Cite
Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation.
MLA
Kaboli, Ali, et al. “Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation.” Energies (19961073), vol. 17, no. 17, Sept. 2024, p. 4401. EBSCOhost, https://doi.org/10.3390/en17174401.
APA
Kaboli, A., Dadras Javan, F., Campodonico Avendano, I. A., Najafi, B., Colombo, L. P. M., Perotti, S., & Rinaldi, F. (2024). Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation. Energies (19961073), 17(17), 4401. https://doi.org/10.3390/en17174401
Chicago
Kaboli, Ali, Farzad Dadras Javan, Italo Aldo Campodonico Avendano, Behzad Najafi, Luigi Pietro Maria Colombo, Sara Perotti, and Fabio Rinaldi. 2024. “Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation.” Energies (19961073) 17 (17): 4401. doi:10.3390/en17174401.