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Solving 3D packing problem using Transformer network and reinforcement learning
Q Que, F Yang, D Zhang - Expert Systems with Applications, 2023 - Elsevier
The three-dimensional packing problem (3D-PP) is a classic NP-hard problem in operations
research and computer science. One of the most popular ways to solve the problem is …
research and computer science. One of the most popular ways to solve the problem is …
Integrated warehouse assignment and carton configuration optimization using deep clustering-based evolutionary algorithms
A rapid rise in e-commerce has forced logistic companies to invest in efficiency and reduce
last-mile delivery costs. A significant part of last-mile delivery operations is the cartonization …
last-mile delivery costs. A significant part of last-mile delivery operations is the cartonization …
A product family design method for configuration and spatial layout requirements
JT Hansen, DW Rosen - … of Computing and …, 2019 - asmedigitalcollection.asme.org
Product platforms allow companies to compete in the global marketplace by facilitating
product variety and by adding, removing, or substituting components and features across a …
product variety and by adding, removing, or substituting components and features across a …
Cardboard packaging minimization: Autonomous box selection by RGB-depth vision system and complementary deep learning classification
J Kwon, S Kwon - Instrumentation Science & Technology, 2024 - Taylor & Francis
Amidst the dramatic expansion of online shop**, wasted cardboard packaging has
become a significant challenge in modern-day society. In this paper, we propose an …
become a significant challenge in modern-day society. In this paper, we propose an …
Deep Reinforcement Learning in POMDPs for 3-D palletization problem
A Bo, J Lu, C Zhao - 2022 China Automation Congress (CAC), 2022 - ieeexplore.ieee.org
Online 3D palletization problem is a generic variant in the family of bin packing problem
(BPP). However, conventional deep reinforcement learning (DRL) methods merely have an …
(BPP). However, conventional deep reinforcement learning (DRL) methods merely have an …
[PDF][PDF] Multi-objective evolutionary method for cargo arrangement in a loading space
M Taraska, R Iwańkowicz - Archives of Transport, 2017 - bibliotekanauki.pl
The paper characterises a class of problems for packing boxes in the container. It presents
the current state of knowledge in this area and distinguishes evolutionary algorithms, as the …
the current state of knowledge in this area and distinguishes evolutionary algorithms, as the …
The Economic Impact of Container-loading Problem
A Jugović - Transactions on maritime science, 2020 - hrcak.srce.hr
Sažetak Thousands of containers with different types of cargo are loaded every day in
multiple manufacturing and logistics centres in the world. The main problem arising from …
multiple manufacturing and logistics centres in the world. The main problem arising from …
Overlap Packing Optimization for Spacecraft Layout Design
RA Alaimo - 2018 - search.proquest.com
Packing optimization is a common problem that is encountered on a day-to-day basis and
has led to an extensive study over the years. One variant of the packing problem that is …
has led to an extensive study over the years. One variant of the packing problem that is …
An integration of container loading and vehicle routing problems
E Barış - 2016 - gcris.ieu.edu.tr
Vehicle routing and container loading are the core functions of transportation. The
integration of vehicle routing and container loading is becoming a research area for the …
integration of vehicle routing and container loading is becoming a research area for the …
[PDF][PDF] The management of food boxes packing problems in rectangular containers using the heuristic method
S Penpark, B Thawatchai… - Journal of Sustainability …, 2021 - jssm.umt.edu.my
The increase in consumer demand for food has caused issues concerning the delivery of
food packages. This is due to the limited volume of containers available for packing food …
food packages. This is due to the limited volume of containers available for packing food …