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Применение численных методов для оптимизации цепей поставок с непрерывно начисляемыми штрафами

Логистика сегодня. 2013. № 6. С. 338-347.

The possibility of using approximate approaches for solving supply chain optimization problem with continuously accrued fines is discussed. The problem was investigated by numerical simulation for the case of exponentially growing fines, when a logistic operator must deliver the cargo to several points. The vehicle was allowed to move from any point to any other point. To solve the problem we used a so-called “Monte-Carlo” method. Numerical simulations showed that the variation of the parameters of the optimization model leads to a change in the optimal order of visiting points. It is shown that it is possible to find a solution that ensures the order close to the optimal. The proposed method, in contrast to the other known approaches, can be easily generalized for the case when functions determining fines in each point are different for different delivery points.