Analysis of Industry 4.0 Readiness Indexes and Maturity Models and Proposal of the Dimension for Enterprise Information Systems

Basl, Josef

doi:10.1007/978-3-319-99040-8_5

Cited by 26 publications

(24 citation statements)

References 15 publications

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“…Zvetko et al [54] proposed an Industry 4.0 assessment model for regional development. The above research shows that various maturity models or assessments (see Table 1) have certain validity on the maturity level of smart manufacturing [6,7,52,[54][55][56][57][58][59][60][61][62][63][64].…”

Section: Maturity Assessment Modelmentioning

confidence: 99%

“…Canetta et al [65] reported that most studies have used standard models for digital maturity assessments, but these models do not illustrate the practical process of transformation. Basl [55] pointed out that using the model to assess maturity can be done at both the macro (social or national) and micro (enterprise) levels. PwC [6] provides an online tool to assess the level of maturity of the enterprise to determine the next step of improvement actions.…”

Section: Maturity Assessment Modelmentioning

confidence: 99%

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Project-based maturity assessment model for smart transformation in Taiwanese enterprises

Lin

Wang

2021

PLoS ONE

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As smart technology proliferates, enterprises must engage not only in the transformation of intelligence but contend with pressure do so as soon as possible. Smart transformation is critical for manufacturing enterprises in the development of smart manufacturing. This study addressed the gap between maturity models and project management by designing an effective assessment framework for smart transformation. It adopts the Smart Industry Readiness Index, created by the Singapore Economic Development Board, as a maturity assessment model to analyze enterprises’ smart transformation and formulate project management strategies. Enterprises can use this model to examine the maturity level of their transformation and assess scope for improvement in their project strategies and implementation barriers. This study focuses on Taiwanese enterprises using data collected from 165 valid questionnaires and subjected to a cluster analysis. Enterprises were divided into three categories. The results reveal that, first, most enterprises’ smart transformation is at an immature or medium-maturity level, and is therefore amenable to further improvement. Second, inconsistent with research findings, many enterprises invest in transformation projects but fail to advance these projects to maturity. Third, most enterprises’ project management plans fail to meet actual transformation needs. Using the thematically oriented maturity model proposed in this study, Taiwanese enterprises can effectively evaluate the maturity of their transformation projects. In conclusion, the study highlights that Taiwanese enterprises must identify more effective external resources to strengthen their competitiveness.

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Section: Maturity Assessment Modelmentioning

confidence: 99%

Section: Maturity Assessment Modelmentioning

confidence: 99%

Project-based maturity assessment model for smart transformation in Taiwanese enterprises

Lin

Wang

2021

PLoS ONE

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“…The Fourth Industrial Revolution represents transformation to new systems that bring together physical and digital technologies to an increasingly connected population of active users. Vast academic literature exploring the enabling technologies, benefits, opportunities, enablers, challenges, readiness, maturity and transformation strategies for Industry 4.0 [I4.0] has been published in the last three years (Basl, 2018). These studies emphasize the enhancement from isolated industrial activities to an integrated and automated value chain (Strange and Zucchella, 2017).…”

Section: Introductionmentioning

confidence: 99%

A holistic model for Global Industry 4.0 readiness assessment

Tripathi

Gupta

2021

BIJ

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PurposeTransformation to Industry 4.0 has become crucial for nations, and a coherent transformation strategy requires a comprehensive picture of current status and future vision. This study presents a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature.Design/methodology/approachA holistic approach is taken considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers. The indicators used for evaluation are standard metrics for which data are collected from reputed sources such as World Bank, United Nations Educational Scientific and Cultural Organization (UNESCO), World Economic Forum (WEF) and International Organization for Standardization (ISO), and hence internationally acceptable.FindingsThe formulated model is used to evaluate Industry 4.0 readiness of 126 economies that account for 98.25% of world’s gross national income. Observations show poor scores of most economies on innovation capability and cybersecurity dimension as compared to other 5 dimensions. In 75% countries, I4.0 readiness score is below 0.5 on a scale of 0–1(completely ready), highest being 0.65 for Denmark.Originality/valueA systematic literature review revealed lack of assessment models discussing a nation's current status or readiness for Industry 4.0. This academic study is first of its kind.

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“…In such analysis, many variations of improvements come into being and there are too many possible combinations of their implementation. If it is not possible to test all determined arrangements, we only analyse the variants, which are chosen on the basis of our opinion, intuition and our knowledge about the research object [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Optimisation of production processes with the use of the modelling and simulation method

Plinta

Grznár

2019

MATEC Web Conf.

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The paper presents an application of the modelling and simulation method for finding an optimum solution related to designing production processes. Using simulation in connection with optimization makes it possible to check almost all admissible variants of the proposed improvements comparatively quickly in order to evaluate them and to choose the best solution. The paper presents how a simulation model is created and shows an example of multi-criteria optimization.

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Analysis of Industry 4.0 Readiness Indexes and Maturity Models and Proposal of the Dimension for Enterprise Information Systems

Cited by 26 publications

References 15 publications

Project-based maturity assessment model for smart transformation in Taiwanese enterprises

Project-based maturity assessment model for smart transformation in Taiwanese enterprises

A holistic model for Global Industry 4.0 readiness assessment

Optimisation of production processes with the use of the modelling and simulation method

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