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



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