Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain
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 fl...
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2021
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Online Access: | https://doi.org/10.3390/agriculture11100907 |
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ftmdpi:oai:mdpi.com:/2077-0472/11/10/907/ 2023-08-20T04:05:17+02:00 Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain Thomas Vempiliyath Maitri Thakur Vincent Hargaden agris 2021-09-22 application/pdf https://doi.org/10.3390/agriculture11100907 EN eng Multidisciplinary Digital Publishing Institute Agricultural Economics, Policies and Rural Management https://dx.doi.org/10.3390/agriculture11100907 https://creativecommons.org/licenses/by/4.0/ Agriculture; Volume 11; Issue 10; Pages: 907 farmed salmon supply chain agent-based modelling (ABM) discrete-event simulation (DES) production planning hybrid simulation Text 2021 ftmdpi https://doi.org/10.3390/agriculture11100907 2023-08-01T02:45:41Z 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. Text Atlantic salmon MDPI Open Access Publishing Agriculture 11 10 907 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
farmed salmon supply chain agent-based modelling (ABM) discrete-event simulation (DES) production planning hybrid simulation |
spellingShingle |
farmed salmon supply chain agent-based modelling (ABM) discrete-event simulation (DES) production planning hybrid simulation Thomas Vempiliyath Maitri Thakur Vincent Hargaden Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
topic_facet |
farmed salmon supply chain agent-based modelling (ABM) discrete-event simulation (DES) production planning hybrid simulation |
description |
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. |
format |
Text |
author |
Thomas Vempiliyath Maitri Thakur Vincent Hargaden |
author_facet |
Thomas Vempiliyath Maitri Thakur Vincent Hargaden |
author_sort |
Thomas Vempiliyath |
title |
Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
title_short |
Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
title_full |
Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
title_fullStr |
Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
title_full_unstemmed |
Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain |
title_sort |
development of a hybrid simulation framework for the production planning process in the atlantic salmon supply chain |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/agriculture11100907 |
op_coverage |
agris |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
Agriculture; Volume 11; Issue 10; Pages: 907 |
op_relation |
Agricultural Economics, Policies and Rural Management https://dx.doi.org/10.3390/agriculture11100907 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/agriculture11100907 |
container_title |
Agriculture |
container_volume |
11 |
container_issue |
10 |
container_start_page |
907 |
_version_ |
1774715776364707840 |