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Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain
| Content Provider | MDPI |
|---|---|
| Author | Vempiliyath, Thomas Thakur, Maitri Hargaden, Vincent |
| Copyright Year | 2021 |
| 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. |
| Starting Page | 907 |
| e-ISSN | 20770472 |
| DOI | 10.3390/agriculture11100907 |
| Journal | Agriculture |
| Issue Number | 10 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-09-22 |
| Access Restriction | Open |
| Subject Keyword | Agriculture Industrial Engineering Farmed Salmon Supply Chain Agent-based Modelling (abm) Discrete-event Simulation (des) Production Planning Hybrid Simulation |
| Content Type | Text |
| Resource Type | Article |
