Zobrazeno 1 - 10
of 3 496
pro vyhledávání: '"VAN JAARSVELD, A."'
Mixed service mode docks enhance efficiency by flexibly handling both loading and unloading trucks in warehouses. However, existing research often predetermines the number and location of these docks prior to planning truck assignment and sequencing.
Externí odkaz:
http://arxiv.org/abs/2412.09090
Autor:
Li, Yiping, van Jaarsveld, Romy, de Jong, Ronald, Bongers, Jasper, Kuiper, Gino, van Hillegersberg, Richard, Ruurda, Jelle, Breeuwer, Marcel, Khalil, Yasmina Al
Robotic-assisted minimally invasive esophagectomy (RAMIE) is a recognized treatment for esophageal cancer, offering better patient outcomes compared to open surgery and traditional minimally invasive surgery. RAMIE is highly complex, spanning multipl
Externí odkaz:
http://arxiv.org/abs/2412.04039
Autor:
de Jong, Ronald L. P. D., Khalil, Yasmina al, Jaspers, Tim J. M., van Jaarsveld, Romy C., Kuiper, Gino M., Li, Yiping, van Hillegersberg, Richard, Ruurda, Jelle P., Breeuwer, Marcel, van der Sommen, Fons
Esophageal cancer is among the most common types of cancer worldwide. It is traditionally treated using open esophagectomy, but in recent years, robot-assisted minimally invasive esophagectomy (RAMIE) has emerged as a promising alternative. However,
Externí odkaz:
http://arxiv.org/abs/2412.03401
Autor:
Temizöz, Tarkan, Imdahl, Christina, Dijkman, Remco, Lamghari-Idrissi, Douniel, van Jaarsveld, Willem
Deploying deep reinforcement learning (DRL) in real-world inventory management presents challenges, including dynamic environments and uncertain problem parameters, e.g. demand and lead time distributions. These challenges highlight a research gap, s
Externí odkaz:
http://arxiv.org/abs/2411.00515
Problem definition: Unexpected component failures in industrial assets can lead to significant financial losses and operational disruptions, making preventive maintenance crucial for reducing unplanned downtime. This study focuses on optimizing maint
Externí odkaz:
http://arxiv.org/abs/2410.18246
Autor:
Jaspers, Tim J. M., de Jong, Ronald L. P. D., Khalil, Yasmina Al, Zeelenberg, Tijn, Kusters, Carolus H. J., Li, Yiping, van Jaarsveld, Romy C., Bakker, Franciscus H. A., Ruurda, Jelle P., Brinkman, Willem M., De With, Peter H. N., van der Sommen, Fons
Publikováno v:
Data Engineering in Medical Imaging. DEMI 2024. Lecture Notes in Computer Science
Over the past decade, computer vision applications in minimally invasive surgery have rapidly increased. Despite this growth, the impact of surgical computer vision remains limited compared to other medical fields like pathology and radiology, primar
Externí odkaz:
http://arxiv.org/abs/2407.17904
Downtime of industrial assets such as wind turbines and medical imaging devices is costly. To avoid such downtime costs, companies seek to initiate maintenance just before failure, which is challenging because: (i) Asset failures are notoriously diff
Externí odkaz:
http://arxiv.org/abs/2401.04574
Methods to generate realistic non-stationary demand scenarios are a key component for analyzing and optimizing decision policies in supply chains. Typical forecasting techniques recommended in standard inventory control textbooks consist of some form
Externí odkaz:
http://arxiv.org/abs/2312.11273
We build a parsimonious model of a stochastic e-commerce fulfillment center offering time-dependent shipment options and corresponding fees to utility-maximizing customers that arrive according to a Poisson process. For this time-dependent policy, we
Externí odkaz:
http://arxiv.org/abs/2307.10119
Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While ther
Externí odkaz:
http://arxiv.org/abs/2306.02910