Combined emergency preparedness and operations for safe personnel transport to offshore locations
Long distances, sparse infrastructure, and adverse environmental conditions make the offshore emergency preparedness system in the High North a big and yet unsolved challenge. This applies in particular to the personnel transport between onshore bases and offshore facilities, which is usually conduc...
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Online Access: | http://hdl.handle.net/11250/2618401 https://doi.org/10.1016/j.omega.2016.03.006 |
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fthsmolde:oai:himolde.brage.unit.no:11250/2618401 2023-05-15T15:39:02+02:00 Combined emergency preparedness and operations for safe personnel transport to offshore locations Brachner, Markus Hvattum, Lars Magnus 2016-09-23T09:17:33Z application/pdf http://hdl.handle.net/11250/2618401 https://doi.org/10.1016/j.omega.2016.03.006 eng eng Elsevier http://www.sciencedirect.com/science/article/pii/S0305048316300202 Omega : The International Journal of Management Science. 2016, 67 (March), 31-41. urn:issn:0305-0483 http://hdl.handle.net/11250/2618401 https://doi.org/10.1016/j.omega.2016.03.006 cristin:1384514 Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no CC-BY-NC-ND 31-41 67 Omega : The International Journal of Management Science March Journal article Peer reviewed 2016 fthsmolde https://doi.org/10.1016/j.omega.2016.03.006 2022-12-11T16:07:49Z Long distances, sparse infrastructure, and adverse environmental conditions make the offshore emergency preparedness system in the High North a big and yet unsolved challenge. This applies in particular to the personnel transport between onshore bases and offshore facilities, which is usually conducted by helicopters. One of the issues to be solved is the sufficient coverage with emergency response units (RUs) in this sparse infrastructure environment. This paper proposes an answer to this issue by using sound logistical concepts, which involves connecting operations and preparedness. A mathematical model is introduced that combines a routing and a covering problem. On one hand, the shortest possible helicopter routes to offshore locations are sought, subject to being within the area covered by the deployed RUs. On the other hand, those RUs are placed so that a contingent helicopter ditching at any point on the chosen routes can be handled within given time limits. The combination of routing and covering forms a trade-off, which gives the decision maker the freedom to balance between the minimization of operational costs related to transport route distances and the long-term costs from response capacity requirements. A computational method that reduces the time to find a solution and allows decision makers to solve real life instances is presented. Computational experiments are conducted with the proposed model, based on prospective production sites in the Barents Sea. Keywords: Covering; Routing; Decision support system; Helicopter; Collaboration. acceptedVersion Article in Journal/Newspaper Barents Sea Molde University College: Brage HiM Barents Sea Rus’ ENVELOPE(155.950,155.950,54.200,54.200) Omega 67 31 41 |
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Open Polar |
collection |
Molde University College: Brage HiM |
op_collection_id |
fthsmolde |
language |
English |
description |
Long distances, sparse infrastructure, and adverse environmental conditions make the offshore emergency preparedness system in the High North a big and yet unsolved challenge. This applies in particular to the personnel transport between onshore bases and offshore facilities, which is usually conducted by helicopters. One of the issues to be solved is the sufficient coverage with emergency response units (RUs) in this sparse infrastructure environment. This paper proposes an answer to this issue by using sound logistical concepts, which involves connecting operations and preparedness. A mathematical model is introduced that combines a routing and a covering problem. On one hand, the shortest possible helicopter routes to offshore locations are sought, subject to being within the area covered by the deployed RUs. On the other hand, those RUs are placed so that a contingent helicopter ditching at any point on the chosen routes can be handled within given time limits. The combination of routing and covering forms a trade-off, which gives the decision maker the freedom to balance between the minimization of operational costs related to transport route distances and the long-term costs from response capacity requirements. A computational method that reduces the time to find a solution and allows decision makers to solve real life instances is presented. Computational experiments are conducted with the proposed model, based on prospective production sites in the Barents Sea. Keywords: Covering; Routing; Decision support system; Helicopter; Collaboration. acceptedVersion |
format |
Article in Journal/Newspaper |
author |
Brachner, Markus Hvattum, Lars Magnus |
spellingShingle |
Brachner, Markus Hvattum, Lars Magnus Combined emergency preparedness and operations for safe personnel transport to offshore locations |
author_facet |
Brachner, Markus Hvattum, Lars Magnus |
author_sort |
Brachner, Markus |
title |
Combined emergency preparedness and operations for safe personnel transport to offshore locations |
title_short |
Combined emergency preparedness and operations for safe personnel transport to offshore locations |
title_full |
Combined emergency preparedness and operations for safe personnel transport to offshore locations |
title_fullStr |
Combined emergency preparedness and operations for safe personnel transport to offshore locations |
title_full_unstemmed |
Combined emergency preparedness and operations for safe personnel transport to offshore locations |
title_sort |
combined emergency preparedness and operations for safe personnel transport to offshore locations |
publisher |
Elsevier |
publishDate |
2016 |
url |
http://hdl.handle.net/11250/2618401 https://doi.org/10.1016/j.omega.2016.03.006 |
long_lat |
ENVELOPE(155.950,155.950,54.200,54.200) |
geographic |
Barents Sea Rus’ |
geographic_facet |
Barents Sea Rus’ |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
31-41 67 Omega : The International Journal of Management Science March |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0305048316300202 Omega : The International Journal of Management Science. 2016, 67 (March), 31-41. urn:issn:0305-0483 http://hdl.handle.net/11250/2618401 https://doi.org/10.1016/j.omega.2016.03.006 cristin:1384514 |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.omega.2016.03.006 |
container_title |
Omega |
container_volume |
67 |
container_start_page |
31 |
op_container_end_page |
41 |
_version_ |
1766370489525075968 |