指导制造企业走向数字化:一种支持制造企业定义数字化路线图的方法

Anna De Carolis, M. Macchi, Elisa Negri, S. Terzi
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引用次数: 65

摘要

在工业4.0时代,数字技术被视为制造业转型的主要驱动力。一方面,制造企业必须能够“驾驭”这一转型浪潮,以保持竞争力;另一方面,在投资数字技术之前,他们必须了解自己的现状,以及他们在不同职能部门的数字技术和组织流程方面的需求。事实上,转型过程的成功主要取决于公司准备好应用这些数字技术所设想的技术变革的能力。从这些考虑因素来看,在了解了工业4.0所促进的数字化转型的当前准备水平之后,可以说制造公司必须采取的下一步是定义其转型路线图。为了引导他们走向这个转换过程,基于CMMI(能力成熟度模型集成)框架的鼓舞人心的原则,开发并利用了一个称为DREAMY(数字准备评估成熟度模型)的成熟度模型。这种模式的目标是双重的。首先,它允许评估制造公司当前的数字化准备情况,并确定其在实施技术和组织流程方面的优势和劣势。其次,它能够识别数字化转型为公司提供的一系列机会,考虑到它们的优势并旨在克服它们的弱点。通过将这种方法应用于案例研究,可以得出两个主要结果。一方面,所分析的制造公司已经意识到他们的数字化准备水平,他们的优势和劣势,以及他们可以从数字化过程中利用的主要机会。另一方面,收集了制造企业当前数字化准备水平的经验证据,以及所识别机会之间可能存在的共同特征。
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Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap
Within the era of Industry 4.0, digital technologies are seen as the main drivers for manufacturing industry transformation. If on one hand manufacturing companies have to be able to “ride” this wave of transformation in order to remain competitive, on the other hand, before investing in digital technologies, they have to understand what their current situation is and what their needs are with respect to both digital technologies and organizational processes in different functions. Indeed, the success of the transformation process mainly depends on the company ability to be ready to apply the technological change that some of these digital technologies envision. From these considerations, after having figured out their current readiness level for starting the digital transformation fostered by the Industry 4.0, it is possible to state that the next step manufacturing companies have to undertake is to define their transformation roadmap. With the aim to guide them towards this transformation process, a maturity model, called DREAMY (Digital REadiness Assessment MaturitY model) and based on the inspiring principles of the CMMI (Capability Maturity Model Integration) framework, has been developed and utilized. The objectives of this model are twofold. Firstly, it allows the assessment of the current digital readiness of manufacturing companies and the identification of their strengths and weaknesses with respect to implemented technologies and organizational processes. Secondly, it enables the identification of a set of opportunities offered to companies by the digital transformation, considering their strengths and aiming to overcome their weaknesses. Through the application of this methodology into case studies, it has been possible to reach two main results. On one hand, the analyzed manufacturing companies have been aware of their digital readiness level, of their strengths and weaknesses and of the main opportunities they can exploit from the digitalization process starting from their current situation. On the other hand, empirical evidences were gathered on the current level of manufacturing companies' digital readiness and on the possible common traits among the identified opportunities.
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