Concept for an evolutionary maturity based Industrie 4.0 migration model

Leineweber, Stefan; Wienbruch, Thom; Lins, Dominik; Kreimeier, Dieter; Kuhlenkötter, Bernd

doi:10.1016/j.procir.2018.03.155

Cited by 56 publications

(28 citation statements)

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“…Stefan et al [125] emphasized considering the same meaning of three dimensions-technology, organization, and personnel-in assessing the level of Industry 4.0, as done by Block [126]. However, these dimensions were classified in more detail into three additional levels, assigning them four to seven characteristics.…”

Section: Discussionmentioning

confidence: 99%

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Vrchota

Pech

2019

Applied Sciences

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Industry 4.0 includes digital process transformation, information technology (IT) development, mobile devices, learning software, automation, and robotics, as well as intelligent sensors to collect large datasets, store, analyze, and use them in business, including simulation, virtual reality, and digital twins. The aim of the paper is to characterize the readiness of the enterprise to use Industry 4.0. In the research, a questionnaire survey was carried out on a sample of 276 enterprises mainly from the manufacturing industry. Using explorative factor analysis, the index of Industry 4.0 (VPi4) was designed to determine the level of Industry 4.0 implementation in the enterprises. The results were further verified by a statistical analysis, using Mann–Whitney test and correlation coefficients. The results indicate that the VPi4 index was consistent in terms of distribution when comparing the results on the verification sample. Its results correlate with the subjective perception of the enterprises, and different levels of the index reflect the difference in technological intensity of the industry. The VPi4 index enables the enterprises to determine their own level of current state of readiness for Industry 4.0, to better prioritize business development. The proposed solution categorizes Industry 4.0 components into a useful theoretical framework. Further research offers the possibility of applying the index in other sectors, its relation to the size of enterprises, and updating with respect to new trends in information technology.

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Section: Discussionmentioning

confidence: 99%

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Vrchota

Pech

2019

Applied Sciences

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“…• Companywide: Many of the considered maturity models focus on companywide aspects. These models aim to digitalize manufacturing or small and midsized companies (SME) and provide guidance during the transformation (e.g., [19,42,47,49,55,60,61]). • Development: The Development product lifecycle phase is only considered by the maturity models presented in [42] and [43].…”

Section: Identified Research Gapmentioning

confidence: 99%

Maturity model for determining digitalization levels within different product lifecycle phases

Siedler

Dupont²,

Zavareh

et al. 2021

Prod. Eng. Res. Devel.

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Maintaining pace with ongoing changes due to digitalization is challenging for manufacturing companies. For successful implementation of digitalization, manufacturing companies must consider their existing technical systems, organizational structures, and processes, as well as social aspects. With the support of a maturity model, a company-specific digitalization level can be evaluated to provide manufacturing companies with an initial insight into their particular status quo; this can serve as a starting point for future optimization and digitalization projects. Furthermore, the results of such an analysis allow objective comparison of different areas within the company and with competitors. In this paper, the “Integrierte Arbeitssystemgestaltung in digitalisierten Produktionsunternehmen” (InAsPro) maturity model is presented, which considers the Development, Production, and Assembly product lifecycle phases, as well as Aftersales, and assesses their digitalization level focusing on the four dimensions of Technology, Organization, Social Issues, and Corporate Strategy. The maturity model’s rating scale distinguishes between four maturity levels. The results given by the InAsPro maturity model for an entire company are presented, along with those for each product lifecycle phase. Extensive descriptions for each specific maturity level are also provided.

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“…Maturity models are a subcategory of models, arising on the software development field, used on an enterprise' assess the quality of implemented processes. The Capability Maturity Model Integration (CMMI) or Software Process Improvement and Capability dEtermination (SPICE) are examples of these models [25]. The maturity of an enterprise is seen by Schumacher et al [6] as the state of progression of internal and external conditions under the concepts of horizontal, vertical, and end-to-end engineering integration of I4.0 on manufacturing systems.…”

Section: Measuring With Readiness Modelsmentioning

confidence: 99%

Tracking the Maturity of Industry 4.0: The Perspective of a Real Scenario

Alcácer

Rodrigues

Carvalho

et al. 2021

Preprint

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In order to track industry 4.0 status, readiness models can be used to analyze the state of indus-try 4.0 technologies’ implementation allowing the quantification and qualification of its readiness level, focusing on different dimensions. To this matter, there are companies unable to relate the industry 4.0 with their business models, leading to a lack of a correct self-assess in order to understand the reached readiness level. Not all companies are adopting these new technologies with the same ease and with the same pace. Into this purpose, it is important to understand how to assess the industry 4.0’ readiness so far and what are the barriers on the adoption of these enabling technologies by the industry. This paper aims to assess the industry 4.0’ readiness level of companies, understand the perception of companies due to the barriers on the adoption of industry 4.0 enabling technologies and bring new barriers for discussion on academic community. To this end, empirical data was collected on a sample of 15 companies belonging to an important industrial cluster in Portugal.

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Concept for an evolutionary maturity based Industrie 4.0 migration model

Cited by 56 publications

References 1 publication

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Readiness of Enterprises in Czech Republic to Implement Industry 4.0: Index of Industry 4.0

Maturity model for determining digitalization levels within different product lifecycle phases

Tracking the Maturity of Industry 4.0: The Perspective of a Real Scenario

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