The Role of Interoperability in The Fourth Industrial Revolution Era

Liao, Yongxin; Ramos, Luiz Felipe Pierin; Saturno, Maicon; Deschamps, Fernando; Loures, Eduardo de Freitas Rocha; Szejka, Anderson Luis

doi:10.1016/j.ifacol.2017.08.1248

Cited by 40 publications

(27 citation statements)

References 10 publications

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Section: Definition Of Industry 40mentioning

confidence: 99%

“…This leads to confusion and difficulty considering that interoperability is a fundamental characteristic for the manufacturing systems in Industry 4.0. 24 Accordingly, not every application can be accepted as a correct solution in the Industry 4.0 context, 25 and a set of standards, models, and reference architectures should be followed in order to facilitate the successful implementation of Industry 4.0. 26 Given that Industry 4.0 is one of the many projects adopted in Germany's ''Action Plan High-Tech Strategy 2020,'' its definition is set by the Plattform Industrie 4.0 27 -an official institution founded by the Federal Government and comprised of a range of national and international partnerships, including companies, business associations, trade unions, sciences, and politics.…”

Section: Definition Of Industry 40mentioning

confidence: 99%

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Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

García

Buitrón

Contreras

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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In recent years, Industry 4.0 has gained relevance in the manufacturing sector. On one hand, it is expected that this new paradigm will affect the entire value chain and increase the capabilities of the manufacturing system as a whole, in terms of interoperability and communication throughout factories and beyond. On the other hand, considering that small and medium-sized enterprises represent one of the main forces in economic development and employment generation, focus is shifting toward said manufacturing paradigm in order to ensure competitiveness in the market in the nearby future. However, economic factors could stand in the way of this migration. Thus, digital retrofit is seen as a possibility for the integration of Industry 4.0, paving the way for unappealing technologies to large investment opportunities. In this article, a thorough literary review is performed regarding the formal implementation of Industry 4.0 applications. The result is the Asset Administration Shell model. Afterward, a methodology is proposed for the design and implementation of the Asset Administration Shell, leading to a digital retrofit approach for manufacturing resources. Finally, the methodology is applied in a turning station, thereby validating an increase in the communication and interoperability of the station, which can be used to add overall value to the manufacturing system.

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Section: Definition Of Industry 40mentioning

confidence: 99%

Section: Definition Of Industry 40mentioning

confidence: 99%

Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

García

Buitrón

Contreras

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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show abstract

“…The technologies involved are virtual and augmented reality, additive manufacturing and 3D printing, simulation, big data analytics, cloud technology, cybersecurity, internet of things, miniaturisation of electronics, automatic identification and data collection (AIDC), Radio Frequency Identification (RFID), robotics, drone and nanotechnologies, machine-tomachine communication (M2M), business intelligence (BI). [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Impact of Industry 4.0 Concept on the Levers of Lean Manufacturing Approach in Manufacturing Industries

Ghouat

Haddout

Benhadou

2021

IJAME

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Industrial companies looking for permanent performance are facing challenges of reducing production costs, reducing customer delivery delays and improving their quality products, this lead them to improve their responsiveness and flexibility to meet the varying needs of customers. To cope with these constraints, several industrial companies have adopted the Lean Manufacturing (LM) concept, based on the Toyota production system, to reduce wastage according to a methodical and structured approach that has given this proof for several years, this approach currently finds its limits, since it is based on static data, while a dynamic approach, with real-time data on customer needs and production performance, will readjust the levers of Lean Manufacturing to improve its efficiency. This paper has been aimed to show that the concept Industry 4.0 incarnates the lean Manufacturing approach by feeding it by real-time data and a real-time analysis of Big Data in a Cyber Physical Production System (CPPS), in order to improve decision-making and readjust in real time the levers of the Lean Manufacturing approach

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“…This means that the university carries the mandate to produce and disseminate the latest knowledge as a necessity of students, industry and society. Furthermore, Liao et al [9] signaled all University Colleges in the world to take part and contribute to this new challenge (Industrial Revolution 4.0 era), through laboratory experiments or application-oriented industries (for example Digital software development). Therefore, in facing these challenges, teaching in higher education is also required to change, in order to produce quality future generations.…”

Section: Introductionmentioning

confidence: 99%

Development of Virtual Textile Chemistry Laboratory in Learning Making Cellulose-Based Regeneration Fibers Based on Learning Paradigms in the Industrial Revolution 4.0 Era

Wiana

Ruhidawati

2020

Int J Innov Educ Res

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This study aims to design and create a virtual chemical textile laboratory model as an effort to improve students' understanding of learning Textile Chemistry, especially on the subject of making cellulose-based regenerative textile fibers that have a high level of abstraction and complexity. Theoretical learning in the form of verbal symbols, empirically is not representative enough to explain the concept of the system that is needed, so that the possibility is not affordable (likely to inaccessible) by students which effected to the lessen of learning experiences. These conditions have implications for the lack of student understanding of these processes which is indicated by the acquisition of low learning outcomes. The specific target of this research is to produce a virtual laboratory device as a simulation medium for learning textile chemistry on the subject of making effective cellulose-based regenerative fibers. Furthermore, the model developed is validated to get input from experts related to the technology used, design and process content in the developed model. The validation results show that this model is suitable for use in the study of textile chemistry and can be used to improve students' understanding of the material for making cellulose-based regenerative textile fibers. In the limited trials that have been carried out, there are some features, image choices, and some simulations that need to be refined to avoid students' misinterpretations of the planned chemical process concept. Students involved in the trials are more motivated to continue learning related concepts that have been learned. In subsequent studies this model will be tested on a broader scale to measure its effect on the mastery of concepts and its ability to improve learning outcomes in textile chemistry courses, on the material for making cellulose-based regenerative fibers.

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The Role of Interoperability in The Fourth Industrial Revolution Era

Cited by 40 publications

References 10 publications

Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

Impact of Industry 4.0 Concept on the Levers of Lean Manufacturing Approach in Manufacturing Industries

Development of Virtual Textile Chemistry Laboratory in Learning Making Cellulose-Based Regeneration Fibers Based on Learning Paradigms in the Industrial Revolution 4.0 Era

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