Abstract
This paper presents a model aimed at solving a Multi-period Cutting Stock Problem (MPCSP) for a sawmill at a strategic-operational level. The study seeks to minimize raw material and storage costs to manufacture square wood planks for packing batches of wood boards and panels. For these purposes, the study used real data from an actual Chilean sawmill. The resolution of the Gurobi model allows a 20.4 % cost reduction when comparing the empirical method with the model implemented in the sawmill.
| Original language | English |
|---|---|
| Pages | 30-41 |
| Number of pages | 12 |
| DOIs | |
| State | Published - 2022 |
| Event | 2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 - Santiago de Compostela, Spain Duration: 12 Sep 2022 → 15 Sep 2022 |
Conference
| Conference | 2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022 |
|---|---|
| Country/Territory | Spain |
| City | Santiago de Compostela |
| Period | 12/09/22 → 15/09/22 |
Keywords
- Industrial application
- Multi-period
- One-dimensional cutting stock problem
- Sawmill
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