A Genetic Algorithm with Lower Neighborhood Search for the Three-Dimensional Multiorder Open-Size Rectangular Packing Problem DOI Open Access
Jianglong Yang, Huwei Liu, Kaibo Liang

et al.

International Journal of Intelligent Systems, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 18

Published: May 15, 2024

This paper addresses the multiorder open-dimension three-dimensional rectangular packing problem (3D-MOSB-ODRPP), which involves items from multiple orders into a single, size-adjustable container. We propose novel metaheuristic approach combining genetic algorithm with Gurobi solver. The incorporates lower neighborhood search strategy and is underpinned by mathematical model representing scenario. Extensive experiments validate effectiveness of proposed approach. LNSGA outperforms traditional in solution quality computational efficiency. For small-scale instances, achieves optimal values most cases. demonstrates significant optimization improvements over for large-scale instances. superior performance attributed to effective integration mechanism study offers valuable insights optimizing process e-commerce warehousing logistics operations.

Language: Английский

Transforming E-Commerce Logistics: Sustainable Practices through Autonomous Maritime and Last-Mile Transportation Solutions DOI Creative Commons
Nistor Andrei, Cezar Scarlat, Alexandra Ioanid

et al.

Logistics, Journal Year: 2024, Volume and Issue: 8(3), P. 71 - 71

Published: July 15, 2024

The logistics landscape in e-commerce is undergoing a profound transformation toward sustainability and autonomy. This paper explores the implementation of autonomous maritime last-mile transportation solutions to optimize entire chain from factory customer. Building on lessons learned industry’s digital transformation, study identifies key features proposes forward-looking system. Emphasizing role geospatial technologies, proposed system employs GIS-based electronic route optimization for efficient goods delivery, integrating onboard ashore sensors enhanced location precision. A case was built analyze means transport along product integration systems shows substantial improvements performance. Synchromodal smart steaming techniques can be utilized routes, resulting reduced fuel consumption emissions. findings reveal that significantly enhance efficiency, flexibility logistics. emphasizes need advanced technological provides comprehensive framework future research practical applications industry.

Language: Английский

Citations

9
A customizable optimization model for green e-commerce packing considering multiple orders and diverse box types DOI
Kaibo Liang, Jianglong Yang,

Man Shan

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 444, P. 141249 - 141249

Published: Feb. 17, 2024

Language: Английский

Citations

3
Solving the three-dimensional open-dimension rectangular packing problem: A constraint programming model DOI

Mateus Martin,

Thiago Alves de Queiroz, Reinaldo Morábito

et al.

Computers & Operations Research, Journal Year: 2024, Volume and Issue: 167, P. 106651 - 106651

Published: April 15, 2024

Language: Английский

Citations

3
Variable neighborhood genetic algorithm for multi-order multi-bin open packing optimization DOI
Jianglong Yang, Huwei Liu, Kaibo Liang

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 163, P. 111890 - 111890

Published: Sept. 1, 2024

Language: Английский

Citations

1
A Genetic Algorithm with Lower Neighborhood Search for the Three-Dimensional Multiorder Open-Size Rectangular Packing Problem DOI Open Access
Jianglong Yang, Huwei Liu, Kaibo Liang

et al.

International Journal of Intelligent Systems, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 18

Published: May 15, 2024

This paper addresses the multiorder open-dimension three-dimensional rectangular packing problem (3D-MOSB-ODRPP), which involves items from multiple orders into a single, size-adjustable container. We propose novel metaheuristic approach combining genetic algorithm with Gurobi solver. The incorporates lower neighborhood search strategy and is underpinned by mathematical model representing scenario. Extensive experiments validate effectiveness of proposed approach. LNSGA outperforms traditional in solution quality computational efficiency. For small-scale instances, achieves optimal values most cases. demonstrates significant optimization improvements over for large-scale instances. superior performance attributed to effective integration mechanism study offers valuable insights optimizing process e-commerce warehousing logistics operations.

Language: Английский

Citations

0