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Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems
Industry 4.0 technologies embedded in the warehouse management system (WMS) are
needed to improve the automation of material handling activities such as receiving, storing …
needed to improve the automation of material handling activities such as receiving, storing …
Autonomous robots for services—state of the art, challenges, and research areas
It has been almost half a century since the first interest in autonomous robots was shown,
and research is still continuing to improve their ability to make perfectly conscious decisions …
and research is still continuing to improve their ability to make perfectly conscious decisions …
Application of supportive and substitutive technologies in manual warehouse order picking: a content analysis
EH Grosse - International Journal of Production Research, 2024 - Taylor & Francis
Order picking in warehouses is a labour-and time-intensive logistical process that
significantly impacts the efficiency of supply chains. Although technical progress facilitates …
significantly impacts the efficiency of supply chains. Although technical progress facilitates …
A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses
K Li, T Liu, PNR Kumar, X Han - … research part E: logistics and transportation …, 2024 - Elsevier
Globally, e-commerce warehouses have begun implementing robotic mobile fulfillment
systems (RMFS), which can improve order-picking efficiency by using automated guided …
systems (RMFS), which can improve order-picking efficiency by using automated guided …
[HTML][HTML] Towards adaptive digital twins architecture
Abstract The use of Digital Twins (DTs) for continuously optimising manufacturing systems
under a constant stream of changes, also known as” online optimisation”, is taken for …
under a constant stream of changes, also known as” online optimisation”, is taken for …
A* guiding DQN algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems
L Luo, N Zhao, Y Zhu, Y Sun - Computers & Industrial Engineering, 2023 - Elsevier
This paper proposes an A* guiding deep Q-network (AG-DQN) algorithm for solving the
pathfinding problem of an automated guided vehicle (AGV) in a robotic mobile fulfillment …
pathfinding problem of an automated guided vehicle (AGV) in a robotic mobile fulfillment …
Manual and robotic storage and picking systems: a literature review
The rising of e-commerce demands an increase in the performance of warehousing
systems, which are being redesigned to deal with a mass volume of demands to be fulfilled …
systems, which are being redesigned to deal with a mass volume of demands to be fulfilled …
Robots' picking efficiency and pickers' energy expenditure: the item storage assignment policy in robotic mobile fulfillment system
J Zhang, N Zhang, L Tian, Z Zhou, P Wang - Computers & Industrial …, 2023 - Elsevier
The item storage assignment problem (ISAP) in a robotic mobile fulfillment system (RMFS) is
addressed in the paper. Recently, most ISAP studies have concentrated on improving the …
addressed in the paper. Recently, most ISAP studies have concentrated on improving the …
Federated deep reinforcement learning for task scheduling in heterogeneous autonomous robotic system
Autonomous robotics play a central role in smart logistics where robots can replace or aid
humans in all kinds of tasks, such as items picking, moving, and storing. In this paper, we …
humans in all kinds of tasks, such as items picking, moving, and storing. In this paper, we …
[КНИГА][B] Supply chain engineering: Models and applications
AR Ravindran, DP Warsing Jr, PM Griffin - 2023 - taylorfrancis.com
This new edition textbook continues down the path that the first edition, winner of the 2013
IISE/Joint Publishers Book-of-the-Year Award, successfully carved out. The textbook targets …
IISE/Joint Publishers Book-of-the-Year Award, successfully carved out. The textbook targets …