Approach of flexible log yard design using discrete event simulation

  • Marta Trzcianowska 
  • Daniel Beaudoin,
  • Luc LeBel
  • a,b,c Department of Wood and Forest Sciences, Université Laval, 2405 Rue de la Terrasse, Québec, G1V 0A6, Canada
  • a,b,c FORAC Research Consortium, Université Laval, 1065 Avenue de la Médecine, Québec, G1V 0A6, Canada
Cite as
Trzcianowska M., Beaudoin D., LeBel Luc (2021). Approach of flexible log yard design using discrete event simulation. Proceedings of the 20th International Conference on Modeling & Applied Simulation (MAS 2021), pp. 48-56. DOI: https://doi.org/10.46354/i3m.2021.mas.006

Abstract

Log yards play an essential role in the proper functioning of the wood supply chain. In Nordic climate, the design and operations of log yards are highly influenced by a seasonality of forest operations. The aim of this paper was to propose an approach to take into account the seasonality of wood supply operations in the log yard design procedure. Our approach integrates flexible design decisions of the log yard into the static design method proposed by Hampton in the 1980s. The process of evaluating the performance of the proposed designs was enhanced with the discrete event simulation. The application of the method in order to evaluate flexible design decisions for seasonal adaptation is demonstrated using a case in an existing log yard in Quebec, Canada. Results indicate that the log yard performance can be improved by the integration of flexible design decisions to seasonal operational conditions. The simulation provided insight into the importance of physical layout and proper use of yard equipment.

References

  1. Beaudoin, D., LeBel, L., & Soussi, M. A. (2012). Discrete event simulation to improve log yard operations. INFOR: Information Systems and Operational Research, 50(4), 175-185.
  2. Dramm, J. R., Govett, R., Bilek, T., & Jackson, G. L. (2004). Log sort yard economics, planning, and feasibility. Gen. Tech. Rep. FPL-GTR-146. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. (Vol. 146).
  3. Gagliardi, J. P., Renaud, J., & Ruiz, A. (2007, December). A simulation model to improve warehouse operations. In 2007 Winter Simulation Conference (WSC). IEEE. December 9-12. Washington D.C.
  4. Gu, J., Goetschalckx, M., & McGinnis, L. F. (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1), 1‑21.
  5. Hafner, Y., Looschen, C., & Fottner, J. (2019). Simulation-based analysis of inventory levels for low demand spare parts in a cooperative inventory pooling-system. In 18th International Conference on Modeling and Applied Simulation. September 18-20. Lisbon, Portugal.
  6. Hampton, C. M. (1981). Dry Land Log Handling and Sorting: Planning, Construction, and Operation of Log Yards. San Francisco (CA): Miller Freeman Publications.
  7. Muther, R. (1973). Systematic Layout Planning. Marietta (GA): Management & Industrial Research Publications.
  8. Pernkopf, M., & Gronalt, M. (2017). A simulation study to evaluate the appropriate dimensions of a new automated log sorting and storing technology in the wood processing industry. In 2017 Winter Simulation Conference (WSC). IEEE. 3-6 décembre, Las Vegas, NV.
  9. Rahman, A., Yella, S., & Dougherty, M. (2014a). Simulation and Optimization Techniques for sawmill yard operation: A literature review. Journal of Intelligent Learning Systems and Applications, 6(1), 21‑34.
  10. Rahman, A., Yella, S., & Dougherty, M. (2014b). Simulation Model Using Meta Heuristic Algorithms for Achieving Optimal Arrangement of Storage Bins in a Sawmill Yard. Journal of Intelligent Learning Systems and Applications, 6(2), 125‑139.
  11. Rouwenhorst, B., Reuter, B., Stockrahm, V., van Houtum, G. J., Mantel, R. J., & Zijm, W. H. M. (2000). Warehouse design and control: Framework and literature review. European Journal of Operational Research, 122(3), 515‑533.
  12. Siciliano, G., Lienert, T., & Fottner, J. (2020). Design, Simulation and Performance of a Highly-Dynamic, Hybrid Pallet Storage and Retrieval System. In 19th International Conference on Modeling and Applied Simulation (MAS). September 16-18.
  13. Sinclair, A. W. J., & Wellburn, G. V. (1984). A handbook for designing, building and operating a log sortyard. Vancouver (BC): Forest Engineering Research Institute of Canada.
  14. Staudt, F. H., Alpan, G., Mascolo, M. D., & Carlos, M. (2015). Warehouse performance measurement : a literature review. International Journal of Production Research, 7543, 1‑21.
  15. Tran, E. (2009). Efficacité d’utilisation des chargeuses dans les parcs à bois : quatre études de cas. Forest Engineering Research Institute of Canada (FERIC), Advantage Report, 10 (9), 8p.
  16. Trzcianowska, M., Beaudoin, D., & LeBel, L. (2019a). Current Practices in Log Yard Design and Operations in the Province of Quebec, Canada. Forest Products Journal, 69(4), 248‑259.
  17. Trzcianowska, M., LeBel, L., & Beaudoin, D. (2019b). Performance analysis of log yards using data envelopment analysis. International Journal of Forest Engineering, 30(2), 144‑154.
  18. Vachon-Robichaud, S., Beaudoin, D., & LeBel, L. (2014). Log Yard Design Using Discrete-Event Simulation: First Step Towards a Formalized Approach. In MOSIM 2014, 10ième Conférence Francophone de Modélisation, Optimisation et Simulation. November 5-7. Nancy, France.