S Das - Available at SSRN 4459204, 2023 - papers.ssrn.com
The emergence of Industry 4.0 has transformed traditional manufacturing processes, enabling the integration of digital technologies to enhance efficiency and decision-making …
Research on scheduling problems is an evergreen challenge for industrial engineers. The growth of digital technologies opens the possibility to collect and analyze great amount of …
As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new …
Y Wang, Z Wu - Proceedings of the Institution of Mechanical …, 2022 - journals.sagepub.com
Existing scheduling systems cannot respond quickly and efficiently to the appearance of uncertain variable interference factors in the scheduling process. The efficiency of the …
F Zhang, J Bai, D Yang, Q Wang - Scientific Reports, 2022 - nature.com
The information asymmetry phenomenon widely exists in production management decisions due to the latency of manufacturing data transmissions. Also, stochastic events on the …
H Lee, H Yang - Journal of Manufacturing Science …, 2023 - asmedigitalcollection.asme.org
The new wave of Industry 4.0 is transforming manufacturing factories into data-rich environments. This provides an unprecedented opportunity to feed large amounts of sensing …
A Kaiblinger, M Woschank - Applied Sciences, 2022 - mdpi.com
Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing …
L Liu, K Guo, Z Gao, J Li, J Sun - Sustainability, 2022 - mdpi.com
The traditional shop floor scheduling problem mainly focuses on the static environment, which is unrealistic in actual production. To solve this problem, this paper proposes a digital …