From a literature review to a conceptual framework of enablers for smart manufacturing control

Rojas, Rafael A.; Rauch, Erwin

doi:10.1007/s00170-019-03854-4

Cited by 46 publications

(21 citation statements)

References 132 publications

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“…Furthermore, we provide a comprehensive picture, while other reviews surrounding the research field Industry 4.0 have focused on special aspects of the term, such as: -edge computing [16]; -additive manufacturing/three-dimensional printing [17]; -cyber-physical production systems [18]; -construction industry [19]; -remanufacturing [20]; -environmentally-sustainable manufacturing [21,22]; -interactions with the energy system [23].…”

Section: Introductionmentioning

confidence: 99%

Generating Transparency in the Worldwide Use of the Terminology Industry 4.0

et al. 2019

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In 2011, the concept of Industry 4.0 was introduced and later adopted by the German government, paving the way for a new industrial revolution in Germany. The high significance of this topic is reflected by the large number of corresponding publications. Additionally, the regional focus of research is widespread on a global level and often differs even at a national level. This paper generates transparency regarding the adoption of the concept of Industry 4.0 by analyzing the locations of main contributors within the research field on an international, European, and German-national level. Further, it examines the regionally different foci concerning the concept of Industry 4.0. Having identified four main aspects linked to Industry 4.0 within a pre-study, a quantitative literature research was conducted based on over 800 published papers. The results were further visualized with QGIS. Looking at the results, it can be concluded that the German research community is virtually the only user of the term Industry 4.0, while other institutions seem to link their research to other related concepts. On a German level, the majority of the analyzed studies originate from Southern and Western Germany. North Rhine-Westphalia and the Aachen/Jülich region, in particular, represent main contributors.

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Section: Introductionmentioning

confidence: 99%

Generating Transparency in the Worldwide Use of the Terminology Industry 4.0

et al. 2019

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“… Focus mostly on operation and maintenance of production lines and not on the value chain.  Lack of application frameworks and reference models for CDTs [20].…”

Section: Methodological and Operational Framework For Cdtsmentioning

confidence: 99%

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

Kalaboukas¹,

Rožanec²,

Košmerlj³

et al. 2021

Preprint

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Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. Circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e. able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital Twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of Cognitive Digital Twins (CDTs) and how they can be deployed in connected and agile supply chains is elaborated. The need for CDTs in the supply chain as well as the main CDT enablers and how they can be deployed under an operational model in agile networks is described. Emphasis is given on the modelling, cognition and governance aspects as well as on how a supply chain can be configured as a network of connected CDTs. Finally, a deployment methodology of the developed model into an example of a circular supply chain is proposed.

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“…By collecting essay data and counting the scores, we found that the essay scores showed a certain normal distribution. e essays in the low and perfect score bands occupy a small portion, and the remaining score bands occupy different proportions [19]. Because of the variability of the data in each score band, an intelligent marking model was designed to classify normal essays and low-scoring essays by using a triage scoring method.…”

Section: Marking System Designmentioning

confidence: 99%

Design of English Intelligent Simulated Paper Marking System

Yang

Liu

2021

Complexity

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In this paper, we analyze the intelligent subdesign of the simulated marking system through an in-depth study of it. This paper proposes a correlation analysis-based quantification of N-element sense values and a rationality enhancement-based scoring fitting algorithm for English essays. This paper also extracts word features, sentence features, and chapter structure features in essays to fit English composition scores. Since not all students can complete the essays according to the topic requirements, a triage scoring model is used to separate the normal essays from the low-scoring essays. Statistically, it was found that the essay scores also showed a certain normal distribution. The standard support vector regression algorithm is prone to data skewing problems, so this paper addresses this problem by using a rationality enhancement method that gives a corresponding penalty factor according to the distribution of the dataset. The results show that the English essay scoring fitting algorithm proposed in this paper can well improve the prediction accuracy of some data and solve the problem of skewed data where the scores show a normal distribution. This paper designs and implements an online mock examination system that incorporates an intelligent scoring system for essays, enabling it to meet the needs of teachers and students for online examinations and intelligent scoring.

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From a literature review to a conceptual framework of enablers for smart manufacturing control

Cited by 46 publications

References 132 publications

Generating Transparency in the Worldwide Use of the Terminology Industry 4.0

Generating Transparency in the Worldwide Use of the Terminology Industry 4.0

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – an Operational model

Design of English Intelligent Simulated Paper Marking System

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