Abstract

The article addresses the treatment of applying the method of dynamic linear programming to solve the task of choosing the optimal strategy for the containers dispatch, taking into account the significant unevenness of loading and shipment of containers. The optimizing container transportation dynamic planning could be treated as mathematical model of the dynamic multi-period task of the loaded containers shipment, which allows the choice of the optimal strategy for sending containers, taking into account the significant unevenness of their loading and dispatch from the railway freight station. The efficiency of considered method is proved by numerical calculation being presented to disclose the dynamic linear programming algorithm implementing to solve the problem.

Highlights

  • The scientific task covers the development of conceptual approach for the optimizing container transportation dynamic planning which could be treated as dynamic multi-period task of the loaded containers shipment

  • Container cargos could be shipped to the consumers according to the following scheme: - loaded containers are transported to the container site of the railway freight station; - containers are put on a temporary storage warehouse (TSW); - containers are idle on the TSW till the customs clearance is finished in the export regime and until loaded on the railway platform, idle period is 3 days on average; - the containers are shipped by railway to the destination

  • The amount of shipped goods packed in twenty-foot containers should be no less than: 300 ton during the first week (Q1,1 = 300 ton), 200 ton during the second week (Q1,2 = 200 ton), 150 ton during the third week (Q1,3 = 150 ton) and 100 ton during the fourth week (Q1,4 = 100 ton)

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Summary

Introduction

The scientific task covers the development of conceptual approach for the optimizing container transportation dynamic planning which could be treated as dynamic multi-period task of the loaded containers shipment. The models of dynamic and stochastic programming have become widely used in planning operations over the past thirty years in management of supply chains [1]. It should be noted that optimization models and, in particular, dynamic and stochastic programming models [8-12] are used for solving tasks of optimization of logistic network, reserves management and transportation routing. The first part of the article contained informative and math statement of dynamic multiperiod task of shipment of loaded containers which allows taking into consideration possible changes in supply amounts over planning periods as well as possible unevenness of cargo shipment (its delay) from railroad goods depot.

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