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Marwa Salah Farhan, Amira Youssef and Laila Abdelhamid
Traditional data warehouses (DWs) have played a key role in business intelligence and decision support systems. However, the rapid growth of the data generated by the current applications requires new data warehousing systems. In big data, it is importan...
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Satoshi Warita and Katsuhide Fujita
Recently, multi-agent systems have become widespread as essential technologies for various practical problems. An essential problem in multi-agent systems is collaborative automating picking and delivery operations in warehouses. The warehouse commission...
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Marios Arampatzis, Maria Pempetzoglou and Athanasios Tsadiras
Effective inventory management is crucial for businesses to balance minimizing holding costs while optimizing ordering strategies. Monthly or sporadic orders over time may lead to high ordering or holding costs, respectively. In this study, we introduce ...
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Rahul Gulia, Abhishek Vashist, Amlan Ganguly, Clark Hochgraf and Michael E. Kuhl
The fourth industrial revolution focuses on the digitization and automation of supply chains resulting in a significant transformation of methods for goods production and delivery systems. To enable this, automated warehousing is demanding unprecedented ...
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David Rajaratnam, Torsten Schaub, Philipp Wanko, Kai Chen, Sirui Liu and Tran Cao Son
A warehouse delivery problem consists of a set of robots that undertake delivery jobs within a warehouse. Items are moved around the warehouse in response to events. A solution to a warehouse delivery problem is a collision-free schedule of robot movemen...
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Hao Huang, Di Li, Zenglin Han, Hao Zhang, Hongye Wang and Ye Duan
Based on the data of existing warehouse supermarkets in Liaoning Province, China, spatial autocorrelation analysis, kernel density analysis, composite correlation coefficient analysis and other methods have been adopted to analyze their spatial-temporal ...
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Jonas F. Leon, Yuda Li, Xabier A. Martin, Laura Calvet, Javier Panadero and Angel A. Juan
The use of simulation and reinforcement learning can be viewed as a flexible approach to aid managerial decision-making, particularly in the face of growing complexity in manufacturing and logistic systems. Efficient supply chains heavily rely on steamli...
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Murat Ekici, Ahmet Çagdas Seçkin, Ahmet Özek and Ceyhun Karpuz
The use of robotic systems in logistics has increased the importance of precise positioning, especially in warehouses. The paper presents a system that uses virtual fiducial markers to accurately predict the position of a drone in a warehouse and count i...
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Kyoungsoon Min and Daeeun Lim
The modern logistics industry is grappling with significant challenges brought about by rapid market transformations. These challenges encompass workforce shortages, the increasing complexity of diverse logistics systems, environmental concerns arising f...
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Tingbo Xie and Xifan Yao
An approach for object tracking in logistics warehouses based on YOLOv5 and DeepSORT is proposed, which distinguishes humans from goods, and an evaluation system is established for object tracking in logistics warehouse scenarios.
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