制造物联环境下智能仓库叉车作业分配算法研究

Research on forklift job allocation algorithm of intelligent warehouse in internet of manufacturing things

仓库叉车合理规划和分配是减少叉车作业时间,提高仓库作业效率的关键。在制造业智能仓库的环境下,通过智能对象反馈的实时信息,为叉车分配算法提供实时数据输入。并采用将叉车次数作业能力、路程作业能力和负载作业能力组合成叉车工作能力的方法,建立寻找最佳作业能力叉车的数学模型,最后根据数学模型设计叉车作业分配算法。该算法不但能避免叉车因调度不合理而造成过度损耗,而且还能极好的提高叉车的工作效率和使用寿命。

Reasonable warehouse forklift planning and assignment is the key technology to reduce forklift operating time and improve warehouse operating efficiency. In the intelligent warehouse environment of manufacturing,the real-time information,fed back by the smart objects,is conveniently provided for the forklift assignment algorithm as the real-time input data. The number of operations ability,distance operation ability and load operation ability compose the forklift working ability,which is used to find the best allocation plan and design the mathematical model. Finally,to design forklift job assignment algorithm according to the mathematical model.The algorithm can not only avoid excessive loss of forklift due to unreasonable scheduling,but also can greatly improve the work efficiency and service life of the forklift.