我国第三方物流的发展现状

我国加入WTO后,物流行业的开放程度越来越高,而物流业的效率相对低下,面对国外拥有资金、管理、技术优势的企业,我国物流企业将面临着巨大的生存压力。在此根据美智(Mercer)管理顾问公司与中国物流与采购联合会合作的中国第三方物流市场调查报告,分析了第三方物流在我国的发展特点和存在的问题,并针对这些问题提出我国第三方物流的发展趋势,发展的策略。     

战略成本管理的基本方法及其在交通运输企业的应用

介绍了战略定位分析、价值链分析和成本动因分析等西方战略成本管理的基本方法，并对它们在交通运输企业中的应用作了初步探讨，对于培育交通运输企业的竞争优势、降低成本、提高成本效益具有重要意义。     

试析道路交通肇事逃逸案件发生原因及对策

论述了交通肇事逃逸发生的时间、地点、条件和司机的心理因素 ,提出了预防和减少交通肇事逃逸的具体措施。     

船舶调度闸外编排算法

为了提高船闸的通过能力,优化船舶进闸调度,分析了三峡船闸船舶的平均过闸间隔时间,提出了闸外编排的概念,分析了船舶在进闸调度中的操作流程,以安全性和进闸耗时为目标,建立了闸外编排的数学模型,设计了相应的启发式求解算法,将模型的目标和约束条件通过启发式方法生成船舶在闸外的排序法则。数值试验分析结果表明闸外编排数学模型切实可行,排序算法可以生成安全高效的进闸方案,闸外编排的实现考虑了船舶进闸时间和安全性原则,缩短了闸次间隔时间,提高了日开闸次数,有效地提高了通航设施的整体通过能力。     

中东现汇EPC项目全周期的设计管控

中东现汇EPC项目具有设计采购施工一体化程度高、合同理念强、设计变更多和设计报批流程复杂等特点,这对于走出去的设计企业来说具有很大的挑战性,也是能力提升和快速国际化的良好机会。阐述EPC项目的核心理念,提出设计应在EPC项目中发挥龙头作用和创造价值,从EPC全生命周期的前期准备、项目投标、项目策划、项目设计、设计报批和施工配合六大方面详细论述设计的核心内容和管控重点,并通过中东典型工程案例加以说明,希望能为国际EPC项目设计方面的更好实施提供借鉴和参考。     

EPC项目专业设计计划管理技术与方法研究

本文针对大多数从事海洋工程项目设计计划管理过程中经常遇到的一些问题,结合海洋石油工程股份有限公司近年来在设计信息化管理方面的一些实践经验,以及借鉴行业一些先进经验,引入项目总控计划和设计执行计划分级管理方法,基于专业设计成果清单,以专业设计计划为核心,结合IT技术,对项目设计计划管理和任务管理方法进行优化设计,并用于指导《自升式钻井平台设计建造信息化管理技术研究》项目中设计管理模块的管理模式设计和信息系统开发工作,管理模式的设计思路和信息系统实现效果,获得相关方肯定。     

美国舰船及编队通信手段分析

通信是舰艇编队实施作战指挥控制的重要基础,在舰艇编队作战指挥中发挥着至关重要的作用。本文梳理了美国海军舰艇编队基本的无线通信手段及其管理方式,并归纳了其特点。     

中美日海洋执法机构的组织架构对比

海上执法机构是海洋执法和管理的核心力量,目前我国海上执法机构正处于体制建设的初期阶段,逐步由分散型海洋管理模式向综合型模式转变.为促进我国海上执法机构的体制完善,提升我国海上执法效能,本文整理和对比分析了中国、美国及日本海上执法机构的组织结构.同时,结合美日海洋执法机构相对成熟组织架构,从执法依据及教育培养两方面,提出了我国海上执法机构的发展建议.     

A methodology for identifying similar days in air traffic flow management initiative planning

This article describes a methodology for selecting days that are comparable in terms of the conditions faced during air traffic flow management initiative planning. This methodology includes the use of specific data sources, specific features of calendar days defined using these data sources, and the application of a specific form of classification and then cluster analysis. The application of this methodology will produce results that enable historical analysis of the use of initiatives and evaluation of the relative success of different courses of action. Several challenges are overcome here including the need to identify the appropriate machine learning algorithms to apply, to quantify the differences between calendar days, to select features describing days, to obtain appropriate raw data, and to evaluate results in a meaningful way. These challenges are overcome via a review of relevant literature, the identification and trial of several useful models and data sets, and careful application of methods. For example, the cluster analysis that ultimately selects sets of similar days uses a distance metric based on variable importance measures from a separate classification model of observed initiatives. The methodology defined here is applied to the New York area, although it could be applied by other researchers to other areas.     

Motorway crash duration and its determinants: do durations vary across motorways?

Traffic congestion has been a growing issue in many metropolitan areas during recent years, which necessitates the identification of its key contributors and development of sustainable strategies to help decrease its adverse impacts on traffic networks. Road incidents generally and crashes specifically have been acknowledged as the cause of a large proportion of travel delays in urban areas and account for 25% to 60% of traffic congestion on motorways. Identifying the critical determinants of travel delays has been of significant importance to the incident management systems, which constantly collect and store the incident duration data. This study investigates the individual and simultaneous differential effects of the relevant determinants on motorway crash duration probabilities. In particular, it applies parametric Accelerated Failure Time (AFT) hazard‐based models to develop in‐depth insights into how the crash‐specific characteristic and the associated temporal and infrastructural determinants impact the duration. AFT models with both fixed and random parameters have been calibrated on one year of traffic crash records from two major Australian motorways in South East Queensland, and the differential effects of determinants on crash survival functions have been studied on these two motorways individually. A comprehensive spectrum of commonly used parametric fixed parameter AFT models, including generalized gamma and generalized F families, has been compared with random parameter AFT structures in terms of goodness of fit to the duration data, and as a result, the random parameter Weibull AFT model has been selected as the most appropriate model. Significant determinants of motorway crash duration included traffic diversion requirement, crash injury type, number and type of vehicles involved in a crash, day of week and time of day, towing support requirement and damage to the infrastructure. A major finding of this research is that the motorways under study are significantly different in terms of crash durations; such that motorway 1 exhibits durations that are on average 19% shorter compared with the durations on motorway 2. The differential effects of explanatory variables on crash durations are also different on the two motorways. The detailed presented analysis confirms that looking at the motorway network as a whole, neglecting the individual differences between roads, can lead to erroneous interpretations of duration and inefficient strategies for mitigating travel delays along a particular motorway.