dc.contributor.author | Vempiliyath, Thomas | |
dc.contributor.author | Thakur, Maitri | |
dc.contributor.author | Hargaden, Vincent | |
dc.date.accessioned | 2022-10-18T10:27:54Z | |
dc.date.available | 2022-10-18T10:27:54Z | |
dc.date.created | 2022-02-03T13:53:14Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Agriculture. 2021, 11 (10), 1-17. | en_US |
dc.identifier.issn | 2077-0472 | |
dc.identifier.uri | https://hdl.handle.net/11250/3026605 | |
dc.description.abstract | The farmed salmon supply chain has a highly complex and integrated structure, where activities occur both in the sea and on land. Due to this complexity, the supply chain needs appropriate decision-support tools to aid the production planning process, which capture the material flows, information flows and behaviours of the decision makers in the chain. This paper proposes a hybrid simulation framework for production planning using the case of the Norwegian Atlantic salmon supply chain. This hybrid simulation comprises agent-based modelling (ABM) to capture the autonomous and interacting decision making behaviour of the supply chain actors, while discrete-event simulation (DES) is employed to model the various production processes within the chain. The simulation is implemented using AnyLogic™ version 8.0 simulation software, using a case study from the Norwegian farmed salmon sector. The proposed modelling framework provides a deeper understanding of the activities in the salmon supply chain, thereby enabling improved decision making. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | hybrid simulation | en_US |
dc.subject | production planning | en_US |
dc.subject | discrete-event simulation (DES) | en_US |
dc.subject | agent-based modelling (ABM) | en_US |
dc.subject | farmed salmon supply chain | en_US |
dc.title | Development of a hybrid simulation framework for the production planning process in the atlantic salmon supply chain | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | en_US |
dc.source.pagenumber | 17 | en_US |
dc.source.volume | 11 | en_US |
dc.source.journal | Agriculture | en_US |
dc.source.issue | 10 | en_US |
dc.identifier.doi | 10.3390/agriculture11100907 | |
dc.identifier.cristin | 1997414 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |