企业物流信息系统研究

针对企业物流信息系统建设的难题，创建了新型的物流信息系统体系结构，进行了物流信息系统设计、包括供应链模型设计、供应链调度计划系统设计和物流运作设计．最后，建立了物流信息系统评价体系，包括评价原则、项目投资过程管理和评价指标体系．     

一种物流信息系统体系结构的探讨

基于广义信息系统的体系结构，针对物流系统的自身的特性，提出物流信息系统体系结构（LISA）。这个结构包括：战略计划系统、协调控制系统、业务处理系统和信息平台、信息基础设施。对于该结构的组成部分，分析了其交互关系并详细描述了它们的输入、输出和功能。     

一种基于XML交换的物流管理信息系统的设计与实现

信息资源被看作是获得未来物流竞争优势的关键因素之一，物流信息系统设计逐渐成为研究热点，本文首先分析了物流系统的特征，然后针对可扩展标记语言XML的特点，提出了一种基于XML交换的物理信息系统设计模型，对该模型各模块进行了探讨，并对该模型进行了可行性分析，最后在UNIX环境下利用该模型的思想实现了一个可运行的系统。     

基于移动技术的物流信息系统的设计与实现

基于移动技术的物流信息系统在充分利用管理信息系统、数据库和网络技术的基础上,通过空间地理数据库的建立,实现地理信息的查询,快速准确地查询物流配送信息所提供的各个方面信息,对涉及物流、销售的所有方面内容实行集中统一管理。移动物流管理系统可以实现精确服务和"快速响应"、降低经济成本、提高信息处理能力、提高工作效率,达到加速整个物流行业发展的目的。     

一种仓储管理物流信息系统的设计与实现

经济全球化和区域经济一体化要求企业具备跨国经营的战略和全球运营的信息系统作为支持,物流信息系统是企业管理信息系统中重要的组成部分,本文以某制造型企业的仓储管理物流信息系统的设计、开发与实现为例,讨论了物流信息系统开发的一般原则和技术实现手段,为电子商务环境下物流系统的发展与实践进行了有益的探索.     

天津市加快现代物流信息化建设总体目标"一个平台、四个系统"

记者从天津市政府交通委员会获悉,天津将采取措施加快规划建设物流信息平台,推进企业物流信息化步伐。重点建设“一个平台,四个系统”,即天津物流公共信息平台和国际物流信息系统、公路长途配载物流信息系统、城市配送物流信息系统、多式联运物流信息系统。     

基于ASP.NET 4.0物流货运管理信息平台设计与实现

介绍利用Ajax技术,以ASP.NET4.0作为开发工具和以SQL Server 2005作为数据库来构建物流货运管理信息平台的方法,详细介绍物流货运管理信息平台的功能实现。研究表明,该平台具有敏捷处理全局信息的能力、响应迅速、可重构性及可扩展性,有实践意义。     

SOA在物流系统中应用研究

物流相关企业的信息系统构架各异,实现的方式很多.因此,给各企业物流系统问的信息互通造成了障碍.研究了面向服务结构的组件模型及其实现的关键技术,提出了基于面向服务结构实现企业间物流信息系统的集成思想及其结构模型并加以分析,最后给出了一个应用例子加以验证.解决了物流信息系统间信息共享障碍,实现了整个信息平台的互通.     

基于GIS技术的物流信息系统设计架构

为解决中小物流企业在基于GIS的物流信息系统应用中存在的问题,分析了传统的物流信息系统和基于GIS技术平台的物流信息系统的架构,指出了各自的优点及存在的缺陷.在此基础上,设计了一种面向服务的组件式GIS物流系统四层架构,以ArcSDE和ArcIMS为GIS开发平台给出了具体的部署方案.阐述了基础设施层、空间信息支撑层、业务服务支撑层、业务应用层及层中各组件之间的相互关系.以此开发的原型系统表明了架构方案的业务处理敏捷、系统接口松散耦合、功能构件可组合复用等特点.     

