Paper
20 December 2024 Bidirectional heterogeneous fleet vehicle routing problem with three-dimensional loading constraints for sales-recycling scenario
Zhaoqi Wang, Liya Yao, Shuoyang Zhang
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134215T (2024) https://doi.org/10.1117/12.3054546
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
Abstract
In pursuit of sustainable manufacturing and transportation paradigms, enterprises focus on ameliorating transportation costs while enhancing customer satisfaction by integrating forward and reverse logistics. However, existing research on sales-recycling models often overlooks constraints, leading to inaccuracies. This paper addresses this gap by introducing the 3L-MD-HFVRPSPD, a complex optimization challenge based on the Vehicle Routing Problem(VRP), which considers multiple depots, diverse vehicle fleets, dual stacking, simultaneous pick-up and delivery, and 3D loading limitations. A hybrid algorithm is formulated for problem resolution, employing the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for vehicle routing and the heuristic Residual-Space-Optimized Algorithm (RSO) for load validation. Tests demonstrate that this approach outperforms traditional methods, delivering superior solutions more expeditiously.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhaoqi Wang, Liya Yao, and Shuoyang Zhang "Bidirectional heterogeneous fleet vehicle routing problem with three-dimensional loading constraints for sales-recycling scenario", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134215T (20 December 2024); https://doi.org/10.1117/12.3054546
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KEYWORDS
Evolutionary algorithms

Transportation

3D modeling

Design

Genetic algorithms

Manufacturing

Mathematical modeling

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