Оптимізація рівня запасів в умовах інтервального визначення вхідних даних

Abstract

The problem of inventory management under conditions of incomplete certainty of input data is considered. To take into account the estimation errors associated with the estimated nature of the rate of resource use and replenishment time, the development of models using interval arithmetic is proposed. Key relationships, including downtime losses due to shortages of safety stocks and total shortage costs, are formulated in interval form. The generalized Hukuhara difference and the comparison index built on its basis are used to compare interval estimates of solution alternatives. Simulation modeling is proposed to verify the accuracy of the determined optimal level of safety stocks under conditions of interval uncertainty.