基于Agent的物流配送决策支持系统研究

物流配送是一个涉及多种影响因素的综合性复杂问题。本文探讨了基于Agent(智能体技术)的物流配送决策支持系统设计，在该系统中的智能体模型中引入学习机制，初步建立了一个具有专家系统特点、可以不断进化的物流配送决策支持系统。     

LDSS的研究

通过分析决策支持系统的特点及作用,针对物流系统提出了物流决策支持系统结构模型,并对其功能及实现进行了探讨和研究。     

Explicit filters and supply chain design

Due to the complexity of present day supply chains it is important to select the simplest supply chain scheduling decision support system (DSS) which will determine and place orders satisfactorily. We propose to use a generic design framework, termed the explicit filter methodology, to achieve this objective. In doing so we compare the explicit filter approach to the implicit filter approach utilised in previous OR research the latter focusing on minimising a cost function. Although the eventual results may well be similar with both approaches it is much clearer to the designer, both why and how, an ordering system will reduce the Bullwhip effect via the explicit filter approach. The “explicit filter” approach produces a range of DSS designs corresponding to best practice. These may be “mixed and matched” to generate a number of competitive delivery pipelines to suit the specific business scenario.     

基于 GIS的客户关系管理 DSS分析与设计

本文对基于GIS的客户关系管理的综合决策支持系统进行初步探讨。针对客户关系管理的特点，将地理信息系统(CIS)与综合决策支持系统技术(DSS)相结合，设计了用于客户关系管理的综合决策支持系统框架，阐述了设计原理，并进行相应的系统分析。     

数据仓库技术的产生及发展

数据仓库技术 ( DW)是近年来出现并迅速发展的一项技术。本文主要从数据仓库的定义 ,基本特性 ,数据组织方式等几个方面简要阐述了数据仓库在综合决策支持系统中的应用。     

财务管理神经网络智能决策支持系统的研究

财务管理决策支持系统(简称DSS)是辅助各级决策者实现财务管理的科学决策系统。它主要通过人机交互的方式,利用大量财务数据和众多模型来实现科学性的管理。神经网络是一种非线性复杂网络系统,它主要由许多类似于神经元的处理单元组合而成。将财务管理和神经网络和决策支持系统结合可以实现财务系统的自适应并行联想推理及数据开采的自动化,使财务管理、决策、执行更加科学化、规范化、智能化。     

危险品运输及其决策支持系统研究

参考了20世纪80年代以来有关危险品运输风险分析与决策支持系统的主要研究文献,总结和介绍了风险评估的标准、决策支持系统的主要框架,以及GIS等现代信息技术在危险品运输管理中的应用。     

Consumer self‐construal and trust as determinants of the reactance to a recommender advice

Commercial recommendation agents (RAs) represent an important type of the decision support systems (DSSs) that are widely used by online retailers and firms. To date, little is known about the factors that shape the user's decision making and reactance toward the recommendations of these agents. Building on theories from psychology and information systems domains, this research proposes that a user's self‐construal and trust are two relevant factors that interact to shape the behavior toward the RA advice. Two studies, the first conducted using potential online customers and the second conducted at a behavioral laboratory, provided support to this proposition. The first study considered RA trust and showed that activating the interdependent self leads users with low (high) trust to exhibit high reactance behavior toward the RA advice. The second study variated trust using trust cues and corroborated the latter finding, while showing no important impact for the psychological reactance trait. As expected, in both studies the reactance behavior of independent users was not affected by trust. These results contribute by underscoring that social interdependence extends to RAs because the role of trust becomes salient when the interdependent self is activated for a user.     

物流信息的去伪存真：异地诊断支持系统构建

当前,物流信息系统成为第三方物流企业获取必要信息不可缺少的工具,但是,获取的信息中真伪辨别对企业的决策有着重要的影响;利用现代网络系统,借鉴机械设备故障诊断技术原理,为企业提供跨地域的技术、方法、数据、信息、经验、知识、实验实施和专家知识等,构建一个异地物流信息真伪诊断支持系统(NDSS),形成物流信息远程诊断支持中心,采用综合模糊评价方法,为第三方物流企业通过物流信息系统获得准确、可靠的物流信息提供安全保障.