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Editorial

Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)

by
Ana María Camacho
* and
Eva María Rubio
Department of Manufacturing Engineering, Industrial Engineering School, Universidad Nacional de Educación a Distancia (UNED), St/Juan del Rosal 12, E28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(5), 1590; https://doi.org/10.3390/app10051590
Submission received: 24 February 2020 / Accepted: 25 February 2020 / Published: 27 February 2020

Abstract

:
The Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) has been launched as a joint issue of the journals “Applied Sciences” and “Materials”. The 10 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in production planning, sustainability, metrology, cultural heritage, and materials processing with experimental and numerical results. It is worth mentioning how the topic “production planning” has attracted a great number of contributions in this journal, due to their applicative approach.

After the complete success of the first edition [1] with 48 contributions on emerging methods and technologies, the Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) [2] was launched as a joint issue of the journals “Applied Sciences” and “Materials”.
Once again, this Special Issue was promoted by the Manufacturing Engineering Society (MES) [3] of Spain, with the aim of covering the wide range of research lines developed by the members and collaborators of the MES and other researchers within the field of Manufacturing Engineering.
In this Special Issue of the journal Applied Sciences, cutting-edge advances in production planning, sustainability, metrology, cultural heritage, and materials processing with experimental and numerical results have been published.
Concretely, the contributions have been mainly focused on the topics: additive manufacturing and 3D printing, with a contribution presenting the use of 3D printing with training purposes in the field of primary care [4]; advances and innovations in manufacturing processes, more specifically in the deep drawing of Inconel 718 applying different thermal treatments [5]; sustainable and green manufacturing, considering dry machining conditions in the turning of aluminum alloys used in aeronautical industry [6]; manufacturing of new materials such as a carbon fiber reinforced plastic (CFRP) laminates by drilling, using multiple sensor monitoring [7]; metrology and quality in manufacturing through the development of a bidimensional system for nanopositioning with uncertainty assessment [8]; manufacturing engineering and society, with a work presenting the use of hyperspectral imaging techniques with application in the conservation of cultural heritage [9]. Finally, it is worth mentioning how the topic “production planning” has attracted a great number of contributions in this journal due to their applicative approach, presenting the latest advances in methods with applications in the metallurgical [10], automotive [11], and military [12] industries, and involving innovative techniques such as machine learning and data mining [13].
After only three months since the publication of the first work [9], all the papers present prominent activity in their “article metrics”, being remarkable how some of the papers belonging to this Special Issue have more than five hundred abstract and full-text views, which is clear evidence of the interest in all of these topics in readers of the journal Applied Sciences, in general, and scientists and professionals from the industry in particular.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Rubio, E.M.; Camacho, A.M. Special Issue of the Manufacturing Engineering Society (MES). Materials 2018, 11, 2149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019). Available online: https://www.mdpi.com/journal/materials/special_issues/SIMES_2019 (accessed on 20 February 2020).
  3. Sociedad de Ingeniería de Fabricación. Available online: http://www.sif-mes.org/ (accessed on 20 February 2020).
  4. Luque, M.C.; Calleja-Hortelano, A.; Romero, P.E. Use of 3D printing in model manufacturing for minor surgery training of general practitioners in primary care. Appl. Sci. 2019, 9, 5212. [Google Scholar] [CrossRef] [Green Version]
  5. Ulibarri, U.; Galdos, L.; Sáenz de Argandoña, E.; Mendiguren, J. Experimental and Numerical Simulation Investigation on Deep Drawing Process of Inconel 718 with and without Intermediate Annealing Thermal Treatments. Appl. Sci. 2020, 10, 581. [Google Scholar] [CrossRef] [Green Version]
  6. Martín-Béjar, S.; Javier, F.; Vilches, T.; Gamboa, C.B.; Hurtado, L.S. Cutting Speed and Feed Influence on Surface Microhardness of Dry-Turned UNS A97075-T6 Alloy. Appl. Sci. 2020, 10, 1049. [Google Scholar] [CrossRef] [Green Version]
  7. Teti, R.; Segreto, T.; Caggiano, A.; Nele, L. Smart Multi-Sensor Monitoring in Drilling of CFRP/CFRP Composite Material Stacks for Aerospace Assembly Applications. Appl. Sci. 2020, 10, 758. [Google Scholar] [CrossRef] [Green Version]
  8. Díaz-Pérez, L.; Torralba, M.; Albajez, J.A.; Yagüe-Fabra, J.A. 2D positioning control system for the planar motion of a nanopositioning platform. Appl. Sci. 2019, 9, 4860. [Google Scholar] [CrossRef] [Green Version]
  9. Bayarri, V.; Sebastián, M.A.; Ripoll, S. Hyperspectral imaging techniques for the study, conservation and management of rock art. Appl. Sci. 2019, 9, 5011. [Google Scholar] [CrossRef] [Green Version]
  10. Gejo García, J.; Gallego-García, S.; García-García, M. Development of a Pull Production Control Method for ETO Companies and Simulation for the Metallurgical Industry. Appl. Sci. 2020, 10, 274. [Google Scholar] [CrossRef] [Green Version]
  11. Gallego-García, S.; Reschke, J.; García-García, M. Design and simulation of a capacity management model using a digital twin approach based on the viable system model: Case study of an automotive plant. Appl. Sci. 2019, 9, 5567. [Google Scholar] [CrossRef] [Green Version]
  12. Acero, R.; Torralba, M.; Pérez-Moya, R.; Pozo, J.A. Value stream analysis in military logistics: The improvement in order processing procedure. Appl. Sci. 2020, 10, 106. [Google Scholar] [CrossRef] [Green Version]
  13. Qiu, Y.; Ji, W.; Zhang, C. A hybrid machine learning and population knowledge mining method to minimize makespan and total tardiness of multi-variety products. Appl. Sci. 2019, 9, 5286. [Google Scholar] [CrossRef] [Green Version]

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MDPI and ACS Style

Camacho, A.M.; Rubio, E.M. Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019). Appl. Sci. 2020, 10, 1590. https://doi.org/10.3390/app10051590

AMA Style

Camacho AM, Rubio EM. Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019). Applied Sciences. 2020; 10(5):1590. https://doi.org/10.3390/app10051590

Chicago/Turabian Style

Camacho, Ana María, and Eva María Rubio. 2020. "Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)" Applied Sciences 10, no. 5: 1590. https://doi.org/10.3390/app10051590

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