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Path optimization problem is an important component of Emergency Logistics. According to the emergency incidents occurring in Emergency Logistics, We build an uncertain programming model, which is based on the shortest travel time as the objective function, and make the model closer to reality. The model use the traffic time as fuzzy variable, the demand quantity of disaster location as random variable,...
Genetic algorithm is a efficient way to solve the logistics-related problem, the mathematic model is analyzed and the key technology of building simulation model in eM-Plant is researched in this paper, and also the build-in genetic algorithm of optimizing module is used to optimize picking system based on the eM-Plant simulation model, which can assure the scientific decision.
In recent years, with the flourishing development of logistics around China, economy developed very quickly, and many logistics parks were built-up to integrate resource, and then develop modern logistics industry based on scale effect of the parks. But domestic logistics park planning is at the starting stage without a unified approach. On efficient Implementation of logistics parks functions depend...
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