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JOURNALS // Problemy Upravleniya // Archive

Probl. Upr., 2018 Issue 6, Pages 55–61 (Mi pu1112)

Administration of engineering systems and technological processes

Successive linear programming method efficiency in solving the problems of production planning at oil refinery

Yu. M. Tsodikov

V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow

Abstract: The problem of the optimal planning of oil refineries production is formulated in the form that provides for solving it using the successive linear programming (SLP) method. The factors affecting the convergence of this method while solving nonlinear problems of large dimensionality are considered. The example of a nonlinear model is given. The influence of the accuracy of the solution is investigated, and recommendations are given for improving the convergence for complex models.

Keywords: optimal planning, successive linear programming, nonlinear programming, multi-period planning.

UDC: 658.5

DOI: 10.25728/pu.2018.6.7



© Steklov Math. Inst. of RAS, 2026