Industrie 4.0 – ein Ausblicksversuch

Andelfinger, Volker P.; Hänisch, Till

doi:10.1007/978-3-658-15557-5_17

Cited by 2 publications

(2 citation statements)

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“…Especially small and medium-sized enterprises (SMEs) are confronted with these obstacles, which encounter in form of insufficient predictability of the effects of individual I4.0 technologies in conjunction with high initial investments or increasing overall system complexity through the use of I4.0 as well as insufficiently fulfilled basic infrastructural prerequisites. (Andelfinger and Hänisch, 2017;Erol et al, 2016;Matt et al, 2020;Schröder, 2016;Wichmann et al, 2019) In contrast to large companies, SMEs are at a particular disadvantage in this regard due to lower liquidity as well as lower resource availability for assessing the impact of individual I4.0 technologies. (Faller and Feldmüller, 2015;Koch et al, 2014;Schneider et al, 2020)…”

Section: Obstacles Of the I40 Technology Implementationmentioning

confidence: 99%

Potential Model - Methodical Evaluation of Industry 4.0 Technologies

2021

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With regard to the currently perceptible technological, social and economic change, also known as the “Fourth Industrial Revolution” or “Internet of Things”, small and medium-sized enterprises (SMEs) in particular are confronted with various obstacles in their attempt of keeping pace. For example, there is a lack of orientation of which I4.0 technology is suitable for a target-oriented application. Furthermore, the actual or potential effects of I4.0 can only be estimated insufficiently and SMEs are at a disadvantage compared to large companies due to lower monetary and personnel capacities. In this publication these obstacles on the way to become an I4.0 company are taken up and the core elements of a methodical solution approach in the form of the “Potential Model” are explained in detail. Thereby the Potential Model is intended to support SMES at the rough-quantitative evaluation of I4.0 and the development of I4.0 implementation strategies with minimal monetary and time-related efforts needed.

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Section: Obstacles Of the I40 Technology Implementationmentioning

confidence: 99%

Potential Model - Methodical Evaluation of Industry 4.0 Technologies

2021

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“…The fourth industrial revolution can help in the pursuit of these goals, as there is a high potential for cost reduction [4]. In this context, two keywords are therefore frequently mentioned: "Big Data" and "datadriven forecasting" [5]. Big Data is understood to mean the collection, storage, and evaluation of large amounts of data, and forecasting is understood to mean analysis and optimization, including predictability [6].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Forging Tools on the Basis of Subjective Assessment of Tool Life

Karaman

Labs

Marre

2023

AMR

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Forging tools must be able to withstand very strong mechanical, thermal, tribological, and chemical stresses. The extent to which a tool can withstand these stresses depends on the material used and its pre-treatment as well as the heat and surface treatment, i.e. the load capacity. The ratio of stress to load capacity determines how high the tool life of a forging tool is. This paper deals with the variations in the tool life of forging tools using the example of a specific industrial stage sequence and production conditions. Due to a large number of influencing variables that have an effect on the tool during the entire tool life history, the focus of this work is placed on influencing variables of the forming process. Based on real production parameters of a forging company, which are recorded during a period for the investigation, the process data are analyzed about an influence on the tool life. The investigation focuses on four influencing variables, namely the subjective assessment of the end of the tool life, the interaction between the forming stages, production interruptions, and the cooling and lubrication of the forming tools. For the parameters that are not yet recorded during the trials, promising available measurement methods are identified and tested under laboratory conditions. One example of this is the recording of the actual spray quantities that are sprayed onto the tool surface before the forming process. The results of the investigations show that the tool life fluctuations can be reduced by about 16% and as a consequence, the average tool life can be increased by about 13%.

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Industrie 4.0 – ein Ausblicksversuch

Cited by 2 publications

References 0 publications

Potential Model - Methodical Evaluation of Industry 4.0 Technologies

Potential Model - Methodical Evaluation of Industry 4.0 Technologies

Investigation of Forging Tools on the Basis of Subjective Assessment of Tool Life

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