Abstract
The wood drying is an important stage in the production process of a sawmill since it is where lumber acquires the level of humidity required by the market. Generally, it is a batch process that is carried out in dryers that operate in parallel out of phase. To cover the energy needs of the process, boilers fed with the by-products generated in the productive stages of the sawmill are used. To operate efficiently, the filling and scheduling of the dryers and the boiler feed and operation must be planned simultaneously. In this paper, these decisions are addressed through a mixed integer linear programming model (MILP) using state-task network concepts based on a discrete time formulation. Different work criteria related to sawmill operation are analysed, achieving very significant results for the performance of this industry.
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References
Simo-Tagne, M., Zoulalian, A., Rémond, R., Rogaume, Y.: Mathematical modelling and numerical simulation of a simple solar dryer for tropical wood using a collector. Appl. Therm. Eng. 131, 356–369 (2018)
Khouya, A., Draoui, A.: Computational drying model for solar kiln with latent heat energy storage: case studies of thermal application. Renew. Energy 130, 796–813 (2019)
Gaudreault, J., Frayret, J., Rousseau, A., D’Amours, S.: Combined planning and scheduling in a divergent production system with co-production: a case study in the lumber industry. Comput. Oper. Res. 38, 1238–1250 (2011)
Fumero, Y., Corsano, G., Montagna, J.M.: Simultaneous batching and scheduling of batch plants that operate in campaign-mode, considering nonidentical parallel units and sequence-dependent changeovers. Ind. Eng. Chem. Res. 53, 17059–17074 (2014)
Lee, H., Maravelias, C.T.: Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants. Comput. Chem. Eng. 106, 621–644 (2017)
Méndez, C.A., Cerdá, J., Grossmann, I.E., Harjunkoskic, I., Fahlc, M.: State-of-the-art review of optimization methods for short-term scheduling of batch processes. Comput. Chem. Eng. 30(6–7), 913–946 (2006)
Wu, Y., Maravelias, C.T.: A general model for periodic chemical production scheduling. Ind. Eng. Chem. Res. 59(6), 2505–2515 (2020)
Kondili, E., Pantelides, C.C., Sargent, R.W.H.: A general algorithm for short-term scheduling of batch operations – 1. MILP formulation. Comput. Chem. Eng. 17, 211–227 (1993)
Castro, P.M., Grossmann, I.E., Zhang, Q.: Expanding scope and computational challenges in process scheduling. Comput. Chem. Eng. 114, 14–42 (2018)
Acknowledgement
The authors would like to acknowledge Nestor Steitzer and Suabia Maderas S.R.L for their predisposition and collaboration.
The authors acknowledge financial support from CONICET, FONCyT and UTN for research activities through their projects PIP 0352, PICT 2017-4004, and PID SIUTIFE0005246TC, respectively.
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Vanzetti, N., Steitzer, N.G., Corsano, G., Montagna, J.M. (2021). Energy Optimization for the Operation of a Sawmill. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1407. Springer, Cham. https://doi.org/10.1007/978-3-030-76307-7_6
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DOI: https://doi.org/10.1007/978-3-030-76307-7_6
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