Effiziente Fabrik 4.0 Darmstadt – Industrie 4.0 Implementierung für die mittelständige Industrie

Anderl, Reiner; Anokhin, Oleg; Arndt, Alexander

doi:10.1007/978-3-662-48278-0_8

Cited by 9 publications

(13 citation statements)

References 4 publications

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“…In VDMA, the lowest value for each application's performance is scored by 1, indicating that the application has not performed. Assessment of VDMA, which consists of five performance levels in each application, can be interpreted as a score of 1-5 from lowest to highest performance (Anderl, 2016). If it is viewed at INDI 4.0, the lowest score is 0, and the highest is 4 (Efendi, 2022).…”

Section: Finding and Discussionmentioning

confidence: 99%

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

Sayekti,

Suhariadi,

Herachwati

2023

bmss

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Developed countries have implemented Industry 4.0 in the process and manufacturing industry sectors. Industry 4.0 transformation will positively impact the industry and the country. Indonesia introduced a guide for the industry in transforming to Industry 4.0 in its action for Making Indonesia 4.0. The Indonesia Industry 4.0 Readiness Index (INDI 4.0) is presented to assist the industry in carrying out transformations, with the pillar of human resources as the highest parameter. It is necessary to conduct an early evaluation of the industry to introduce INDI 4.0. This research aims to evaluate the level of industry readiness in transforming to Industry 4.0. The method in this study used a survey of Small and Medium Industries (SMI=IKM) in Bogor City. Three SMIs were selected for interviews according to INDI 4.0 guidelines and Toolbox Industrie 4.0. The evaluation results using the INDI 4.0 guidelines show that SMI A has a higher level of readiness, followed by SMI C and B. In line with the results of the INDI 4.0 assessment, Toolbox Industrie 4.0 also has the same results. SMI A has a higher level of readiness, followed by SMI C and B. In Toolbox Industrie 4.0, there is no element of assessment for human resources due to cultural differences between Germany and Indonesia, which still require special attention for human resources.

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Section: Finding and Discussionmentioning

confidence: 99%

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

Sayekti,

Suhariadi,

Herachwati

2023

bmss

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“…Examples of OT include supervisory control and data acquisition (SCADA), distributed control system (DCS), programmable logic controllers (PLCs), smart gateways, and smart sensors (Morgan et al, 2021). In line with that, this study takes as a reference the 17 principles characterising I4.0 described in de Paula Ferreira et al (2020) and the list of 112 technologies related to I4.0 presented in Gartner (2020), classified by deployment stage, risk and enterprise value, which can be combined in different I4.0 scenarios for application (Anderl et al, 2016).…”

Section: Industry 40 In Smesmentioning

confidence: 98%

Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach

Ferreira

Armellini

Santa-Eulalia

et al. 2022

Journal of Manufacturing Systems

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“…According to research by De Bruin, for example, more than 150 different maturity models were already in place by 2005 [22]. Established Industry 4.0 specific approaches in practice include the acatech Maturity Index [14] or the VDMA Guideline [74]. Knowing the degree of one's digitalization in comparison to the competition is an essential prerequisite for the successful digital transformation of a company [15].…”

Section: Peculiarities Compared To Literaturementioning

confidence: 99%

Increasing Firm Performance through Industry 4.0—A Method to Define and Reach Meaningful Goals

Koldewey

Hobscheidt

Pierenkemper³

et al. 2022

Sci

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Industry 4.0 is one of the most influential trends in manufacturing as of now. Coined as the fourth industrial revolution it promises to overthrow entrenched structures opening new pathways for innovation and value creation. Like all revolutions, it is accompanied by disruption and uncertainty. Consequently, many manufacturing companies struggle to adopt an Industry 4.0 perspective that benefits their performance. Hence, our goal was to develop a method for increasing firm performance through Industry 4.0. A key factor was to focus on the entire company as a socio-technical system to depict the numerous interactions between people, technology, and business/organization. To realize the method, we combined consortium research, design science, and method engineering. We gathered comprehensive data from workshops, interviews, and five case studies, which we used to develop the method. It consists of four phases: a maturity model to determine the status quo, a procedure to derive a target position, a pattern-based approach to design the socio-technical system, and a procedure to define a transformation setup. Our approach is the first to combine maturity models with foresight and extensive prescriptive knowledge. For practitioners, the method gives orientation for the future-oriented planning of their transformation processes.

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Effiziente Fabrik 4.0 Darmstadt – Industrie 4.0 Implementierung für die mittelständige Industrie

Cited by 9 publications

References 4 publications

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

Evaluation of Human Resources Pillars in Industry Readiness Index to Transform towards Industry 4.0

Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach

Increasing Firm Performance through Industry 4.0—A Method to Define and Reach Meaningful Goals

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