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

Khatereh Ahadi, Kelly M. Sullivan and Kenneth Ned Mitchell

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 119, issue C, 63-87

Abstract: We 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. We develop a heuristic to solve our stochastic optimization model and demonstrate that, by incorporating uncertainty in the amount of reactive (i.e., emergency) dredging, our model yields improved solutions as compared to related deterministic optimization models in the literature. We apply our model to provide a detailed analysis of U.S. waterway network.

Keywords: Maritime transportation; Inland waterways; Maintenance dredging; Optimization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554517309821
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:119:y:2018:i:c:p:63-87

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

DOI: 10.1016/j.tre.2018.08.013

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().