Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain
Thomas Vempiliyath,
Maitri Thakur and
Vincent Hargaden
Additional contact information
Thomas Vempiliyath: Laboratory for Advanced Manufacturing Simulation & Robotics (LAMS), School of Mechanical & Materials Engineering, University College Dublin Belfield, D01 V1W8 Dublin 4, Ireland
Maitri Thakur: SINTEF Ocean, Postboks 4762, Torgard, N-7465 Trondheim, Norway
Vincent Hargaden: Laboratory for Advanced Manufacturing Simulation & Robotics (LAMS), School of Mechanical & Materials Engineering, University College Dublin Belfield, D01 V1W8 Dublin 4, Ireland
Agriculture, 2021, vol. 11, issue 10, 1-17
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.
Keywords: farmed salmon supply chain; agent-based modelling (ABM); discrete-event simulation (DES); production planning; hybrid simulation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:11:y:2021:i:10:p:907-:d:640468
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