Advanced Manufacturing or Industry 4.0 Scholarly Works: Are They Relevant to Technology Development?

2021 ◽  
pp. 349-358
Author(s):  
Izaskun Alvarez-Meaza ◽  
Jon Borregan-Alvarado ◽  
Ernesto Cilleruelo-Carrasco ◽  
Rosa Maria Rio-Belver
Author(s):  
E. N. Lapteva ◽  
O. V. Nasarochkina

The paper deals with problem analysis due to domestic engineering transition to the Industry 4.0 technology. It presents such innovative technologies as additive manufacturing (3D-printing), Industrial Internet of Things, total digitization of manufacturing (digital description of products and processes, virtual and augmented reality). Among the main highlighted problems the authors include a lack of unification and standardization at this stage of technology development; incompleteness of both domestic and international regulatory framework; shortage of qualified personnel.


Author(s):  
Renan Bonnard ◽  
Márcio Da Silva Arantes ◽  
Rodolfo Lorbieski ◽  
Kléber Magno Maciel Vieira ◽  
Marcelo Canzian Nunes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Brittes Benitez ◽  
Mateus Ferreira-Lima ◽  
Néstor F. Ayala ◽  
Alejandro G. Frank

Purpose The provision of Industry 4.0 solutions demands a vast range of technology domains. To provide these solutions, small and medium-sized enterprises (SMEs) may need the support of different supply chain actors through an inbound open innovation strategy. The authors study the contribution of four types of supply chain actors for inbound open innovation: suppliers, competitors with complementary technologies, R&D centers and customers. The authors analyze how these four actors moderate the effect of integrated Industry 4.0 solutions on three main competitive strategies: cost, focalization and differentiation. Design/methodology/approach The authors conducted a survey on 77 SMEs from the automation sector, using OLS regression with moderating effects. They considered the integration of 15 technologies and 7 classic automation activities in the provision of Industry 4.0 solutions. The authors also studied three competitive outputs – technology cost reduction (cost), customer loyalty (focalization) and technology innovation (differentiation) – as well as four supply chain actors (moderators). Findings Expanding the provision of Industry 4.0 technologies increases customer loyalty and technology innovation. Collaboration with competitors (complementary technologies) leverage these results and reduce technology costs. Integration between customers and R&D centers elevates costs but R&D centers can foster long-run innovation. Originality/value This study is the first to empirically investigate inbound open innovation in the supply chain for technology development in the context of Industry 4.0. The authors discuss how these actors contribute to four inbound open innovation activities: technology scouting; horizontal technology collaboration; vertical technology collaboration; and technology sourcing.


1987 ◽  
Vol 31 (10) ◽  
pp. 1156-1160 ◽  
Author(s):  
Michelle M. Robertson ◽  
Ann Majchzark

This paper examines and discusses the implications of a macroergonomic perspective for assimilating advanced manufacturing technological innovations into an organization's human infrastructure. A framework for integrating sociotechnical systems and advanced manufacturing technology design is presented which identifies first-and second-order effects of the new technology on the human infrastructure. The Human Infrastructure Impact Statement (HISS) operationalizes these concepts into a systematic assessment tool. This paper ends with a brief list of some of the pertinent macroergonomic decisions that a manager and a macroergonomist must consider in implementing and designing Advance Manufacturing Technologies.


2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Julio Takashi Cavata ◽  
Alexandre Augusto Massote ◽  
Rodrigo Filev Maia ◽  
Fábio Lima

Abstract: Advanced Manufacturing or Industry 4.0 concepts bring new advances and challenges to current industrial processes. Such concepts are not always well understood and their results in terms of production performance may not be clear. This work proposes a comparison between a traditional manufacturing process and an advanced manufacturing process, both modelled by a multiagent society. In the traditional manufacturing simulation, the agents follow the defined times of each process, including the maintenance times. In the advanced manufacturing simulation, the decision about when to stop a piece of equipment for maintenance is defined by the agent according to data received from sensors and the definitions of the process. The results indicate a significant improvement in equipment usage and consequently higher production in the same time interval. The process simulation clearly indicates that the application of advanced manufacturing concepts in industry is relevant in order to increase the efficiency of production processes. Among the main concepts introduced in advanced manufacturing models are the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI). The models generated are computationally simulated using an agent-based simulation method from the software AnyLogic. The results obtained should contribute to encouraging small and medium sized enterprises to adopt the concepts of Industry 4.0 in their businesses.


2021 ◽  
Vol 15 (3) ◽  
pp. 6-21
Author(s):  
Yuri Simachev ◽  
◽  
Anna Fedyunina ◽  
Maksim Yurevich ◽  
Mikhail Kuzyk ◽  
...  

Advanced Manufacturing (AM) markets are a major factor of contemporary worldwide growth that to a large extent determines countries’ competitiveness. Strengthening and/or optimizing the positions on AM markets is among the major challenges for modern industrial policy. This article discusses the structure and dynamics of the development of advanced manufacturing markets, as well as the specifics of the policies of the countries strengthening their positions in these markets. Gaining entry into AM markets currently implies individual countries’ and industries’ adopting different models which combine a wide range of factors. Small nations are rapidly applying such approaches, gaining advantages and thus increasing their competitive edge, which creates certain challenges for leading high-tech countries too slow to adjust their industrial policies. So far the basis for Industry 4.0 markets is just emerging, and remains limited to a few nations including developing ones. Country cases are presented below to illustrate the development of AM markets. The authors conclude that in the current context, no universal approaches to shaping a successful industrial policy remain. The most productive strategy is to combine the unique advantages of a particular economy.


2020 ◽  
Vol 16 ◽  
pp. 1224-1238
Author(s):  
Vlada V. Brilliantova ◽  
Valeriya V. Vlasova ◽  
Konstantin S. Fursov

The development and renewal of production technologies are among the key factors determining the competitiveness and sustainable economic growth of companies. At the same time, the spread of advanced manufacturing technologies (AMT), influencing the effectiveness of resource potential, is uneven across Russian regions. The paper focuses on the diverse application patterns of advanced manufacturing technologies in the groups of regions, classified depending on key parameters of their economic development, i.e., the structure of production and employment as well as gross regional product (GRP) per capita adjusted for price factor. To examine the relationship between socio-economic parameters of regional development and technological portfolios of local enterprises, we analysed the indices of technological diversity and self- reliance of enterprises. For that purpose, we used the data from the national statistical survey on the development and use of AMT by enterprises for 2011– 2018. The conducted analysis indicates that independent technology development is not a priority for most Russian regions. Moreover, all types of regions (except for some agricultural ones) demonstrate the priority of technology imports. However, the demand for national R&D results is gradually growing and increases opportunities for research and educational institutions to enter the technology market, provided there are sustainable mechanisms for transferring the knowledge to the real economy. Successful examples include the developed regions relying on the extractive and manufacturing industries as well as the areas where leading entities managed to link scientific and industrial components. Future studies can focus on testing the obtained results using classifications based on principles other than the similarity of socio-economic conditions of regions.


Sign in / Sign up

Export Citation Format

Share Document