Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/15319
Title: | A maritime inventory routing problem with stochastic sailing and port times |
Author: | Agra, Agostinho Christiansen, Marielle Delgado, Alexandrino Hvattum, Lars Magnus |
Keywords: | Stochastic programming Maritime transportation Inventory routing Uncertainty L-shaped method Sample average approximation Travel time Service time |
Issue Date: | Sep-2015 |
Publisher: | Elsevier |
Abstract: | This paper describes a stochastic short sea shipping problem where a company is responsible for both the distribution of oil products between islands and the inventory management of those products at consumption storage tanks located at ports. In general, ship routing and scheduling is associated with uncertainty in weather conditions and unpredictable waiting times at ports. In this work, both sailing times and port times are considered to be stochastic parameters. A two-stage stochastic programming model with recourse is presented where the first stage consists of routing, loading and unloading decisions, and the second stage consists of scheduling and inventory decisions. The model is solved using a decomposition approach similar to an L-shaped algorithm where optimality cuts are added dynamically, and this solution process is embedded within the sample average approximation method. A computational study based on real-world instances is presented. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/15319 |
DOI: | 10.1016/j.cor.2015.01.008 |
ISSN: | 0305-0548 |
Appears in Collections: | CIDMA - Artigos OGTCG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Agra, Christiansen, Delgado, Hvattum. 2015. A maritime IRP with stochastic sailing and port times (Computers and Operations Research).pdf | 609.88 kB | Adobe PDF | ||
Stocastics_Model_pre_print.pdf | Pre-print | 191.98 kB | Adobe PDF | View/Open |
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