集成整车物流系统的网络规划问题研究

综合考虑运输、库存、设施、服务质量等决策因素,建立了整车物流网络规划集成优化模型.针对由工厂、集货中心和分销中心构成的基本物流网络,提出了用于运输路径优化的流预测算法,并嵌入到遗传算法,解决了适应值的计算难点.给出了基于流预测的遗传算法求解框架,通过实例分析了运输规模效应、库存控制策略、服务质量指标等因素对物流网络结构设计方案的影响.

商用车模块化设计策略

在项目之初,先对市场进行调研、预测,针对主要客户群体规划好产品生命周期里的车型,然后设计人员根据所有车型功能、性能和配置的定义全面地规划设计各系统,让专用件最少、生产整车的效率更高,且整车收益更高,这个过程就是汽车模块化设计过程。

A Rapid Path Planner for Autonomous Ground Vehicle Using Section Collision Detection

Rapid path planner plays an important role in autonomous ground vehicle （AGV） operation. Depending on the non-holonomic kinematics constraints of AGV, its path planning problem is discussed. Since rapidly-exploring random tree （RRT） can directly take non-holonomic constraints into consideration, it is selected to solve this problem. By applying extra constraints on the movement, the generation of new configuration in RRT algorithm is simplified and accelerated. With section collision detection method applied, collision detection within the planer becomes more accurate and efficient. Then a new path planner is developed. This method complies with the non-holonomic constraints, avoids obstacles effectively and can be rapidly carried out while the vehicle is running. Simulation shows that this path planner can complete path planning in less than 0.5 s for a 170 mx 170 m area with moderate obstacle complexity.