Identifying and Assessing the Required I4.0 Skills for Manufacturing Companies’ Workforce

F. Acerbi, M. Rossi, S. Terzi
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Abstract

Nowadays, the diffusion of digital and industry 4.0 (I4.0) technologies is affecting the manufacturing sector with a twofold effect. While on one side it represents the boost fastening the competitive advantage of companies, on the other hand it is often accompanied by several challenges that companies need to face. Among all, companies are required to invest in technologies to empower their production activities on the shopfloor without lagging behind their workforce in order to undertake a linear, aware, and structured path toward digitization. The extant literature presents some research conducted to support companies toward digitization, and they usually rely on maturity models in this intention. Nevertheless, few studies included the assessment of workforce skills and competencies in the overall assessment, and in this case, they provide a high level perspective of the investigation, mainly based on check lists which may limit the objectivity of the assessment, and usually they do not customize the assessment based on companies’ requirements. Therefore, considering the importance to balance investments in technologies with those in the workforce to move toward the same direction, this contribution aims to develop a structured, customizable, and objective skill assessment model. With this intention, it has been first clarified the set of job profiles required in I4.0, together with the needed related skills based on the extant literature findings; second, it has been identified the set of key criteria to be considered while performing the assessment of the workforce; third, it has been defined the method to be integrated in the maturity model to enable the initial setting of the weights of the criteria identified according to the company needs; and fourth, based on these findings, it has been developed the assessment model. The developed model facilitates the elaboration of the proper workforce improvement plans to be put in practice to support the improvement of the skills of the whole workforce based on company’s needs.
识别和评估制造企业劳动力所需的工业4.0技能
如今,数字和工业4.0 (I4.0)技术的扩散正以双重效应影响着制造业。一方面,它代表了加强企业竞争优势的推动力,另一方面,它往往伴随着企业需要面对的一些挑战。其中,企业需要投资于技术,以增强其在车间的生产活动,而不落后于其员工,以便采取线性、有意识和结构化的数字化路径。现有文献提出了一些支持公司数字化的研究,这些研究通常依赖于成熟度模型。然而,很少有研究将劳动力技能和能力的评估纳入整体评估,在这种情况下,它们提供了一个高层次的调查视角,主要基于检查清单,这可能限制了评估的客观性,而且通常它们不会根据公司的要求定制评估。因此,考虑到平衡技术投资与劳动力投资以向同一方向发展的重要性,本贡献旨在开发一个结构化的、可定制的和客观的技能评估模型。基于这一目的,本文首先明确了工业4.0所需的一套工作概况,以及基于现有文献发现所需的相关技能;其次,它已经确定了在执行劳动力评估时要考虑的一套关键标准;第三,定义了在成熟度模型中集成的方法,能够根据公司需要初始设置确定的指标权重;第四,在此基础上,建立了评价模型。开发的模型有助于制定适当的劳动力改进计划,并付诸实施,以支持根据公司需要提高全体劳动力的技能。
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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