基于Janeva的异构环境中企业物流信息系统集成研究

利用Janeva技术设计了异构环境中企业物流信息系统集成的方案,并针对实际情况,给出了一个物流信息系统的初步实现。     

Information Processing and Firm‐Internal Environment Contingencies: Performance Impact on Global New Product Development

Innovation in its essence is an information processing activity. Thus, a major factor impacting the success of new product development (NPD) programs, especially those responding to global markets, is the firm's ability to access, share and apply NPD information, which is often widely dispersed, functionally, geographically and culturally. To this end, an IT‐communication strength is essential, one that is nested in an internal organizational environment that ensures its effective functioning. Using organizational information processing (OIP) theory as a framework, superior global NPD program performance is shown to result from an effective IT/Communication strength and the commitment components of the firm's internal environment, which are hypothesized to moderate this relationship. IT/Communication strength is identified in this study in terms of two components including the IT/Comm Infrastructure and IT/Comm Capability of the firm, whereas the moderating internal environment of the firm incorporates Resource Commitment and Senior Management Involvement. Data from a major empirical study of international NPD programs (382 SBUs) are used to develop and test this model. Based on a hierarchical regression analysis, the results are substantially supportive, with some unexpected findings. These shed light on the complex relationships of the firm's internal environment, OIP competency, and global NPD program performance.     

The NASA-Goddard Multi-scale Modeling Framework–Land Information System: Global land/atmosphere interaction with resolved convection

The present generation of general circulation models (GCM) use parameterized cumulus schemes and run at hydrostatic grid resolutions. To improve the representation of cloud-scale moist processes and land–atmosphere interactions, a global, Multi-scale Modeling Framework (MMF) coupled to the Land Information System (LIS) has been developed at NASA-Goddard Space Flight Center. The MMF–LIS has three components, a finite-volume (fv) GCM (Goddard Earth Observing System Ver. 4, GEOS-4), a 2D cloud-resolving model (Goddard Cumulus Ensemble, GCE), and the LIS, representing the large-scale atmospheric circulation, cloud processes, and land surface processes, respectively. The non-hydrostatic GCE model replaces the single-column cumulus parameterization of fvGCM. The model grid is composed of an array of fvGCM gridcells each with a series of embedded GCE models. A horizontal coupling strategy, GCE ↔ fvGCM ↔ Coupler ↔ LIS, offered significant computational efficiency, with the scalability and I/O capabilities of LIS permitting land–atmosphere interactions at cloud-scale. Global simulations of 2007–2008 and comparisons to observations and reanalysis products were conducted. Using two different versions of the same land surface model but the same initial conditions, divergence in regional, synoptic-scale surface pressure patterns emerged within two weeks. The sensitivity of large-scale circulations to land surface model physics revealed significant functional value to using a scalable, multi-model land surface modeling system in global weather and climate prediction.     

浅谈实验室信息系统(LIS)的设计和实施

随着医院信息化、数字化建设,实验室信息系统(laboratory information system,LIS)成为医院信息系统不可缺少的部分。该文简述了医院信息系统(HIS)中LIS系统的设计和实施过程。     

土地信息系统的研究现状与发展动态

从土地信息系统的基本特征、功能和任务入手,分析了当前土地信息系统的发展现状和应用水平,并结合计算机及相关领域技术和理论的发展,深入探讨了土地信息系统的发展动态主要表现在：“3S”一体化研究、土地数据标准化研究、时空数据模型研究、基于知识工程的土地信息系统研究和分布式土地信息系统研究等方面。     

土地信息系统中面向对象数据模型的研究与应用

土地信息系统是以土地资源与资产管理为工作对象的计算机信息系统。土地信息具有综合性、共享性、动态性等特点。在对土地信息系统数据结构和操作进行分析的基础上,对面向对象的土地信息系统数据模型进行了研究。以之为基础进行了农用地分等定级实例对象的封装,并对该对象的内部结构进行了描述。     

开放式的企业集成化信息系统研究

信息以及对信息的快速自动化反映能力将是企业在未来全球竞争中获胜的关键。文章在分析了目前我国制造企业的信息自动化系统不足的基础上,提出了企业以建立电子商务系统为契机,将电子商务与企业内部集成化信息系统进行横向和纵向集成,形成开放式的企业集成化信息系统,提高企业的信息自动化水平和市场竞争能力。     

Coding of temporally varying signals in networks of spiking neurons with global delayed feedback

