A robust optimization approach to locating and stockpiling marine oil-spill response facilities

In this research, a robust optimization approach is proposed to the problem of designing emergency response networks for marine oil-spills given uncertainty in the location, size and type of the spill. In this regard, we formulate two robust models (Gamma and Ellipsoidal) to optimize the allocation...

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Main Authors: Sarhadi, Hassan, Naoum-Sawaya, Joe, Verma, Manish
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1366554520306566
id ftrepec:oai:RePEc:eee:transe:v:141:y:2020:i:c:s1366554520306566
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spelling ftrepec:oai:RePEc:eee:transe:v:141:y:2020:i:c:s1366554520306566 2024-04-14T08:15:06+00:00 A robust optimization approach to locating and stockpiling marine oil-spill response facilities Sarhadi, Hassan Naoum-Sawaya, Joe Verma, Manish http://www.sciencedirect.com/science/article/pii/S1366554520306566 unknown http://www.sciencedirect.com/science/article/pii/S1366554520306566 article ftrepec 2024-03-19T10:36:29Z In this research, a robust optimization approach is proposed to the problem of designing emergency response networks for marine oil-spills given uncertainty in the location, size and type of the spill. In this regard, we formulate two robust models (Gamma and Ellipsoidal) to optimize the allocation of response equipment while considering the underlying uncertainty in each oil-spill scenario. An efficient Branch-and-Cut algorithm is then designed to improve the computational performance. The benefits of applying the robust formulations are illustrated and compared to the non-robust model using a realistic case study from Newfoundland (Canada). Marine oil-spill; Emergency response; Robust optimization; Mixed-integer program; Stochasticity; Article in Journal/Newspaper Newfoundland RePEc (Research Papers in Economics) Canada
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description In this research, a robust optimization approach is proposed to the problem of designing emergency response networks for marine oil-spills given uncertainty in the location, size and type of the spill. In this regard, we formulate two robust models (Gamma and Ellipsoidal) to optimize the allocation of response equipment while considering the underlying uncertainty in each oil-spill scenario. An efficient Branch-and-Cut algorithm is then designed to improve the computational performance. The benefits of applying the robust formulations are illustrated and compared to the non-robust model using a realistic case study from Newfoundland (Canada). Marine oil-spill; Emergency response; Robust optimization; Mixed-integer program; Stochasticity;
format Article in Journal/Newspaper
author Sarhadi, Hassan
Naoum-Sawaya, Joe
Verma, Manish
spellingShingle Sarhadi, Hassan
Naoum-Sawaya, Joe
Verma, Manish
A robust optimization approach to locating and stockpiling marine oil-spill response facilities
author_facet Sarhadi, Hassan
Naoum-Sawaya, Joe
Verma, Manish
author_sort Sarhadi, Hassan
title A robust optimization approach to locating and stockpiling marine oil-spill response facilities
title_short A robust optimization approach to locating and stockpiling marine oil-spill response facilities
title_full A robust optimization approach to locating and stockpiling marine oil-spill response facilities
title_fullStr A robust optimization approach to locating and stockpiling marine oil-spill response facilities
title_full_unstemmed A robust optimization approach to locating and stockpiling marine oil-spill response facilities
title_sort robust optimization approach to locating and stockpiling marine oil-spill response facilities
url http://www.sciencedirect.com/science/article/pii/S1366554520306566
geographic Canada
geographic_facet Canada
genre Newfoundland
genre_facet Newfoundland
op_relation http://www.sciencedirect.com/science/article/pii/S1366554520306566
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