A relational database approach to a linear programming-based decision support system for production planning in secondary wood product manufacturing
Secondary manufacturers in the forest products industry face a complex production planning process. Linear programming (LP)-based applications have addressed this production planning issue. However, most models have been developed for a specific plant configuration and cannot readily be applied to others. A relational database approach was used to create an integrated linear programming-based decision support system that can be used to analyze production planning issues in a wide variety of secondary wood product manufacturers. The flexibility of the resultant system indicated the potential to analyze production strategies in the highly dynamic environment characteristic of secondary manufacturers.
relational database linear programming decision support system production planning secondary wood product manufacturing flexibility