Technical Library: piloting (Page 1 of 1)

Industry 4.0 Capturing value at scale in discrete manufacturing

Technical Library | 2021-06-02 19:39:14.0

With an estimated value creation potential for manufacturers and suppliers of USD 3.7 trillion in 2025,1 high hopes are set on Industry 4.0 to bring the next industrial revolution to discrete manufacturing. Yet, only about 30 percent of companies are capturing value from Industry 4.0 solutions at scale today. Approaches are dominated by envisioning technology development going forward rather than identifying areas of largest impact and tracking it back to Industry 4.0 value drivers. Further governance and organizational anchoring are often unclear. Resulting hurdles related to a lack of clarity regarding business value, limited resources, and an overwhelming number of potential use cases leave the majority of companies stuck in "pilot purgatory."

McKinsey & Company

A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules

Technical Library | 2021-06-02 19:34:48.0

In recent years, there has been dynamic changes in the industrial environment as a result of further innovations called Industry 4.0 (I.4.0), especially in the field of digital technology and manufacturing. Despite numerous examples of the implementation of Industry 4.0 in enterprises, there is no general framework for the implementation of Industry 4.0 with a detailed schedule. Researching the ways of implementing Industry 4.0 is still a current and unexplored area of research. The main aim of the paper is to present the concept of the theoretical framework for Industry 4.0 implementation based on selected schedules of the Industry 4.0 implementation. The paper was based on information from literature review and analysis of pilot enterprise projects to Industry 4.0 (case study) that were conducted in selected enterprises. The paper presents the key components of the framework of Industry 4.0 and the basic stage of implementing the concept in the enterprises, paying attention to their sequence and time frames. The proposed approach is dedicated to researchers and practitioners who implement the concept of Industry 4.0 in enterprises

Silesian University of Technology

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