Oscillatory and synchronized neural activities are commonly found in the brain, and evidence suggests that many of them are caused by global feedback. Their mechanisms and roles in information processing have been discussed often using purely feedforward networks or recurrent networks with constant inputs. On the other hand, real recurrent neural networks are abundant and continually receive information-rich inputs from the outside environment or other parts of the brain. We examine how feedforward networks of spiking neurons with delayed global feedback process information about temporally changing inputs. We show that the network behavior is more synchronous as well as more correlated with and phase-locked to the stimulus when the stimulus frequency is resonant with the inherent frequency of the neuron or that of the network oscillation generated by the feedback architecture. The two eigenmodes have distinct dynamical characteristics, which are supported by numerical simulations and by analytical arguments based on frequency response and bifurcation theory. This distinction is similar to the class I versus class II classification of single neurons according to the bifurcation from quiescence to periodic firing, and the two modes depend differently on system parameters. These two mechanisms may be associated with different types of information processing.     

动态上下文环境下的实时分布式多媒体系统框架

伴随着多媒体采集和处理设备成本的不断降低,以及处理目标的不断复杂化,多媒体信息系统正朝着大规模数据分析和管理系统靠拢,因此如何有效支持实时分布式多媒体信息所需的实时采集、压缩、传输、处理、描述、反馈与存档,以及后期的浏览与检索,已经成为多媒体计算研究的重要问题。为了有效支持实时分布式多媒体信息的实时采集、传输、处理、描述、存档等的需要,在分析动态上下文环境下实时分布式多媒体系统对底层采集、压缩和传输以及信息的表达和存储的普遍需求的基础上,提出并实现了一个通用的实时分布式媒体信息处理框架,以便为实时分布多媒体系统提供基础服务支持。该框架包括软件平台和信息系统两部分。前者用于将逻辑功能与物理设备隔离开来,完成实时采集、压缩、传输和解压等功能;后者通过统一信息表达格式,将数据与特定的采集处理模块隔离开来,同时还提供了信息管理的功能,以便于用户后期检索。这两部分共同将多媒体系统所需要的实时采集、处理、压缩、描述、反馈与存档以及离线浏览与检索等服务融入一致、统一的框架中。基于该框架的会议系统的相关实验表明,该框架具有良好的开放性、可配置性和可扩展性。     

Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition,using the extended belief rule-based inference methodology

Smart environments are heterogeneous architectures with a broad range of heterogeneous electronic devices that are with high in processing capabilities for computing, considering low power consumption. They have the ability to record information about the behavior of the people by means of their interactions with the objects within an environment. This kind of environments are providing solutions to address some of the problems associated with the growing size and ageing of the population by means of the recognition of activities that can offer monitoring activities of daily living and adapting the environment. In order to deploy low-cost smart environments and reduce the computational complexity for activity recognition, it is a key issue to know the subset of sensors which are relevant for activity recognition. By using feature selection methods to optimize the subset of initial sensors in a smart environment, this paper proposes the adaption of the extended belief rule-based inference methodology (RIMER+) to handle data binary sensors and its use as the suitable classifier for activity recognition that keeps the accuracy of results even in situations where an essential sensor fails. A case study is presented in which a smart environment dataset for activity recognition with 14 sensors is set. Two optimizations with 7 and 10 sensors are obtained with two feature selection methods in which the adaptation of RIMER+ for smart environment provides an encouraged performance against the most popular classifiers in terms of robustness.     

A dual‐response strategy for global logistics under uncertainty: a case study of a third‐party logistics company

This paper examines global logistics problems experienced by a third‐party logistics (3PL) company that is responsible for transporting goods from one country to another by road, as well as warehousing goods in two countries. Because of the limited fleet capacity, the logistics company has to hire additional trucks from two countries in advance. However, customer's shipment information is uncertain, and the accurate shipment notice is only available on the shipping day. This paper proposes a dual‐response logistics strategy to be as responsive as possible for coping with short shipment notice time and uncertainty involved. A two‐stage stochastic mixed 0–1 programming model is formulated to satisfy customer demand while minimizing the total logistics cost. A series of experiments demonstrate the effectiveness of the proposed stochastic model. Compared to the corresponding expected value model, the stochastic model provides a more responsive and less expensive global logistics system.