FLEXIBLE, SMART MANUFACTURING SYSTEMS AND INDUSTRIAL ENERGY MANAGEMENT SYSTEM IN AUTOMOTIVE FIELD
Abstract
References
Supekar, S.D., Graziano, D.J., Riddle, M.E., Nimbalkar, S.U., Das, S., Shehabi, A., Cresko J., A framework for quantifying energy and productivity benefits of smart manufacturing technologies, Procedia CIRP, 80, pp. 699–704, DOI: 10.1016/j.procir.2019. 01.095, 2019.
Cronin, C., Conway, A., Walsh, J., Flexible manufacturing systems using IIoT in the automotive sector, Procedia Manufacturing, 38, pp. 1652–1659, DOI: 10.1016/j.promfg. 2020.01.119, 2019.
Hiremath, M.S., Praveen, N., Subhadarshini L., Sivanandan, S.K., Hiremath, J.S., Hiremath, S.S., Smart Manufacturing: Navigating Challenges, Seizing Opportunities, and Charting Future Directions-A Comprehensive Review, Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 271–298, DOI: 10.1201/ 9781003473886-14, 2024.
Yesilyurt, O., Schlereth, A., Gärtner S., Issa A., Oberle M., Technologies Enabling Smart Manufacturing, Handbook on Smart Battery Cell Manufacturing: The Power of Digitalization, pp. 33–46, DOI: 10.1142/ 9789811245626_0003, 2022.
Tristán, A., Heuberger, F., Sauer, A., A methodology to systematically identify and characterize energy flexibility measures in industrial systems, Energies, 13 (22), art. no. 5887, DOI: 10.3390/en13225887, 2020.
Sun, Z., Wei, D., Wang L., Li L., Simulation-based production scheduling with optimization of electricity consumption and cost in smart manufacturing systems, IEEE International Conference on Automation Science and Engineering, 2015-October, art. no. 7294228, pp. 992–997, DOI: 10.1109/ CoASE.2015.7294228, 2015
Chaudhari, S., Gupta, D., Gopalakrishnan, B., Using IAC database for longitudinal study of small to medium sized automotive industry suppliers' energy intensity changes, SAE Technical Papers, 2, 2013.
Kostal, P., Mudrikova, A., Laboratory of flexible manufacturing system, Advanced Materials Research, 429, pp. 31–36, DOI: 10.4028/www.scientific.net/AMR.429.31, 2012.
Cronin, C., Awasthi, A., Conway, A., O'Riordan, D., Walsh, J., Design and development of a material handling system for an autonomous intelligent vehicle for flexible manufacturing, Procedia Manufacturing, 51, pp. 493–500, DOI: 10.1016/j.promfg.2020.10.069, 2020.
Phuyal S., Bista D., Bista R., Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review, Sustainable Futures, 2, art. no. 100023, DOI: 10.1016/j.sftr.2020.100023, 2020.
Dammacco, L., Carli, R., Lazazzera, V., Fiorentino M., Dotoli, M., Simulation-based Design for the Layout and Operation of AGVs in Sustainable and Efficient Manufacturing Systems, Proceedings of the International Conference on Cyber-Physical Social Intelligence, ICCSI 2022, pp. 309–314, DOI: 10.1109/ICCSI55536.2022.9970620, 2022.
Boyd, G.A., Motivating auto manufacturing energy efficiency through performance-based indicators, SAE Technical Papers, DOI: 10.4271/2006-01-0595, 2006.
Feng, L., Ulutan, D., Mears, L., Energy consumption modeling and analyses in automotive manufacturing final assembly process, IEEE Conference on Technologies for Sustainability, SusTech 2015, art. no. 7314350, pp. 224–228, DOI: 10.1109/SusTech.2015.7314350, 2015.
Katchasuwanmanee, K., Bateman, R., Cheng, K., An Integrated approach to energy efficiency in automotive manufacturing systems: quantitative analysis and optimization, Production and Manufacturing Research, 5 (1), pp. 90–98, DOI: 10.1080/21693277.2017.1322539, 2017.
Böttcher, C., Müller, M., Insights on the impact of energy management systems on carbon and corporate performance. An empirical analysis with data from German automotive suppliers, Journal of Cleaner Production, 137, pp. 1449–1457, DOI: 10.1016/j.jclepro.2014.06.013, 2016.
Sun, Z., Wei, D., Wang L., Li, L., Simulation-based production scheduling with optimization of electricity consumption and cost in smart manufacturing systems, IEEE International Conference on Automation Science and Engineering, 2015 October, art. no. 7294228, pp. 992–997, DOI: 10.1109/CoASE.2015.7294228, 2015.
Abedin, A., Car assembly plant cogeneration system, ASHRAE Journal, 53 (1), pp. 38–46, 2011.
Marconi, M., Menghi, R., A sustainable manufacturing tool for the analysis and management of resource consumption within production processes, International Journal on Interactive Design and Manufacturing, 15 (1), pp. 65–68, DOI: 10.1007/s12008-020-00720-6, 2021.
Delabeye, R., Penas, O., Ghienne, M., Kosecki, A., Dion, J.-L., MBSE analysis for energy sustainability improvement in manufacturing industry, ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings, DOI: 10.1109/ISSE51541.2021.9582502, 2021.
Dutrow, E., Boyd, G.A., Motivating industrial energy efficiency through performance-based indicators, Proceedings ACEEE Summer Study on Energy Efficiency in Industry, pp. 1-46, 2005.
Serralung,a F., Ruiz, J.P., Ruiz, D., Ruiz, C., Integration of Decision Tools in EMS, Computer Aided Chemical Engineering, 40, pp. 2467–2472, DOI: 10.1016/B978-0-444-63965-3.50413-X, 2017.
Firu, A., Țăpîrdea, A., Chivu, O., Feier, A.I., Drăghici, G. The competencies required by the new technologies in Industry 4.0 and the development of employees' skills, ACTA TECHNICA NAPOCENSIS, Vol. 64, Issue Special I, January, pp. 109-116, 2021.
Feier, A., Banciu, F., Ergonomic aspects of real and virtual welding tools, in Acta Tehnica Napocensis/Series Applied mathematics, mechanics and Engineering, vol.64, No.1-S1 https://atna-mam.utcluj.ro/ index.php/Acta/article/view/1502, 2021.
Țăpîrdea, A.I., Drăghici, G. Big data role in smart manufacturing, in Acta Tehnica Napocensis/Series Applied mathematics, mechanics and Engineering, Vol 65, No 4S, 2022.
Procedura companie automotive – sisteme IMES
Refbacks
- There are currently no refbacks.