摘要
本文主要研究生产中智能RGV的动态调度策略,首先了解CNC与RGV的工作流程,对一道工序和两道工序的加工流程进行区分,将在单位时间内加工物料数量最为最终目标,在保证8台CNC能够发挥最大效能的情况下将流程时间作为目标函数,对其进行线性规划,将相关的影响因素作为约束条件来求得RGV动态调度模型。并在考虑CNC可能发生故障的情况下,结合正常情况下建立考虑CNC可能故障的情况下的RGV动态调度模型。
This article mainly research in the production of intelligent dynamic scheduling strategy of RGV,first understand CNC and the working process of RGV of two process procedure and process to distinguish and will be processed in a unit time material quantity is the ultimate goal,in eight sets of CNC to ensure maximum efficiency under the condition of the process time as objective function,linear programming,the related influencing factors as the constraint conditions for RGV dynamic scheduling model.In addition,considering the possible failure of CNC,RGV dynamic scheduling model considering the possible failure of CNC was established in combination with normal conditions.
作者
蒋佳烜
朱天奇
李俊良
吴宇航
JIANG Jia-xuan;ZHU Tian-qi;LI Jun-liang;WU Yu-hang(North China University of Technology Mathematical Modeling Innovation Laboratory,Tangshan City,Hebei Province,063210;College of Science,North China University of Technology,Tangshan City,Hebei Province,063210;North China University of Technology School of Mechanical,Tangshan City,Hebei Province,063210;North China University of Technology School of Mechanical Engineering,Tangshan City,Hebei Province,063210;North China University of Technology,Tangshan City,Hebei Province,063210)
出处
《新一代信息技术》
2018年第2期22-29,共8页
New Generation of Information Technology
基金
国家自然基金资助项目(No.11601151)。
关键词
蚁群算法改良
排队论
动态调度模型
线性规划
Ant Colony Algorithm
Queuing theory
Dynamic scheduling model
Linear programming
