Abstract
In the forest supply chain, decisions related to bucking (cross sectional cuts) and distribution (vehicle routing) activities are usually considered separately and in different planning horizons. This separation between closely related problems gives rise to suboptimal solutions that, if they are simultaneously considered, could bring significant benefits. A tight coordination between the type and amount of material to be harvested and the actually material required to satisfy the daily demand would allow improvements in the efficiency of the production system (both in the forest and in the plant) and significant cost savings. To address this problem, in this work, a mixed integer linear programming (MILP) model that simultaneously considers both decisions is presented. Through a case study, the performance of the developed model is analyzed and the respective conclusions are detailed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
D’Amours, S., Rönnqvist, M., Weintraub, A.: Using operational research for supply chain planning in the forest products industry. Inf. Syst. Oper. Res. 46(4), 47–64 (2008)
Carlsson, D., D’Amours, S., Martel, A., Rönnqvist, M.: Supply chain planning models in the pulp and paper industry. Inf. Syst. Oper. Res. 47(3), 167–183 (2009)
Borges, J.G., Diaz-Balteiro, L., McDill, M.E., Rodriguez, L.C.E. (eds.): The Management of Industrial Forest Plantations. MFE, vol. 33. Springer, Dordrecht (2014). https://doi.org/10.1007/978-94-017-8899-1
El Hachemi, N., El Hallaoui, I., Gendreau, M., Rousseau, L.-M.: Flow-based integer linear programs to solve the weekly log-truck scheduling problem. Ann. Oper. Res. 232(1), 87–97 (2014). https://doi.org/10.1007/s10479-014-1527-4
Bordón, M.R., Montagna, J.M., Corsano, G.: Mixed integer linear programming approaches for solving the raw material allocation, routing and scheduling problems in the forest industry. Int. J. Ind. Eng. Comput. 11(4), 525–548 (2020)
Karlsson, J., Rönnqvist, M., Bergström, J.: An optimization model for annual harvest planning. Canad. J. Forest Res. 34(8), 1747–1754 (2004)
Dems, A., Rousseau, L.M., Frayret, J.M.: Annual timber procurement planning with bucking decisions. Eur. J. Oper. Res. 259(2), 713–720 (2017)
Vanzetti, N., Broz, D., Montagna, J.M., Corsano, G.: Integrated approach for the bucking and production planning problems in forest industry. Comput. Chem. Eng. 125, 155–163 (2019)
Bordón, M.R., Montagna, J.M., Corsano, G.: An exact mathematical formulation for the optimal log transportation. Forest Policy Econ. 95, 115–122 (2018)
Ministry of Agriculture, Livestock and Fisheries, 2015. National Census of Sawmills. https://www.magyp.gob.ar/sitio/areas/ss_desarrollo_foresto_industrial/censos_inventario/_archivos/censo//000000_Informe%20Nacional%20de%20Aserraderos%202015.pdf, Accessed 06 July 2020
Rosenthal, R.E.: A GAMS tutorial. https://www.gams.com/31/docs/index.html, Accessed 06 July 2020
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Bordón, M.R., Montagna, J.M., Corsano, G. (2021). An Integrated Approach for Solving the Bucking and Routing Problems in the Forest Industry. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-76310-7_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-76309-1
Online ISBN: 978-3-030-76310-7
eBook Packages: Computer ScienceComputer Science (R0)