Dynamic spare parts transportation model for Arctic production facility
Accepted manuscript version. Published version at http://doi.org/10.1007/s13198-015-0379-x . Timely delivery of the required spare parts plays an important role in meeting the availability target and reducing the downtime of production facilities. Spare parts logistics is affected in complex ways wh...
Published in: | International Journal of System Assurance Engineering and Management |
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Online Access: | https://hdl.handle.net/10037/8630 https://doi.org/10.1007/s13198-015-0379-x |
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ftunivtroemsoe:oai:munin.uit.no:10037/8630 2023-05-15T14:49:22+02:00 Dynamic spare parts transportation model for Arctic production facility Ayele, Yonas Zewdu Barabadi, Abbas Barabady, Javad 2015-09-14 https://hdl.handle.net/10037/8630 https://doi.org/10.1007/s13198-015-0379-x eng eng Springer Verlag International Journal of Systems Assurance Engineering and Management 2015, 7(1):84-98 FRIDAID 1266362 doi:10.1007/s13198-015-0379-x 0976-4348 https://hdl.handle.net/10037/8630 URN:NBN:no-uit_munin_8188 openAccess Arctic production facility spare parts time-independent covariate time-dependent covariate transportation VDP::Technology: 500::Building technology: 530::Building construction and transport technology: 532 VDP::Teknologi: 500::Bygningsfag: 530::Bygg- anleggs- og transportteknologi: 532 Journal article Tidsskriftartikkel Peer reviewed 2015 ftunivtroemsoe https://doi.org/10.1007/s13198-015-0379-x 2021-06-25T17:54:35Z Accepted manuscript version. Published version at http://doi.org/10.1007/s13198-015-0379-x . Timely delivery of the required spare parts plays an important role in meeting the availability target and reducing the downtime of production facilities. Spare parts logistics is affected in complex ways while operating in the Arctic, since the area is sparsely populated and has insufficient infrastructure. It is also greatly affected by the distinctive operational environment of the region, such as cold temperature, varying forms of sea ice, blizzards, heavy fog, etc. Therefore, in order to have an effective logistic plan, the effect of all influencing factors, called covariates, on the transportation of the spare parts need to be identified, modelled and quantified by the use of an appropriate dynamic model. The traditional models, however, lack the comprehensive integration of the effect of covariates on the spare parts transportation. The purpose of this paper is to introduce the concept of a dynamic model for spare parts transportation in Arctic conditions by considering the time-independent and time-dependent covariates. The model continuously updates the prior probabilities according to the most recent time-dependent covariates to provide posterior probabilities. The application of the model is illustrated using a case study. Article in Journal/Newspaper Arctic Sea ice University of Tromsø: Munin Open Research Archive Arctic International Journal of System Assurance Engineering and Management 7 1 84 98 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
Arctic production facility spare parts time-independent covariate time-dependent covariate transportation VDP::Technology: 500::Building technology: 530::Building construction and transport technology: 532 VDP::Teknologi: 500::Bygningsfag: 530::Bygg- anleggs- og transportteknologi: 532 |
spellingShingle |
Arctic production facility spare parts time-independent covariate time-dependent covariate transportation VDP::Technology: 500::Building technology: 530::Building construction and transport technology: 532 VDP::Teknologi: 500::Bygningsfag: 530::Bygg- anleggs- og transportteknologi: 532 Ayele, Yonas Zewdu Barabadi, Abbas Barabady, Javad Dynamic spare parts transportation model for Arctic production facility |
topic_facet |
Arctic production facility spare parts time-independent covariate time-dependent covariate transportation VDP::Technology: 500::Building technology: 530::Building construction and transport technology: 532 VDP::Teknologi: 500::Bygningsfag: 530::Bygg- anleggs- og transportteknologi: 532 |
description |
Accepted manuscript version. Published version at http://doi.org/10.1007/s13198-015-0379-x . Timely delivery of the required spare parts plays an important role in meeting the availability target and reducing the downtime of production facilities. Spare parts logistics is affected in complex ways while operating in the Arctic, since the area is sparsely populated and has insufficient infrastructure. It is also greatly affected by the distinctive operational environment of the region, such as cold temperature, varying forms of sea ice, blizzards, heavy fog, etc. Therefore, in order to have an effective logistic plan, the effect of all influencing factors, called covariates, on the transportation of the spare parts need to be identified, modelled and quantified by the use of an appropriate dynamic model. The traditional models, however, lack the comprehensive integration of the effect of covariates on the spare parts transportation. The purpose of this paper is to introduce the concept of a dynamic model for spare parts transportation in Arctic conditions by considering the time-independent and time-dependent covariates. The model continuously updates the prior probabilities according to the most recent time-dependent covariates to provide posterior probabilities. The application of the model is illustrated using a case study. |
format |
Article in Journal/Newspaper |
author |
Ayele, Yonas Zewdu Barabadi, Abbas Barabady, Javad |
author_facet |
Ayele, Yonas Zewdu Barabadi, Abbas Barabady, Javad |
author_sort |
Ayele, Yonas Zewdu |
title |
Dynamic spare parts transportation model for Arctic production facility |
title_short |
Dynamic spare parts transportation model for Arctic production facility |
title_full |
Dynamic spare parts transportation model for Arctic production facility |
title_fullStr |
Dynamic spare parts transportation model for Arctic production facility |
title_full_unstemmed |
Dynamic spare parts transportation model for Arctic production facility |
title_sort |
dynamic spare parts transportation model for arctic production facility |
publisher |
Springer Verlag |
publishDate |
2015 |
url |
https://hdl.handle.net/10037/8630 https://doi.org/10.1007/s13198-015-0379-x |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
International Journal of Systems Assurance Engineering and Management 2015, 7(1):84-98 FRIDAID 1266362 doi:10.1007/s13198-015-0379-x 0976-4348 https://hdl.handle.net/10037/8630 URN:NBN:no-uit_munin_8188 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.1007/s13198-015-0379-x |
container_title |
International Journal of System Assurance Engineering and Management |
container_volume |
7 |
container_issue |
1 |
container_start_page |
84 |
op_container_end_page |
98 |
_version_ |
1766320429427851264 |