Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems

V Simic, S Dabic-Miletic, EB Tirkolaee, Ž Stević… - Applied Soft …, 2023 - Elsevier
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 …

Autonomous robots for services—state of the art, challenges, and research areas

M Misaros, OP Stan, IC Donca, LC Miclea - Sensors, 2023 - mdpi.com
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 …

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 …

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 …

[HTML][HTML] Towards adaptive digital twins architecture

R Ogunsakin, N Mehandjiev, CA Marin - Computers in Industry, 2023 - Elsevier
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 …

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 …

Manual and robotic storage and picking systems: a literature review

A Silva, LC Coelho, M Darvish… - … : Information Systems and …, 2024 - Taylor & Francis
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 …

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 …

Federated deep reinforcement learning for task scheduling in heterogeneous autonomous robotic system

TM Ho, KK Nguyen, M Cheriet - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[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 …