Analyzing Industry 4.0 trends through the Technology Roadmapping Method

El-Warrak, Leonardo; Nunes, M.H.O.; Lyra, Alan; Barbosa, Carlos Eduardo; Lima, Yuri Oliveira de; Salazar, Herbert; Argôlo, Matheus; Souza, Jano Moreira de

doi:10.1016/j.procs.2022.03.066

Cited by 7 publications

(5 citation statements)

References 28 publications

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“…Some studies use the NERMAP system. One of these works involved an analysis of possible trends for Industry 4.0 [1]. When used in collaboration, NERMAP can be a powerful tool, providing a platform for multiple researchers to work on the same topic and share their findings.…”

Section: Discussionmentioning

confidence: 99%

“…We built the NERMAP software, a collaborative Foresight Support System [22] based on the NERMAP framework. The software supports on-site and remote (through the Internet) research of Futures Studies and Foresight fields to generate timelines of future events, as shown in [1][2][3]. The NERMAP model, architecture, and system are discussed in the following sections.…”

Section: Nermapmentioning

confidence: 99%

“…The increased processing speed allows for analysis that would otherwise be infeasible to perform manually. This analysis provided by NERMAP and further refined by humans can be a complete analysis for a Roadmapping process during Futures Studies, as shown in [1][2][3][4]. We can also use it as input for other stages of future studies…”

Section: Introductionmentioning

confidence: 99%

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Toward computer-supported semi-automated timelines of future events

et al. 2023

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During a Futures Study, researchers analyze a significant quantity of information dispersed across multiple document databases to gather conjectures about future events, making it challenging for researchers to retrieve all predicted events described in publications quickly. Generating a timeline of future events is time-consuming and prone to errors, requiring a group of experts to execute appropriately. This work introduces NERMAP, a system capable of semi-automating the process of discovering future events, organizing them in a timeline through Named Entity Recognition supported by machine learning, and gathering up to 83% of future events found in documents when compared to humans. The system identified future events that we failed to detect during the tests. Using the system allows researchers to perform the analysis in significantly less time, thus reducing costs. Therefore, the proposed approach enables a small group of researchers to efficiently process and analyze a large volume of documents, enhancing their capability to identify and comprehend information in a timeline while minimizing costs.

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Section: Discussionmentioning

confidence: 99%

Section: Nermapmentioning

confidence: 99%

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Toward computer-supported semi-automated timelines of future events

et al. 2023

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“…Technology roadmaps can be used to analyze the trends of Industry 4.0, as well as to understand the future development of industries. Through the identification of literature texts, analyzing data related to Industry 4.0, it is anticipated that by 2030, industries will move towards artificial intelligence, automation, and digitization [58]. Semantics are used for big data search analysis to identify key data, integrating them with technology roadmaps.…”

Section: Technology Roadmap (Trm)mentioning

confidence: 99%

The Development Trends of Computer Numerical Control (CNC) Machine Tool Technology

Yao,

Chen,

Pan

et al. 2024

Mathematics

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In the industrial era, production equipment serves as an essential mother machine. In the global manufacturing industry, components such as laptop computers, mobile phones, and automotive parts all strive for aesthetic appearance. Taiwan’s machine tool industry plays a significant role globally. Faced with the constantly changing market environment, the development and competitive advantage of CNC machines are crucial topics for manufacturers. Domestic manufacturers of computer numerical control machines should move towards the integration of automated equipment to accommodate various advanced parts processing procedures. Smart manufacturing will become the trend of the industry in the future. This study invited experts from academia, industry, and research institutions to conduct expert interviews. Their opinions were compiled and analyzed, supplemented by fuzzy Delphi analysis to establish the development trends of various modules. The feasibility and demand of the product’s functional technology for industrial development were analyzed under three research dimensions and eight technical items. A total of 26 key sub-technical items were identified, achieving an expert consensus level of over 80. Furthermore, the importance ranking was analyzed using the fuzzy analytic hierarchy process, and the consistency tests were passed with C.I. < 0.1 and C.R. < 0.1. Finally, the obtained importance ranking of the hierarchical structure was used to predict the future development of computer numerical control machines through a technology roadmap, helping manufacturers use it as a reference model for future development trends to enhance market competitiveness.

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“…The main advantage of using such a tool was the reduced time needed for document analysis. NERMAP has been used in applications such as the technology roadmapping of future Industry 4.0 trends [24,25] and smart and sustainable cities [26]. NERMAP offers a cost-effective solution, an attractive choice for organizations seeking thorough analyses of extensive document volumes that would be impractical to carry out manually.…”

mentioning

confidence: 99%

Towards the Future of Public Health: Roadmapping Trends and Scenarios in the Post-COVID Healthcare Era

El-Warrak,

Nunes,

Luna

et al. 2023

Healthcare

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The COVID-19 pandemic, a transformative event in modern society, has disrupted routine, work, behavior, and human relationships. Organizations, amidst the chaos, have innovatively adapted to the evolving situation. However, many countries were unprepared for the magnitude of the challenge, revealing the fragility of health responses due to inadequate leadership, insufficient resources, and poor information system integration. Structural changes in health systems are imperative, particularly in leadership, governance, human resources, financing, information systems, technology, and health service provision. This research utilizes the Technological Roadmapping method to analyze the health sector, focusing on public health, drawing on articles from SCOPUS and PubMed databases, and creating a roadmap extending to 2050. The research presents three long-term scenarios based on the literature-derived roadmap and explores various alternatives, including integrated care, telemedicine, Big Data utilization, nanotechnology, and Big Tech’s AI services. The results underscore the anticipation of post-pandemic public health with high expectations, emphasizing the importance of integrating health history access, encouraging self-care, and leveraging technology for streamlined treatment. Practical implications include insights for decision makers and stakeholders to inform strategic planning and adapt to evolving industry demands, recognizing the significance of preventive services and the humanizing potential of technology.

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Analyzing Industry 4.0 trends through the Technology Roadmapping Method

Cited by 7 publications

References 28 publications

Toward computer-supported semi-automated timelines of future events

Toward computer-supported semi-automated timelines of future events

The Development Trends of Computer Numerical Control (CNC) Machine Tool Technology

Towards the Future of Public Health: Roadmapping Trends and Scenarios in the Post-COVID Healthcare Era

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