Implementing RAMI4.0 in Production - A Multi-case Study

Hernández, Elder; Senna, Pedro Pinho; Silva, Daniela; Rebelo, Rui; Barros, Ana Cristina; Toscano, César

doi:10.1007/978-3-030-29041-2_6

Cited by 12 publications

(7 citation statements)

References 6 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach is not wrong, but no matter how flexible a reference architecture may be, advocating "one size fits all" approach might slow down the process of adopting I4.0 concept in cases where the implementation of the chosen reference architecture model proves to be too complex e.g. when current industrial landscape demands retrofitting of existing equipment [189].…”

Section: ) Narrowing the Field Of Implementationmentioning

confidence: 99%

SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

2022

View full text Add to dashboard Cite

Recent technological advances encompassed by the smart factory concept have fundamentally changed industrial control systems in the way they are structured and how they operate. Majority of these changes affect Supervisory Control And Data Acquisition (SCADA) systems, shifting them to a higher level of interoperability, heterogeneous networks, big data and toward internet technologies and services in general. However, this transformation does not affect all SCADA systems equally. The immediate industrial environment and controlled processes have a significant impact as well. This paper presents a holistic approach to SCADA systems implemented in continuous flow production control within the steel industry production environment. We outline the multi-layer architecture of the SCADA control framework and the aspects of interoperability and interconnection within the architecture reference models, together with the research challenges and opportunities arising from the recent rapid increasement of the industrial control systems complexity and digital transformation under the Industry 4.0 paradigm, resulting in disrupting levels of the traditional automation pyramid based on Purdue model toward a higher level of integration and interoperability enabling cross-level data exchange empowered by the Industrial Internet of Things. Furthermore, the paper addresses the problem of proprietary SCADA systems and elaborates the causal correlation between SCADA quality requirements and adoption of new technology in relation to the specific industrial environment of the steel manufacturing process.

show abstract

Section: ) Narrowing the Field Of Implementationmentioning

confidence: 99%

SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

2022

View full text Add to dashboard Cite

show abstract

“…However, it has made a lot of in-roads within research and academia. To better illustrate the its utility, a few implementation examples and use cases have been included from the open literature [ 175 , 188 , 189 , 190 , 191 , 192 , 193 ].…”

Section: Conceptual Framework and Reference Architecturesmentioning

confidence: 99%

A Primer on the Factories of the Future

Anumbe

Saidy

Harik

2022

Sensors

View full text Add to dashboard Cite

In a dynamic and rapidly changing world, customers’ often conflicting demands have continued to evolve, outstripping the ability of the traditional factory to address modern-day production challenges. To fix these challenges, several manufacturing paradigms have been proposed. Some of these have monikers such as the smart factory, intelligent factory, digital factory, and cloud-based factory. Due to a lack of consensus on general nomenclature, the term Factory of the Future (or Future Factory) has been used in this paper as a collective euphemism for these paradigms. The Factory of the Future constitutes a creative convergence of multiple technologies, techniques, and capabilities that represent a significant change in current production capabilities, models, and practices. Using the semi-narrative research methodology in concert with the snowballing approach, the authors reviewed the open literature to understand the organizing principles behind the most common smart manufacturing paradigms with a view to developing a creative reference that articulates their shared characteristics and features under a collective lingua franca, viz., Factory of the Future. Serving as a review article and a reference monograph, the paper details the meanings, characteristics, technological framework, and applications of the modern factory and its various connotations. Amongst other objectives, it characterizes the next-generation factory and provides an overview of reference architectures/models that guide their structured development and deployment. Three advanced communication technologies capable of advancing the goals of the Factory of the Future and rapidly scaling advancements in the field are discussed. It was established that next-generation factories would be data rich environments. The realization of their ultimate value would depend on the ability of stakeholders to develop the appropriate infrastructure to extract, store, and process data to support decision making and process optimization.

show abstract

“…Garcia et al [33] present a case study that aimed to increase the level of communication and interoperability in a flexible manufacturing system. Some retrofitting works use a Reference Architectural Model Industry 4.0 (RAMI 4.0)-based approach [24,33,34]. RAMI 4.0 is a kind of framework for the implementation and development of Industry 4.0 applications; although it is an effective method to implement Industry 4.0, often, in old plants, this type of approach needs data that are not available or are difficult to collect.…”

Section: Literature Reviewmentioning

confidence: 99%

Retrofitting a Process Plant in an Industry 4.0 Perspective for Improving Safety and Maintenance Performance

2021

View full text Add to dashboard Cite

The transformation from traditional industry to Industry 4.0 can bring many benefits in various spheres, from efficiency to safety. However, this transition involves adopting technologically advanced machinery with a high level of digitization and communication. The costs and time to replace obsolete machines could be unsustainable for many companies while retrofitting the old machinery. To make them ready to the Industry 4.0 context, they may represent an alternative to the replacement. Even if there are many studies related to retrofitting applied to machinery, there are very few studies related to the literature process industry sector. In this work, we propose a case study of a two-phase mixing plant that needed to be enhanced in the safety and maintainability conditions with reasonable times and costs. In this regard, the Digital Twin techniques and Deep Learning algorithms will be tested to predict and detect future faults, not only already visible and existing malfunctions. This approach strength is that, with limited investments and reasonable times, it allows the transformation of an old plant into a smart plant capable of communicating quickly with operators to increase its safety and maintainability.

show abstract

Implementing RAMI4.0 in Production - A Multi-case Study

Cited by 12 publications

References 6 publications

SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0

A Primer on the Factories of the Future

Retrofitting a Process Plant in an Industry 4.0 Perspective for Improving Safety and Maintenance Performance

Contact Info

Product

Resources

About