Development and evaluation of mathematical models. Development of the process-based manufacturing model. Investments decision making. General linear program. Revised simplex method. Sparse matrices. Inverse basis representation and reinversion procedures. Data scaling, numerical tolerances and errors. Sensitivity analysis. Linear programming extensions. Multi-criteria programming. Cutting-stock problem. Network planning with limited resources. Scheduling. Supply chain management.