Interoperable data extraction and information enrichment system to support smart manufacturing: an experimental application on CNC machining lines of a healthcare product

Helena, Sofia Tonon; Camargo, Victória Romaguera Silva; Amaral, Thomas Victor Belfort; Szejka, Anderson Luis; Leite, Athon Francisco Curi Staben de Moura; Canciglieri, Matheus Beltrame

doi:10.1590/0103-6513.20210058

Cited by 3 publications

(4 citation statements)

References 44 publications

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“…[6] This article proposes an approach for simultaneous cutting of the tooth surface and tooth base using a single step cutting knife. [7] The integrated system gives users the ability to estimate production capacity before actual operation and reduces the test time to develop cutting parameters. [8] Suggest using voxel-based concepts introduced in the computer graphics industry to speed up material removal simulations.…”

Section: Articlementioning

confidence: 99%

“…[6] Improved efficiency, especially for cutting non-ferrous metals, also optimization of tool path to ensure mesh has critical inferior aspects compared to traditional SBG manufacturing forms: efficiency is low and performance, further confirmed by FEM machining accuracy may not guarantee qualified meshing performance. [7] I provide users with a way to evaluate manufacturing performance before performing actual operations and reduce test time for developing cutting parameters.…”

Section: Articlementioning

confidence: 99%

“…Article [3] shows a clear reduction in human errors in order to obtain greater accuracy in data collection and security in storage. Articles [7], [8], [14], [15] and [25] show that an improvement in the performance of the machine was achieved; however, as regards article [7] it was evidenced a challenge which would be to improve even more the technology of metric inspection which proposes a sanitary manufacture using semantic rules and machines of friction. On the other hand, the article [10] obtained surface roughness by applying the automatic coolant supply system, but a limitation found was that lubrication also helps to prevent chips from sticking to the tool, so, if this happened, the chips would hinder the subsequent cutting.…”

Section: Systematizationmentioning

confidence: 99%

See 2 more Smart Citations

Computational Numerical Control (CNC) Machines: A Systematic Review From 2015 To 2022

Espejo Peña,

Acuña Rugel,

De La Cruz Morales

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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The following systematic review tries to group together the most information about machines by computational numerical control (CNC) in order to find the benefits and limitations for the mechanical industry that will lead to optimize the approaches that have been addressed. The method that was carried out in the present work was the methodology based on the PRISMA strategy finding a total of 33 articles, which was divided into 5 approaches that are the following: production, manufacturing systematization, design and maintenance. The results show the impact of CNC machines on both benefits and limitations, in addition to the distribution of found items by years, countries and continental level.

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Section: Articlementioning

confidence: 99%

Section: Articlementioning

confidence: 99%

Section: Systematizationmentioning

confidence: 99%

See 1 more Smart Citation

Computational Numerical Control (CNC) Machines: A Systematic Review From 2015 To 2022

Espejo Peña,

Acuña Rugel,

De La Cruz Morales

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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“…In the last decades, the fourth industrial revolution has pushed the industry to reconsider its manufacturing and logistics processes (Helena et al, 2022) and this digital era is turning the conventional logistics into logistics 4.0. The technological evolution, such as the internet of things (IoT) has resulted in exponential growth of data (Dev et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A framework for logistics performance indicators selection and targets definition: a civil construction enterprise case

Götz

Staudt

Borba

et al. 2023

Prod.

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Paper aims: This paper proposes a roadmap framework based on a literature review to choose the most proper indicators and targets for a given logistics process derived from the organization's strategic goals.Originality: One of the many benefits from the introduction of technologies and the digitization of logistics processes is the acquisition of a great amount of data, which is a valuable asset for an efficient management. In order to transform this data into useful information, most companies rely on performance indicators. In this sense, this paper proposes a roadmap framework based on previous works to guide managers on how to choose a set of indicators that are linked to the company's targets. To the best of our knowledge, no previous research has proposed a framework dealing with target definitions based on historical data and previous standards or benchmarking, as well as the logistics indicators choice based on the representation theory. Research method:In order to elaborate the framework, a two-step structured literature review was carried out, combined with a case application. The literature review included steps based on the works of Govindan & Bouzon (2018) and Moher et al. (2009). The Scopus and the Web of Science databases were selected to gather material to base this study. The framework was applied in a Brazilian construction enterprise, located in Joinville city, Southern Brazil. Main findings:The framework application showed that the methodology can facilitate the selection of indicators linked with the company's strategic goals. Additionally, the indicators legitimation process with managers, a step from the framework, showed that managers' knowledge about the company's processes is essential for a successful logistics performance system implementation. However, the managers can be resistant to changes for new indicators, and this situation should be avoided during the legitimation process. Future studies may expand the methodology application to other areas than logistics, and future applications of the framework in a Logistics 4.0 environment should provide more insights for the model.Implications for theory and practice: From a theoretical perspective, a complete table of logistics performance indicators is provided, as well as the framework for indicators and target definition. From a practical panorama, the framework application shows that practitioners can use this study as a guide to develop more effective logistics performance measurement systems. Moreover, concluding remarks on the relationship between digital transformation and performance measurement systems are provided.

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Data Interoperability in the Healthcare Value Chain: A Systematic Literature Review (Preprint)

Marino¹

2023

Preprint

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BACKGROUND Data Interoperability in healthcare implies smooth information from multiple health- care systems, diverse providers, and multiple patient settings. Data interoperability has become increasingly important since technological advances propose a new landscape to achieve it. However, several barriers exist, such as inconsistent information across multiple sources or organizational resistance to sharing data under the value chain perspective. OBJECTIVE This study outlines a systematic literature review of the current research on data interoperability in the healthcare value chain. METHODS The study analyzed publication datasets from 2011 to 2022 from Scopus, Clarivates, IEEE Xplore, and PubMed/MEDLINE. The study methodology for querying, excluding, including, and selecting relevant research publications from scientific databases is detailed. The chosen research studies are classified and contrasted based on the scope and ontology. RESULTS Our study summarizes the state-of-the-art of healthcare value chain interoperability. The study included published articles from 2012 to 2022 after filtering from 5,834 studies gathered before the inclusion and exclusion criteria. The study found that 60% of the research studies were published from 2012 to 2022, which shows a considerable increment use of considering the interoperability topic in the last decade. CONCLUSIONS Our study is one of the initial efforts to develop a systematic review investigating data interoperability in the healthcare value chain holistically. It was shown that achieving interoperability is challenging because of the different data schemes, data legacy infrastructure, and need for data standardization, among other factors.

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Interoperable data extraction and information enrichment system to support smart manufacturing: an experimental application on CNC machining lines of a healthcare product

Cited by 3 publications

References 44 publications

Computational Numerical Control (CNC) Machines: A Systematic Review From 2015 To 2022

Computational Numerical Control (CNC) Machines: A Systematic Review From 2015 To 2022

A framework for logistics performance indicators selection and targets definition: a civil construction enterprise case

Data Interoperability in the Healthcare Value Chain: A Systematic Literature Review (Preprint)

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