Special Issue “Design and Optimization of Production Lines”
1
School of Engineering, University of Basilicata, 85100 Potenza, Italy
2
CRF WCM Research and Innovation, Campus Manufacturing Melfi, 85025 Potenza, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(22), 8302; https://doi.org/10.3390/app10228302
Submission received: 16 November 2020
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Accepted: 19 November 2020
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Published: 23 November 2020
The classical models for designing production lines follow the objective of balancing the line so as to improve the throughput. Nowadays, the development of sustainable processes is a strategic aspect for the manufacturing industry, and it is a central theme in current innovation projects; the industrial manufacturers study energy-efficient models because of the costs and environmental impact of energy consumption. The latest trends of design and optimization models include the management of reconfigurable machines, switch-off policies, buffer control, and so on, to increase robustness and modularity of production lines and reduce energy consumption.
The “Fourth Industrial Revolution” (alternatively known as “Industry 4.0”) supports innovative models for energy consumption and fault tolerance in automated lines, and this drives the changes in design and optimization models for the production lines.
To meet the objective of sustainable production lines in terms of energy consumption, peak electricity demand and energy efficiency including Industry 4.0 technologies, new innovative models are needed to support the design and management of production lines.
This book includes a series of five research studies that reveal new knowledge about the design and management of sustainable production lines.
The topics covered span many diverse areas associated with the design and management of production lines, such as: production improvement in uncertain environments [1], design of production lines to introduce switch-off policies [2], new technologies [3], statistical data analysis [4,5].
In combination, these complementary contributions provide a substantial body of knowledge in the context of production lines that are currently undergoing an epochal industrial transformation.
Funding
This research received no external funding.
Acknowledgments
This publication was only possible with the invaluable contributions from the authors, reviewers, and the editorial team of Applied Sciences.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Koo, P.-H. A New Self-Balancing Assembly Line Based on Collaborative Ant Behavior. Appl. Sci. 2020, 10, 6845. [Google Scholar] [CrossRef]
- Renna, P.; Materi, S. Design Model of Flow Lines to Include Switch-Off Policies Reducing Energy Consumption. Appl. Sci. 2020, 10, 1475. [Google Scholar] [CrossRef] [Green Version]
- Aleksandrova, I.; Koshelev, E.; Koresheva, E. In-Line Target Production for Laser IFE. Appl. Sci. 2020, 10, 686. [Google Scholar] [CrossRef] [Green Version]
- Zamora-Antuñano, M.A.; Cruz-Salinas, J.; Rodríguez-Reséndiz, J.; González-Gutiérrez, C.A.; Méndez-Lozano, N.; Paredes-García, W.J.; Altamirano-Corro, J.A.; Gaytán-Díaz, J.A. Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors. Appl. Sci. 2019, 9, 3965. [Google Scholar] [CrossRef] [Green Version]
- Murovec, J.; Kušar, J.; Tomaž Berlec, T. Methodology for Searching Representative Elements. Appl. Sci. 2019, 9, 3482. [Google Scholar] [CrossRef] [Green Version]
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Renna, P.; Ambrico, M. Special Issue “Design and Optimization of Production Lines”. Appl. Sci. 2020, 10, 8302. https://doi.org/10.3390/app10228302
AMA Style
Renna P, Ambrico M. Special Issue “Design and Optimization of Production Lines”. Applied Sciences. 2020; 10(22):8302. https://doi.org/10.3390/app10228302
Chicago/Turabian StyleRenna, Paolo, and Michele Ambrico. 2020. "Special Issue “Design and Optimization of Production Lines”" Applied Sciences 10, no. 22: 8302. https://doi.org/10.3390/app10228302
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