程的数字化,这提供了优化能源消耗的机会。然而,由于创新的速度,现有工具无法测量技术对数字和绿色职业及技能的影响。因此,在本文中,我们介绍了工人评估器,这是一款软件,旨在映射工人目前掌握的技能,确定与理想状态下应该掌握的不对齐的技能,以应对数字创新和环境保护提出的新要求。工人评估器的创建经历了两个步骤:首先,作者推断了感兴趣的领域的关键技术和技能,孤立了显著增加专利申请趋势的技能和绿色和数字 enabling 技能和职业。因此,软件在用户界面级别进行了设计和实现。自我评估的输出是缺少的数字和绿色技能的定义和当前技能中最接近起始状态的职务角色;这两个结果都实现了自定义培训策略的定义。该工具显示出用户友好的特点,能够有效地识别技能差距,并且可以轻松适应其他 contexts。

URL

https://arxiv.org/abs/2301.09445

PDF

https://arxiv.org/pdf/2301.09445.pdf


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