scholarly journals Digital Manufacturing in SMEs based on the context of the Industry 4.0 framework – one approach

2021 ◽  
Vol 54 ◽  
pp. 52-57
Author(s):  
Vidosav Majstorovic ◽  
Goran Jankovic ◽  
Srdjan Zivkov ◽  
Slavenko Stojadinovic
2018 ◽  
Vol 44 ◽  
pp. 00059 ◽  
Author(s):  
Dmitry Masailo ◽  
Alexey Orlov ◽  
Vadim Sufiyarov ◽  
Andrey Volkov

The role of additive technologies in industrial development was highlighted, in particular, for implementation of the concept “Industry 4.0”. We discussed their significance for digital manufacturing of parts having complex configuration with internal cavities and functionally gradient properties. We analyzed the main drawbacks of additive technologies and suggested the ways to overcome them. We described the problem in creating the equipment for hybrid technologies on the basis of a processing center and an industrial robot. We developed a concept for creating a Russian-made machine-tool for using hybrid technologies. Solutions are proposed for improving the structure of the material of parts.


2019 ◽  
Vol 105 (9) ◽  
pp. 3565-3577 ◽  
Author(s):  
Yuval Cohen ◽  
Maurizio Faccio ◽  
Francesco Pilati ◽  
Xifan Yao

Author(s):  
William S. Barbosa ◽  
Mariana M. Gioia ◽  
Veronica G. Natividade ◽  
Renan F. F. Wanderley ◽  
Marcelo R. Chaves ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zeyi Miao

PurposeUnder the guidance of the concept of openness and development, the paper grasps the mechanism of technology spillover in developed countries and analyzes how to better absorb advanced manufacturing technology based on empirical analysis so as to point out the path for the transformation and development of China’s digital manufacturing industry.Design/methodology/approachThe paper constructs the panel data model and further analyzes the impact of international technology spillovers on the transformation and development of the digital manufacturing industry.FindingsThis paper measures the level of technology spillover in the Yangtze River Delta region and finds that foreign direct investment (FDI) technology spillover and import trade technology spillover among four provinces and cities show a growth trend from 2010 to 2017. But after 2017, there is a certain degree of decline.Originality/valueWith the advent of industry 4.0, the digital manufacturing industry of all countries in the world is developing with a new attitude, the global technology spillover methods are diverse and the spillover channels have changed greatly, which will affect the transformation and upgrading of China's digital manufacturing industry.


Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 174-179
Author(s):  
Elias Ribeiro da Silva ◽  
Ana Carolina Shinohara ◽  
Christian Petersson Nielsen ◽  
Edson Pinheiro de Lima ◽  
Jannis Angelis

2019 ◽  
Vol 16 (2) ◽  
pp. 261-280 ◽  
Author(s):  
Fábio Lima ◽  
Caroline Nogueira De Carvalho ◽  
Mayara B. S. Acardi ◽  
Eldiane Gomes Dos Santos ◽  
Gabriel Bastos De Miranda ◽  
...  

Goal: The main objective of this study is to analyze the impact of inserting a collaborative robot in a production line of a factory of the automotive sector. Design / Methodology / Approach: Two simulation environments were developed. The first one models the original operation without the collaborative robot. The second one evaluates the impact of inserting the robot. This work is quantitative. Results: The paper presents the use of digital manufacturing tools in a simulation of a collaborative operation between a human and a collaborative robot. The simulations with and without the collaborative robot were performed, and they make it possible to emphasize the benefits of the collaborative operation in a real production line. Limitations of the investigation: The first simulation scenario was validated from the real data provided by the factory. However, the second scenario is a suggestion, emphasizing the benefits of collaborative operation. Implementation of the second scenario was not conducted. Practical implications: Since its completion depended on support from the automotive sector, this work is noticeably practical. The real data used in the first scenario as well as the assumptions made in the second scenario allow one to conclude that it is possible to implement the propositions with the collaborative robot in the chosen line. Originality / Value: The use of the collaborative robot in Brazil was forbidden by regulation until recently. Even in other countries decision makers still find have difficulty deciding for this new technology. For this reason, the benefits of using collaborative robots, mainly in Brazilian companies, is still not clear. This work contributes to the collaborative robot discussion and consequently to Industry 4.0 implementation by creating a digital twin of an existing process and inserting a collaborative robot in it. The results should be used by decision makers to decide for inserting this technology in their factories. 


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