Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain
| Autor: | Maitri Thakur, Vincent Hargaden, Thomas Vempiliyath |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Process management Process (engineering) Computer science Supply chain Agriculture (General) production planning Plant Science Decision making behaviour computer.software_genre 01 natural sciences farmed salmon supply chain S1-972 Chain (algebraic topology) Production (economics) 14. Life underwater discrete-event simulation (DES) hybrid simulation agent-based modelling (ABM) 04 agricultural and veterinary sciences Simulation software Production planning 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Agronomy and Crop Science computer 010606 plant biology & botany Food Science |
| Zdroj: | Agriculture, Vol 11, Iss 907, p 907 (2021) Agriculture Volume 11 Issue 10 |
| ISSN: | 2077-0472 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|