An energy-aware cyber physical system for energy Big data analysis and recessive production anomalies detection in discrete manufacturing workshops
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DOI: 10.1080/00207543.2020.1748904
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Cited by:
- Anwer Mustafa Hilal & Aisha Hassan Abdalla Hashim & Marwa Obayya & Abdulbaset Gaddah & Abdullah Mohamed & Ishfaq Yaseen & Mohammed Rizwanullah & Abu Sarwar Zamani, 2022. "Metaheuristics Based Energy Efficient Task Scheduling Scheme for Cyber-Physical Systems Environment," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
- Xuan Su & Wenquan Dong & Jingyu Lu & Chen Chen & Weixi Ji, 2022. "Dynamic Allocation of Manufacturing Resources in IoT Job Shop Considering Machine State Transfer and Carbon Emission," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
- Ayaskanta Mishra & Amitkumar V. Jha & Bhargav Appasani & Arun Kumar Ray & Deepak Kumar Gupta & Abu Nasar Ghazali, 2023. "Emerging technologies and design aspects of next generation cyber physical system with a smart city application perspective," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 699-721, July.
- Wang, Junya & Zhao, Qinfang & Ning, Ping & Wen, Shikun, 2024. "Greenhouse gas contribution and emission reduction potential prediction of China's aluminum industry," Energy, Elsevier, vol. 290(C).
- Dotun Adebanjo & Pei-Lee Teh & Pervaiz K Ahmed & Erhan Atay & Peter Ractham, 2020. "Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
- Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
- Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
- Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
- Mehmet Ali Soytaş & Damla Durak Uşar & Meltem Denizel, 2022. "Estimation of the static corporate sustainability interactions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(4), pages 1245-1264, February.
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