列车自动驾驶系统节能操纵策略研究

列车自动驾驶系统是列车运行自动控制系统的重要妇茂部分,它代替司机完成驾驶列车的任务,保证列车高效节能运行。本文以ATO的工作原理为背景,给出了列车操纵的原则,并着重从节能角度出发给出了工况转换策略和节能算法。     

Optimal safety stock levels of subassemblies and manufacturing components

In order to control the time to market and manufacturing costs, companies produce and purchase many parts and components before receiving customer orders. Consequently, demand forecasting is a critical decision process. Using modular product design and super bills of materials are two effective strategies for developing a reliable demand forecasting process. They reduce the probability of stockouts in diversified production contexts. Furthermore, managing and controlling safety stocks for pre-assembled modules provide an effective solution to the problem of minimizing the effects of forecast errors. This paper develops, evaluates, and applies innovative cost-based analytical models so that the optimal safety stock of modular subassemblies and components in assembly to order and manufacturing to order systems, respectively, can be rapidly quantified. The implementation of the proposed models in two industrial case applications demonstrates that they significantly reduce the safety stock inventory levels and the global logistical cost.     

高速铁路CTCS3+ATO系统优化方案研究

随着我国高速铁路网逐年扩大,对于自动驾驶的需求不断增加,为满足高速铁路高速度、高密度跨线运营需求,实现装备智能化,阐述高速铁路CTCS3+ATO系统结构及设备功能,分析高速铁路CTCS3+ATO系统需求,考虑到城际铁路CTCS2+ATO系统及高速铁路CTCS3+ATO系统实际运用情况,结合CTCS3+ATO系统技术特点,提出升级列车定位技术、改变区间闭塞制式、立即折返作业自动化、实现全自动无人驾驶等高速铁路CTCS3+ATO系统优化方案。该方案的实施及应用有助于在保障列车运行安全的前提下,提高自动化运行程度及运输效率。     

Design of the optimal feeding policy in an assembly system

This paper describes an innovative and integrated approach to component management optimization within a production/assembly system. In a mixed-models assembly process the handling of parts and components for each work station represents a substantial variable that can greatly affect job duration and efficiency. This paper is strictly related to Assembly to Order/Manufacturing to Order (ATO and MTO) systems, where lead time has to be very short and flexibility is at its maximum level. In Assembly to Order (ATO) or Make to Order (MTO) systems, the production is increasingly getting more customized in response to the demand, thanks to the progresses reached in both manufacturing and information technologies. It is becoming increasingly possible to assemble or make products specifically in response to the requests of either end customers or retailers. As a consequence of such customization, the design of the whole system must take into direct account several elements: parts warehouses location, feeding policies and feeding systems. In some cases the collection of parts and components required picking activities, in other the movement of entire units load.In several instances experts have analyzed the problems about material centralization/decentralization, storage policies and assembly feeding problem in different and independent ways, while the problem needs an integrated approach. While many researches regarding components allocation problems in ATO and MTO systems, did not consider feeding policies, material picking, packing activities and vehicles optimization, this paper cover focuses on filling such gap using an integrated framework that considers both aspects of the problem: the centralization/decentralization of components in order to minimize the total storage costs and the right feeding policies.Feeding problems in assembly lines are some of the most important aspects to consider during the analysis and design of an assembly system, to allow the maximization of efficiency and flexibility. To reach such goals, a multi-factorial analysis has been carried out during this experiment and will validate the introduced framework. An industrial application of the introduced framework is illustrated to explain its real significant production implication.