IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v185y2017ip1p497-505.html
   My bibliography  Save this article

Analysis of factors affecting productivity and costs for a high-performance chip supply system

Author

Listed:
  • Eliasson, Lars
  • Eriksson, Anders
  • Mohtashami, Sima

Abstract

Declining market prices make it necessary to reduce supply costs of forest chips to ensure profitability in the supply chain and a continued supply of forest chips to the energy industry. Comminution and transport are two of the major contributors to the total costs in the forest fuel supply system. In order to fully utilise truck payloads and reduce transport costs, logging residues are usually chipped at the landing. For the chipping contractor, it is important to maximise the proportion of effective work time in relation to scheduled work time. Currently it is not uncommon that effective work time is less than 50 per cent of scheduled work time, due to chip transports using the chipper, waiting for chip trucks, and other delays. Increased chipper utilisation requires greater coordination between the chipper and the chip trucks transporting the produced chips to the customer. Supply systems have been simulated to examine how transport distance, number of trucks, shift scheduling and chip buffers affect the system costs for a high-performance chipper system. System costs and machine utilisation vary greatly, depending on system configuration. It is always beneficial to have six containers in the buffer on the landing rather than three, and trucks should begin their shifts at one-hour intervals. To maximise chipper use and minimise system costs, four container trucks are needed if the transport distance exceeds 50km. However, the large seasonal fluctuations in demand for biomass chips makes it hard to fully utilise the potential of the system over the whole year. The study concludes that it is important to regard chipping and chip transport as one operation, not two separate ones, as they are so dependent on each other.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:185:y:2017:i:p1:p:497-505
    DOI: 10.1016/j.apenergy.2016.10.136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916315409
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.10.136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dotzauer, Erik, 2002. "Simple model for prediction of loads in district-heating systems," Applied Energy, Elsevier, vol. 73(3-4), pages 277-284, November.
    2. Eriksson, Ljusk Ola & Bjorheden, Rolf, 1989. "Optimal storing, transport and processing for a forest-fuel supplier," European Journal of Operational Research, Elsevier, vol. 43(1), pages 26-33, November.
    3. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries," Energy, Elsevier, vol. 86(C), pages 354-368.
    4. Mobini, Mahdi & Sowlati, Taraneh & Sokhansanj, Shahab, 2011. "Forest biomass supply logistics for a power plant using the discrete-event simulation approach," Applied Energy, Elsevier, vol. 88(4), pages 1241-1250, April.
    5. 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.
    6. Zhang, Fengli & Johnson, Dana M. & Wang, Jinjiang, 2016. "Integrating multimodal transport into forest-delivered biofuel supply chain design," Renewable Energy, Elsevier, vol. 93(C), pages 58-67.
    7. Sánchez-García, Sandra & Canga, Elena & Tolosana, Eduardo & Majada, Juan, 2015. "A spatial analysis of woodfuel based on WISDOM GIS methodology: Multiscale approach in Northern Spain," Applied Energy, Elsevier, vol. 144(C), pages 193-203.
    8. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland," Applied Energy, Elsevier, vol. 137(C), pages 338-351.
    9. 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.
    10. P Flisberg & M Frisk & M Rönnqvist, 2012. "FuelOpt: a decision support system for forest fuel logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(11), pages 1600-1612, November.
    11. Flisberg, Patrik & Frisk, Mikael & Rönnqvist, Mikael & Guajardo, Mario, 2015. "Potential savings and cost allocations for forest fuel transportation in Sweden: A country-wide study," Energy, Elsevier, vol. 85(C), pages 353-365.
    12. Gunnarsson, Helene & Ronnqvist, Mikael & Lundgren, Jan T., 2004. "Supply chain modelling of forest fuel," European Journal of Operational Research, Elsevier, vol. 158(1), pages 103-123, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    3. Zygmunt Stanula & Marek Wieruszewski & Adam Zydroń & Krzysztof Adamowicz, 2023. "Optimizing Forest-Biomass-Distribution Logistics from a Multi-Level Perspective—Review," Energies, MDPI, vol. 16(24), pages 1-17, December.
    4. Ghaffariyan, Mohammad Reza & Brown, Mark & Acuna, Mauricio & Sessions, John & Gallagher, Tom & Kühmaier, Martin & Spinelli, Raffaele & Visser, Rien & Devlin, Ger & Eliasson, Lars & Laitila, Juha & Lai, 2017. "An international review of the most productive and cost effective forest biomass recovery technologies and supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 145-158.
    5. Emmanuel Garbolino & Warren Daniel & Guillermo Hinojos Mendoza, 2018. "Expected Global Warming Impacts on the Spatial Distribution and Productivity for 2050 of Five Species of Trees Used in the Wood Energy Supply Chain in France," Energies, MDPI, vol. 11(12), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    3. 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.
    4. 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.
    5. 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.
    6. Shabani, Nazanin & Akhtari, Shaghaygh & Sowlati, Taraneh, 2013. "Value chain optimization of forest biomass for bioenergy production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 299-311.
    7. Razm, Sobhan & Brahimi, Nadjib & Hammami, Ramzi & Dolgui, Alexandre, 2023. "A production planning model for biorefineries with biomass perishability and biofuel transformation," International Journal of Production Economics, Elsevier, vol. 258(C).
    8. 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.
    9. Mobtaker, A. & Ouhimmou, M. & Audy, J.-F. & Rönnqvist, M., 2021. "A review on decision support systems for tactical logistics planning in the context of forest bioeconomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    10. Shabani, Nazanin & Sowlati, Taraneh, 2013. "A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant," Applied Energy, Elsevier, vol. 104(C), pages 353-361.
    11. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    12. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries," Energy, Elsevier, vol. 86(C), pages 354-368.
    13. Awais, Fawad & Flodén, Jonas & Svanberg, Martin, 2021. "Logistic characteristics and requirements of Swedish wood biofuel heating plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    14. 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.
    15. Guajardo, Mario & Rönnqvist, Mikael & Flisberg, Patrik & Frisk, Mikael, 2018. "Collaborative transportation with overlapping coalitions," European Journal of Operational Research, Elsevier, vol. 271(1), pages 238-249.
    16. Malladi, Krishna Teja & Quirion-Blais, Olivier & Sowlati, Taraneh, 2018. "Development of a decision support tool for optimizing the short-term logistics of forest-based biomass," Applied Energy, Elsevier, vol. 216(C), pages 662-677.
    17. Hugo Guzmán-Bello & Iosvani López-Díaz & Miguel Aybar-Mejía & Jose Atilio de Frias, 2022. "A Review of Trends in the Energy Use of Biomass: The Case of the Dominican Republic," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    18. Akhtari, Shaghaygh & Sowlati, Taraneh, 2020. "Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 259(C).
    19. Kühmaier, Martin & Erber, Gernot & Kanzian, Christian & Holzleitner, Franz & Stampfer, Karl, 2016. "Comparison of costs of different terminal layouts for fuel wood storage," Renewable Energy, Elsevier, vol. 87(P1), pages 544-551.
    20. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:185:y:2017:i:p1:p:497-505. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.