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Discrete-event simulation of an information-based raw material allocation process for increasing the efficiency of an energy wood supply chain

Author

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  • Windisch, Johannes
  • Väätäinen, Kari
  • Anttila, Perttu
  • Nivala, Mikko
  • Laitila, Juha
  • Asikainen, Antti
  • Sikanen, Lauri

Abstract

Transportation distance, moisture content of the raw material and volume per storage are crucial factors for the economy of forest biomass supply operations from roadside to plant. The present study investigated the current process for raw material allocation in a case study in Eastern Finland and compared it to a newly developed process which is based on the previously mentioned factors with the aim of increasing the energy output during the peak period. It applied discrete-event simulation to assess the effects on productivity of a supply chain consisting of two truck-trailer combinations and a large-scale chipper, economically analyzed the results and compared the current practice to the information-based approach.

Suggested Citation

  • Windisch, Johannes & Väätäinen, Kari & Anttila, Perttu & Nivala, Mikko & Laitila, Juha & Asikainen, Antti & Sikanen, Lauri, 2015. "Discrete-event simulation of an information-based raw material allocation process for increasing the efficiency of an energy wood supply chain," Applied Energy, Elsevier, vol. 149(C), pages 315-325.
    • Handle: RePEc:eee:appene:v:149:y:2015:i:c:p:315-325
    DOI: 10.1016/j.apenergy.2015.03.122
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    References listed on IDEAS

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    1. Johanna Routa & Antti Asikainen & Rolf Björheden & Juha Laitila & Dominik Röser, 2013. "Forest energy procurement: state of the art in Finland and Sweden," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 2(6), pages 602-613, November.
    2. Zhang, Fengli & Johnson, Dana M. & Johnson, Mark A., 2012. "Development of a simulation model of biomass supply chain for biofuel production," Renewable Energy, Elsevier, vol. 44(C), pages 380-391.
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    1. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    2. Sfeir, Tamires de Almeida & Pécora, José Eduardo & Ruiz, Angel & LeBel, Luc, 2021. "Integrating natural wood drying and seasonal trucks’ workload restrictions into forestry transportation planning," Omega, Elsevier, vol. 98(C).
    3. Eliasson, Lars & Eriksson, Anders & Mohtashami, Sima, 2017. "Analysis of factors affecting productivity and costs for a high-performance chip supply system," Applied Energy, Elsevier, vol. 185(P1), pages 497-505.
    4. Zhaoyuan He & Paul Turner, 2021. "A Systematic Review on Technologies and Industry 4.0 in the Forest Supply Chain: A Framework Identifying Challenges and Opportunities," Logistics, MDPI, vol. 5(4), pages 1-22, December.
    5. Leanda C. Garvie & David J. Lee & Biljana Kulišić, 2024. "Towards a Bioeconomy: Supplying Forest Residues for the Australian Market," Energies, MDPI, vol. 17(2), pages 1-19, January.
    6. Mariusz Jerzy Stolarski & Paweł Stachowicz & Waldemar Sieniawski & Michał Krzyżaniak & Ewelina Olba-Zięty, 2021. "Quality and Delivery Costs of Wood Chips by Railway vs. Road Transport," Energies, MDPI, vol. 14(21), pages 1-17, October.
    7. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    8. Shiyu Chen & Wei Wang & Enrico Zio, 2021. "A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains," Energies, MDPI, vol. 14(9), pages 1-27, May.
    9. Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
    10. Eriksson, Anders & Eliasson, Lars & Sikanen, Lauri & Hansson, Per-Anders & Jirjis, Raida, 2017. "Evaluation of delivery strategies for forest fuels applying a model for Weather-driven Analysis of Forest Fuel Systems (WAFFS)," Applied Energy, Elsevier, vol. 188(C), pages 420-430.
    11. Juha Laitila & Robert Prinz & Lauri Sikanen, 2019. "Selection of a chipper technology for small-scale operations - a Finnish case," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(4), pages 121-133.
    12. Lobo, Benjamin J. & Brown, Donald E. & Grazaitis, Peter J., 2019. "Long-term forecasting of fuel demand at theater entry points," International Journal of Forecasting, Elsevier, vol. 35(2), pages 502-520.
    13. Aalto, Mika & KC, Raghu & Korpinen, Olli-Jussi & Karttunen, Kalle & Ranta, Tapio, 2019. "Modeling of biomass supply system by combining computational methods – A review article," Applied Energy, Elsevier, vol. 243(C), pages 145-154.
    14. Prinz, Robert & Väätäinen, Kari & Laitila, Juha & Sikanen, Lauri & Asikainen, Antti, 2019. "Analysis of energy efficiency of forest chip supply systems using discrete-event simulation," Applied Energy, Elsevier, vol. 235(C), pages 1369-1380.
    15. Ng, Rex T.L. & Kurniawan, Daniel & Wang, Hua & Mariska, Brian & Wu, Wenzhao & Maravelias, Christos T., 2018. "Integrated framework for designing spatially explicit biofuel supply chains," Applied Energy, Elsevier, vol. 216(C), pages 116-131.
    16. Anerud, Erik & Jirjis, Raida & Larsson, Gunnar & Eliasson, Lars, 2018. "Fuel quality of stored wood chips – Influence of semi-permeable covering material," Applied Energy, Elsevier, vol. 231(C), pages 628-634.
    17. Tatiana M. Pinho & João Paulo Coelho & Germano Veiga & A. Paulo Moreira & José Boaventura-Cunha, 2017. "A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level," Complexity, Hindawi, vol. 2017, pages 1-10, July.

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