Budgeting maintenance dredging projects under uncertainty to improve the inland waterway network performance

The authors model the problem of budgeting and selecting inland maintenance dredging projects to maximize the value of commodities that can be transported without disruption through the inland waterway system. They develop a heuristic to solve their stochastic optimization model and demonstrate that, by incorporating uncertainty in the amount of reactive (i.e., emergency) dredging, their model yields improved solutions as compared to related deterministic optimization models in the literature. The authors apply their model to provide a detailed analysis of U.S. waterway network.

• Record URL:
  https://doi.org/10.1016/j.tre.2018.08.013
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554517309821
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ahadi, Khatereh
  • Sullivan, Kelly M
  • Mitchell, Kenneth Ned
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 63-87
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 119
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Budgeting; Commodities; Dredging; Heuristic methods; Inland waterways; Maintenance; Optimization; Stochastic programming; Uncertainty; Water transportation
• Geographic Terms: United States
• Subject Areas: Finance; Maintenance and Preservation; Marine Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01685998
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 20 2018 10:21AM