Long- and Short-Run Supply-Chain Optimization Models for the Allocation and Congestion Management of Containerized Imports from Asia to the United States
Analytical models are introduced for predicting the allocation to ports and transportation channels of containerized goods imported from Asia to the USA. Assuming fixed distributions for container flow-times, the Long-Run Model heuristically solves a mixed integer non-linear program to determine the least-cost supply-chain strategies for importers. The Short-Run Model uses estimates of the flow times as a function of traffic volumes on fixed infrastructure to iteratively develop the best near-term strategies. Minimum volume requirements and capacities for ports and landside channels are considered. The models are applied to predict the effects of container fees at the San Pedro Bay ports.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
-
Supplemental Notes:
- Abstract reprinted with permission from Elsevier
-
Authors:
- Jula, Payman
- Leachman, Robert C
- Publication Date: 2011-9
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Illustrations; References; Tables;
- Pagination: pp 593-608
-
Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 47
- Issue Number: 5
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Container handling; Landside operations (Ports); Mathematical models; Mathematical prediction; Operating costs; Optimization; Port capacity; Strategic planning; Supply chain management
- Geographic Terms: Asia; San Pedro Bay; United States
- Subject Areas: Finance; Freight Transportation; Marine Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01343351
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 30 2011 7:11AM