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Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain

Author

Listed:
  • 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)

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.

Suggested Citation

  • Thomas Vempiliyath & Maitri Thakur & Vincent Hargaden, 2021. "Development of a Hybrid Simulation Framework for the Production Planning Process in the Atlantic Salmon Supply Chain," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:10:p:907-:d:640468
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    References listed on IDEAS

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    Cited by:

    1. David Barling & Antonella Samoggia & Gudrun Olafsdottir, 2022. "Dynamics of Food Value Chains: Resilience, Fairness and Sustainability," Agriculture, MDPI, vol. 12(5), pages 1-5, May.
    2. McGarraghy, Seán & Olafsdottir, Gudrun & Kazakov, Rossen & Huber, Élise & Loveluck, William & Gudbrandsdottir, Ingunn Y. & Čechura, Lukáš & Esposito, Gianandrea & Samoggia, Antonella & Aubert, Pierre-, 2022. "Conceptual system dynamics and agent-based modelling simulation of interorganisational fairness in food value chains: Research agenda and case studies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(2).
    3. Seán McGarraghy & Gudrun Olafsdottir & Rossen Kazakov & Élise Huber & William Loveluck & Ingunn Y. Gudbrandsdottir & Lukáš Čechura & Gianandrea Esposito & Antonella Samoggia & Pierre-Marie Aubert & Da, 2022. "Conceptual System Dynamics and Agent-Based Modelling Simulation of Interorganisational Fairness in Food Value Chains: Research Agenda and Case Studies," Agriculture, MDPI, vol. 12(2), pages 1-30, February.

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