Migration of Legacy Industrial Automation Systems in the Context of Industry 4.0- A Comparative Study

Zawra, Labib M.; Mansour, Hala A.; Messiha, Nagy W.

doi:10.1109/icfir.2019.8894776

Cited by 14 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Only for the cyber-security aspect, we accept research papers in this section that have the experiments conducted without specific machinery but simulation scenarios, considering the special characteristics of this aspect and its scarcity of research work. • Review the industrial application without any specific proposal in the field [46]- [49]. Since these papers are excluded, thus the total number of papers collected for the synthesis is 98.…”

Section: Keyword Combinationsmentioning

confidence: 99%

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

The ongoing Industry 4.0 is characterized by the connectivity between components in the manufacturing system. For modern machines, the Internet of Things is a built-in function. In contrast, there are legacy machines in deployment functioning without digital communication. The need to connect them became popular to improve overall production efficiency. As building a new smart factory as a greenfield investment is a capital-intensive choice, retrofitting the existing infrastructure with IoT capability is more reasonable than replacing them. However, this so-called brownfield development, or retrofitting, requires specific prerequisites, e.g., digitization status assessment, technical and connectivity development, management requirement, and operational need, representing a significant disadvantage: lack of scalability. In the meantime, Industry 5.0 is under human-centric priority, which poses new challenges to the retrofitted system. Aware of the challenge, this paper provides a systematic overview of brownfield development regarding technical difficulties, supporting technologies, and possible applications for the legacy system. The research scope focuses on available Industry 4.0 advancements but considers preparing for the forthcoming Industry 5.0. The proposed retrofitting project approach can be a guideline for manufacturers to transform their factories into intelligent spaces with minimal cost and effort but still gain the most applicable solution for management needs. The future direction for other research in brownfield development for Industry 5.0 is also discussed.

show abstract

Section: Keyword Combinationsmentioning

confidence: 99%

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Tran

Ruppert

Eigner³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Industry 4.0 introduced technology that requires increased levels of connectivity [100]. This makes the practical implementation of Industry 4.0 difficult when attempting to integrate the enabling technologies whilst guaranteeing robust performance [110]. Barriers, such as legacy system integration with Industry 4.0 technologies, are challenging organisations to adopt new technology.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

6G Opportunities Arising from Internet of Things Use Cases: A Review Paper

et al. 2021

View full text Add to dashboard Cite

The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previous generations have experienced. To provide the readers with a clear map of the current developments, several review papers shared their vision and critically evaluated the state of the art. However, most of the work is based on general observations and the big picture vision, and lack the practical implementation challenges of the Internet of Things (IoT) use cases. This paper takes a novel approach in the review, as we present a sample of IoT use cases that are representative of a wide variety of its implementations. The chosen use cases are from the most research-active sectors that can benefit from 6G and its enabling technologies. These sectors are healthcare, smart grid, transport, and Industry 4.0. Additionally, we identified some of the practical challenges and the lessons learned in the implementation of these use cases. The review highlights the cases’ main requirements and how they overlap with the key drivers for the future generation of wireless networks.

show abstract

“…Automation is a key aspect of Industry 4.0, which is still very challenging for some industries to adopt [61]. This is because full automation across the factory floor requires interconnected machines, reliable communication lines, data collection from multiple sensors, standardized processes, expert knowledge, and skills to tackle the increased complexity, etc.…”

Section: Proposed Problem Statement and Researchmentioning

confidence: 99%

Methodology for Data-Informed Process Improvement to Enable Automated Manufacturing in Current Manual Processes

et al. 2021

View full text Add to dashboard Cite

Manufacturing industries are constantly identifying ways to automate machinery and processes to reduce waste and increase profits. Machines that were previously handled manually in non-standardized manners can now be automated. Converting non-digital records to digital formats is called digitization. Data that are analyzed or entered manually are subject to human error. Digitization can remove human error, when dealing with data, via automatic extraction and data conversion. This paper presents methodology to identify automation opportunities and eliminate manual processes via digitized data analyses. The method uses a hybrid combination of Lean Six Sigma (LSS), CRISP-DM framework, and “pre-automation” sequence, which address the gaps in each individual methodology and enable the identification and analysis of processes for optimization, in terms of automation. The results from the use case validates the novel methodology, reducing the implant manufacturing process cycle time by 3.76%, with a 4.48% increase in product output per day, as a result of identification and removal of manual steps based on capability studies. This work can guide manufacturing industries in automating manual production processes using data digitization.

show abstract

Migration of Legacy Industrial Automation Systems in the Context of Industry 4.0- A Comparative Study

Cited by 14 publications

References 24 publications

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions

6G Opportunities Arising from Internet of Things Use Cases: A Review Paper

Methodology for Data-Informed Process Improvement to Enable Automated Manufacturing in Current Manual Processes

Contact Info

Product

Resources

About