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Development of a decision support tool for optimizing the short-term logistics of forest-based biomass

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  • Malladi, Krishna Teja
  • Quirion-Blais, Olivier
  • Sowlati, Taraneh

Abstract

High cost of logistics is one of the barriers of using forest-based biomass for energy and fuel production. Biomass logistics is complex and includes interdependent decisions related to storage, pre-processing and transportation. While these decisions have been considered in numerous medium-term planning models, those for short-term planning are limited. The existing models focused only on optimal truck routing without considering intermediate storage facilities which are essential to match biomass supply and demand. In this study, a decomposition-based approach is used and optimization models are developed for the short-term planning of a large biomass logistics company located in the Lower Mainland region of British Columbia, Canada. The company deals with collection, storage, pre-processing and transportation of biomass. Several operational constraints related to truck-location compatibilities and truck-biomass compatibilities arising from heterogeneity of trucks and biomass types which further complicate the logistics planning are incorporated in the models. First, a transshipment model is developed and solved using a mixed integer formulation to determine comminution schedules and the number of truckloads of each biomass type to be transported each day using each type of truck. Then, a routing model, which uses the results of the transshipment model, is developed to determine the optimal routing for the available trucks. A decision support tool to optimize the company’s weekly transportation and comminution operations is also developed for the company. Experiments were conducted on real data from the company over a span of four weeks. The results indicate 12% reduction in the total average cost and a similar reduction in fuel consumption compared to the actual routes implemented by the company. It is suggested that savings could be obtained by using larger trucks for longer distance transportation and smaller trucks for shorter distances. Direct delivery of biomass from suppliers to customers, bypassing the yard, could result in cost savings.

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  • 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.
    • Handle: RePEc:eee:appene:v:216:y:2018:i:c:p:662-677
    DOI: 10.1016/j.apenergy.2018.02.027
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    References listed on IDEAS

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    1. 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.
    2. Bektas, Tolga, 2006. "The multiple traveling salesman problem: an overview of formulations and solution procedures," Omega, Elsevier, vol. 34(3), pages 209-219, June.
    3. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    4. Ma, Hong & Miao, Zhaowei & Lim, Andrew & Rodrigues, Brian, 2011. "Crossdocking distribution networks with setup cost and time window constraint," Omega, Elsevier, vol. 39(1), pages 64-72, January.
    5. 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.
    6. Ali, Agha Iqbal & O'Connor, Debra J., 2010. "The impact of distribution system characteristics on computational tractability," European Journal of Operational Research, Elsevier, vol. 200(2), pages 323-333, January.
    7. 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.
    8. Yongxi (Eric) Huang & Yueyue Fan & Chien-Wei Chen, 2014. "An Integrated Biofuel Supply Chain to Cope with Feedstock Seasonality and Uncertainty," Transportation Science, INFORMS, vol. 48(4), pages 540-554, November.
    9. 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.
    10. Andrew J Mason, 2013. "SolverStudio: A New Tool for Better Optimisation and Simulation Modelling in Excel," INFORMS Transactions on Education, INFORMS, vol. 14(1), pages 45-52, September.
    11. van Dyken, Silke & Bakken, Bjorn H. & Skjelbred, Hans I., 2010. "Linear mixed-integer models for biomass supply chains with transport, storage and processing," Energy, Elsevier, vol. 35(3), pages 1338-1350.
    12. Zamar, David S. & Gopaluni, Bhushan & Sokhansanj, Shahab, 2017. "Optimization of sawmill residues collection for bioenergy production," Applied Energy, Elsevier, vol. 202(C), pages 487-495.
    13. G. Guastaroba & M. G. Speranza & D. Vigo, 2016. "Intermediate Facilities in Freight Transportation Planning: A Survey," Transportation Science, INFORMS, vol. 50(3), pages 763-789, August.
    14. Rentizelas, Athanasios A. & Tolis, Athanasios J. & Tatsiopoulos, Ilias P., 2009. "Logistics issues of biomass: The storage problem and the multi-biomass supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 887-894, May.
    15. Gautam, Shuva & LeBel, Luc & Carle, Marc-André, 2017. "Supply chain model to assess the feasibility of incorporating a terminal between forests and biorefineries," Applied Energy, Elsevier, vol. 198(C), pages 377-384.
    16. Asadullah, Mohammad, 2014. "Barriers of commercial power generation using biomass gasification gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 201-215.
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    Cited by:

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    2. Lo, Shirleen Lee Yuen & How, Bing Shen & Leong, Wei Dong & Teng, Sin Yong & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Techno-economic analysis for biomass supply chain: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. 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.
    4. Linmao Ma & Jing Yu & Long Zhang, 2019. "An Analysis on Barriers to Biomass and Bioenergy Development in Rural China Using Intuitionistic Fuzzy Cognitive Map," Energies, MDPI, vol. 12(9), pages 1-23, April.
    5. 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.

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