供需链环境下提高企业订单执行效率分析

在企业的生产、管理过程中,如何提高订单执行力的研究仍是一个空白。此文针对当前制造业生产环境存在的主要问题,即生产面临复杂的环境、市场变化的不确定性导致激烈的市场竞争、订单执行过程的协调性较差,进行分析与探讨,提出提高企业订单执行力的方法和可采取的4个方面的措施,从而建立起一套在供需链管理模式下的高效订单执行力体系,使企业快速拓展市场,实现增值和稳步发展。     

武广高铁车站自动与远程控制供电的功能改造方案

针对2010-07-25日武广高铁耒阳西站的供电故障,分析了设备存在的缺陷,提出了完善武广高铁车站自动与远程控制供电的方案,并组织进行了改造。     

城轨车辆客室门乘务员进出功能的设计分析

针对某些城轨车辆不设置司机室车门,乘务员只能通过客室门进出列车的问题,文章结合车门系统的控制原理,设计一项新功能以解决此问题,并就新型城轨车辆的乘务员进出方案做了初步探讨。     

西门子地铁信号控制系统轨旁ATP控制单元综述

简单介绍了西门子LZB 700M地铁信号控制系统的基础配置,以此为基础详细叙述了ATP系统的构成,轨旁ATP单元设备的配置及其功能,轨旁ATP控制单元在列车自动运行防护监控中遵循的原则及在西门子列控系统中实现的功能。     

装配式凸轮轴生产工艺及应用

装配式凸轮轴是发动机凸轮轴制造新技术，它与传统的由铸锻制造的凸轮轴相比，具有质量轻、加工成本低、材料利用合理等优点。介绍了装配式凸轮轴的生产工艺及应用。其连接方法主要包括焊接式、烧结式、机械式等3种。着重分析了各种连接方法及其优缺点，可根据生产实际情况采用不同的连接方法。阐述了装配式凸轮轴的使用范围及国内外生产技术、发展趋势。     

公路工程造价快速测算方法及其应用

在总结和分析各种工程造价估测方法的基础上，构建了基于模糊理论和造价管理系统之上的造价快速估测模型，并给出了其计算步骤和估测实例，可用于公路工程造价的快速测算。     

小型铣刨机车体升降油缸动态过程的分析

通过对小型铣刨机车体升降系统的简化,建立了液压缸运动速度与流量的传递函数,并且在系统参数静态设计方法的基础上,考虑了系统参数对其动态特性的影响.     

基于生长曲线函数的货车运营环节碳达峰研究

货车是我国大气环境污染的重要来源之一，也是影响我国碳达峰总体目标实现的重要因 素。本文从货车运营环节入手，在运用生长曲线函数对货车保有量进行预测的基础上，对不同类 型货车的保有量和单车碳排放变化进行研究，并从货车节能技术发展、新能源货车推广和应用进 程两方面入手，分3种情景对货车运营环节中产生的碳排放总量趋势进行预判，推演货车运营环 节的碳达峰时间。研究结果表明，只有同时加快货车节能技术发展以及新能源货车推广和应用 进程，货车运营环节中产生的碳排放总量规模才能得到有效抑制并逐渐减少。若到 2030 年货 车单车燃料消耗水平较 2019 年降低 20%以上，新能源货车在货车整体保有量中的占比达到 20%，到 2060 年货车单车燃料消耗水平较 2019 年降低 50%，新能源货车占比达到 50%，则货车 运营环节碳达峰时间将缩短至2030年左右实现，2030年后货车运营环节产生的碳排放总量规 模将逐渐减少。     

Bottleneck congestion and distribution of work start times: The economics of staggered work hours revisited

Since the seminal work of Henderson (Henderson, J.V., 1981. The economics of staggered work hours. Journal of Urban Economics 9 (3), 349–364), a number of studies have examined the effect of staggered work hours by analyzing models of work start time choice that consider the trade-off between negative congestion externalities and positive production externalities. However, these studies employed flow congestion models to describe traffic congestion. This study develops a model of work start time choice with bottleneck congestion and discloses the intrinsic properties of the model. To this end, this study extends Henderson’s model to incorporate bottleneck congestion. By utilizing the properties of a potential game, we characterize equilibrium and optimal distributions of work start times. We also show that Pigouvian tax/subsidy policies generally yield multiple equilibria and that the first-best optimum must be a stable equilibrium under Pigouvian policies, whereas the second-best optimum in which policymakers cannot eliminate queuing congestion can be unstable.     

Nonlinear pricing in linear cities with elastic demands

Nonlinear road pricing charges each traveler based on his/her trip’s corresponding particular attribute level. In order to help authorities in designing road pricing systems at a strategic level, this paper attempts to address two fundamental questions: (i) what is the value of pricing’s nonlinearity for mitigating traffic congestion? (ii) if a nonlinear toll function is implemented, should it be convex, concave or other shape? Specifically, we consider distance-based pricing in linear cities. For linear monocentric cities with heterogeneous travelers, we show that the system optimal distance-based pricing indeed exhibits nonlinearity. It is proved that: (i) the cost-based system optimal toll function is monotonically increasing and concave with respect to the traveled distance; (ii) the time-based system optimal toll function always exists and is unique. If the initial proportion of each traveler group is invariant along a corridor and the demand function is of exponential type, then the time-based system optimal toll function enables the travelers, living further away from a city center, to face a lower toll level per unit distance. For a linear polycentric city, we demonstrate: (i) there always exists the system optimal differentiated (in terms of city centers) toll functions; (ii) it is highly possible that the system optimal non-differentiated toll function does not exist. Hence, we further propose an optimal toll design model, prove the Lipschitz continuity of its objective and adopt a global-optimization algorithm to solve it.