Abstract
This paper considers a single container loading problem with practical constraints that address the U.S. legal requirements stipulated in the California Vehicle Code (CVC) related to truck axle weight. The problem is computationally intractable for practical problem cases. We propose an integrated heuristic solution approach that combines a GRASP wall-building algorithm with linear integer programming models. Experiments are conducted using data generated from real cases showing the effectiveness of our approach. This work has been developed into a software component to facilitate decision makers in the industry. © 2013 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 358-369 |
| Journal | International Journal of Production Economics |
| Volume | 144 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jul 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Axle weight limitation
- Single container loading problems
- Truck transportation
Fingerprint
Dive into the research topics of 'The single container loading problem with axle weight constraints'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver