Alternative approaches to the crude oil tanker routing and scheduling problem with split pickup and split delivery

Hennig, Frank; Nygreen, Bjørn; Furman, Kevin C.; Song, Jin-Hwa

doi:10.1016/j.ejor.2014.11.023

Cited by 29 publications

(13 citation statements)

References 19 publications

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“…Thus, the loaded or unloaded quantities as well as the number of visits at ports were variable. Hennig et al (2015) studied the crude oil tanker routing and scheduling problem with split pickup and split delivery. In their problem, the pickup and delivery quantities of each node were known, but no predefined pairings between pickup and delivery nodes were specified.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Industrial ship routing problem with split delivery and two types of vessels

Lee

Kim

2015

Expert Systems with Applications

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Section: Accepted Manuscriptmentioning

confidence: 99%

Industrial ship routing problem with split delivery and two types of vessels

Lee

Kim

2015

Expert Systems with Applications

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“…Hennig et al (2012) presented another path flow model for an oil tanker routing and scheduling problem with the objective of finding load sizes, ship routes as well as port arrival and departure times that minimize the overall transportation expenses. Hennig et al (2015) investigated an oil tanker routing and scheduling scenario with split pickup and split delivery, and studied the applicability of the path flow-modelling methods (developed in Hennig et al, 2011Hennig et al, , 2012 within a column generation framework. Aizemberg et al (2014) studied a petroleum transportation problem, and presented a column generation-based framework to solve the problem.…”

Section: Related Researchmentioning

confidence: 99%

A Mathematical Modelling and Optimization Approach for a Maritime Facility Location Transshipment Problem

Al-Yakoob¹,

Sherali²

2018

Informatica

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This paper presents an optimization based mathematical modelling approach for a single source single destination crude oil facility location transshipment problem. We began by formulating a mixed-integer nonlinear programming model and use a rolling horizon heuristic to find an optimal location for a storage facility within a restricted continuous region. We next design a hybrid two-stage algorithm that combines judicious facility locations resulting from the proposed model into a previously developed column generation approach. The results indicate that improved overall operational costs can be achieved by strategically determining cost-effective locations of the transshipment facility.

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“…Con respecto a los modelos matematicos se citan como ejemplo el empleo de dos índices los trabajos de [10], [19], [22], [23], [25]- [27], [29], [52]; con tres índices: [18], [20], [21], [24], [28], [53], [57] y con 4 el trabajo de [58].…”

Section: Figura 2 Esquema De Clasificación Del Vrppdunclassified

“…A lo largo del periodo de revisión (hasta 2016) se encuentran publicaciones con clasificaciones desde diferentes perspectivas: [20] trata el problema de ruteo de vehículos con entregas y recogidas, con ventanas de tiempo y contaminación y lo resuelve aplicando programación lineal entera mixta; [21] trabaja el problema con enrutamiento de petróleo con entregas y recogidas fraccionadas y utiliza el algoritmo de generación de columnas para su solución; [29] presenta como método de solución la programación lineal fraccional; [26] abordó recientemente el problema con restricciones bidimensionales de carga y aplicó para su solución un algoritmo de búsqueda local y heurística de embalaje de dos dimensiones para la generación de estructuras de carga factible.…”

Section: Introductionunclassified