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A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics
A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics
In this study, we deal with a real-world problem on oil and gas upstream logistics, comprehending the transport of goods from ports to maritime units, through vessels called Platform Supply Vessels (PSVs). We present an integrated methodology to define the routes of these vessels and port schedules in a three-phase framework. In the first phase, we decompose the problem using a clustering heuristic and then solve periodic supply vessel routing problems for each cluster. The second phase employs a mixed-integer programming model for port scheduling and berth allocation. Finally, in the third phase, given port departure times, the routes are re-sequenced to respect opening time constraints at installations, aiming to reduce waiting times and to balance the intervals between successive services. The framework was validated and evaluated considering a real scenario from an industrial partner located in Rio de Janeiro, Brazil. The experiments’ results revealed that the framework could consistently and significantly outperform the solution adopted by the company in terms of economic costs.
Berth allocation problem, Mixed-integer programming, Offshore logistics, Periodic vessel routing problem, Supply vessel planning
1573-2924
1115-1155
Seimetz Chagas, Rennan Danilo
41fdd63a-1158-459d-906e-188cc52eb172
Soares, Juliana Beatriz Carvalho de
35ea4c37-98d2-4072-bc6f-12cdf8597d8d
Longhi, Rafael Pedro
c2dcda55-db6b-468d-9023-6f16ea02414d
Vieira, Bruno Ferreira
ab9b67ad-0f59-426a-9d0b-bbc6d7831b06
Arruda, Edilson Fernandes
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Leite, Laura Silvia Bahiense da Silva
e2bddf72-8037-4adf-a664-975d4c8d4dab
Ferreira Filho, Virgílio José Martins
6853ee2e-9675-43be-afcb-77d1677716e9
Seimetz Chagas, Rennan Danilo
41fdd63a-1158-459d-906e-188cc52eb172
Soares, Juliana Beatriz Carvalho de
35ea4c37-98d2-4072-bc6f-12cdf8597d8d
Longhi, Rafael Pedro
c2dcda55-db6b-468d-9023-6f16ea02414d
Vieira, Bruno Ferreira
ab9b67ad-0f59-426a-9d0b-bbc6d7831b06
Arruda, Edilson Fernandes
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Leite, Laura Silvia Bahiense da Silva
e2bddf72-8037-4adf-a664-975d4c8d4dab
Ferreira Filho, Virgílio José Martins
6853ee2e-9675-43be-afcb-77d1677716e9

Seimetz Chagas, Rennan Danilo, Soares, Juliana Beatriz Carvalho de, Longhi, Rafael Pedro, Vieira, Bruno Ferreira, Arruda, Edilson Fernandes, Leite, Laura Silvia Bahiense da Silva and Ferreira Filho, Virgílio José Martins (2022) A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics. Optimization and Engineering, 1115-1155. (doi:10.1007/s11081-022-09723-6).

Record type: Article

Abstract

In this study, we deal with a real-world problem on oil and gas upstream logistics, comprehending the transport of goods from ports to maritime units, through vessels called Platform Supply Vessels (PSVs). We present an integrated methodology to define the routes of these vessels and port schedules in a three-phase framework. In the first phase, we decompose the problem using a clustering heuristic and then solve periodic supply vessel routing problems for each cluster. The second phase employs a mixed-integer programming model for port scheduling and berth allocation. Finally, in the third phase, given port departure times, the routes are re-sequenced to respect opening time constraints at installations, aiming to reduce waiting times and to balance the intervals between successive services. The framework was validated and evaluated considering a real scenario from an industrial partner located in Rio de Janeiro, Brazil. The experiments’ results revealed that the framework could consistently and significantly outperform the solution adopted by the company in terms of economic costs.

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Accepted/In Press date: 2 April 2022
e-pub ahead of print date: 23 April 2022
Published date: 23 April 2022
Keywords: Berth allocation problem, Mixed-integer programming, Offshore logistics, Periodic vessel routing problem, Supply vessel planning

Identifiers

Local EPrints ID: 456875
URI: http://eprints.soton.ac.uk/id/eprint/456875
ISSN: 1573-2924
PURE UUID: a8e643e7-cef5-42c2-981a-70a9676c7709
ORCID for Edilson Fernandes Arruda: ORCID iD orcid.org/0000-0002-9835-352X

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Date deposited: 13 May 2022 16:42
Last modified: 17 Mar 2024 07:16

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Contributors

Author: Rennan Danilo Seimetz Chagas
Author: Juliana Beatriz Carvalho de Soares
Author: Rafael Pedro Longhi
Author: Bruno Ferreira Vieira
Author: Edilson Fernandes Arruda ORCID iD
Author: Laura Silvia Bahiense da Silva Leite
Author: Virgílio José Martins Ferreira Filho

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