Abstract
The scheduling for molten iron logistic optimization is to determine the distribution of molten iron from iron-making stage to steelmaking stage, the transportation routes of torpedo cars and locomotives such that the molten iron from blast furnaces can be delivered to the steelmaking shops on schedule and on quality. By taking the molten iron transportation process of an iron and steel enterprise as research background, the paper investigated the torpedo car scheduling problem, which is a key problem in the molten iron logistics optimization and developed a mixed integer programming model. The model was then solved by commercial optimization software CPLEX to obtain the to rpedo car scheduling scheme. Meanwhile, another scheduling scheme was obtained by a heuristics based on the nearest neighborhood idea in which the earliest available torpedo car is used to service the un-serviced task whose tapping time is the earliest. Two schemes were compared to validate the efficacy and reasonability of the model.
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