物流管理信息系统 第2版
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作者王道平 李明芳
出版社机械工业
ISBN9787111751007
出版时间2024-05
装帧其他
开本其他
定价59元
货号1203262571
上书时间2024-07-02
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作者简介
王道平，男，1964年出生，博士。现任北京科技大学经济管理学院教授、博士生导师。1989年毕业于清华大学计算机系，获硕士学位，1999年获博士学位，1999年9月至2001年8月在清华大学从事博士后研究工作，研究方向为智能管理系统。2004年8月至11月在美国德克萨斯大学工商管理学院做高级访问学者。目前研究方向为供应链管理、数据挖掘等，对物流与供应链管理优化问题有较深入的研究基础。近年来在国内外期刊上发表论文20余篇，其中多篇被CSSCI或EI收录，获得省部级奖励3项。目前主持国家自然科学基金2项。<br/> 主编出版教材10余部，其中有部获得北京市高等教育精品教材。
目录
前言<br />第1 章 数据和信息科学基础知识 ············ 1<br />引例 中国航运大数据平台项目 ················ 2<br />1.1 数据和信息的概念与关系 ·················· 6<br />1.1.1 数据的定义、分类和特征 ········· 6<br />1.1.2 信息的定义、分类和特征 ········· 9<br />1.1.3 知识的概念、分类和特征 ········ 11<br />1.1.4 数据与信息的区别和联系 ········13<br />1.2 信息系统的概念和组成 ····················14<br />1.2.1 信息系统的概念和结构 ···········15<br />1.2.2 信息系统的组成和功能 ···········16<br />1.2.3 信息系统的发展历程 ··············18<br />1.3 管理信息系统的概念和发展 ··············20<br />1.3.1 管理信息系统的概念 ··············20<br />1.3.2 管理信息系统的发展历程 ········22<br />1.3.3 管理信息系统发展的新变化 ·····23<br />本章小结 ·············································25<br />关键术语 ·············································25<br />习题 ···················································25<br />案例分析 招商物流的供应链管理信息系统建设 ······························26<br />第2 章 物流管理信息系统概述 ·············· 32<br />引例 物流管理信息系统中的仓储管理系统 ······························33<br />2.1 物流的概念和物流信息 ····················34<br />2.1.1 物流概念和基本职能 ··············34<br />2.1.2 物流信息及其特征 ·················39<br />2.2 物流管理的概念和内容 ····················42<br />2.2.1 物流管理的含义及目的 ···········42<br />2.2.2 物流管理的特点 ····················43<br />2.2.3 物流管理的内容 ····················43<br />2.3 物流管理信息系统的结构和功能 ········44<br />2.3.1 物流管理信息系统的概念 ········44<br />2.3.2 物流管理信息系统的结构 ········45<br />2.3.3 物流管理信息系统的功能 ········47<br />2.4 物流管理信息系统的发展趋势 ···········49<br />2.4.1 物流管理信息系统的发展阶段 ···49<br />2.4.2 物流管理信息系统的发展趋势 ···50<br />本章小结 ·············································51<br />关键术语 ·············································51<br />习题 ···················································52<br />案例分析 快递背后的仓储智能化关键技术：自动分拣系统 ···············53<br />第3 章 支撑物流管理的前沿信息技术 ····· 54<br />引例 上汽通用五菱的数智化物流 ············55<br />3.1 大数据技术 ····································56<br />3.1.1 大数据的来源 ·······················56<br />3.1.2 大数据的定义和特征 ··············57<br />3.1.3 大数据处理流程 ····················58<br />3.1.4 大数据分析方法 ····················60<br />3.1.5 大数据技术在物流中的应用 ·····62<br />3.2 物联网技术 ····································63<br />3.2.1 物联网的基本概念 ·················63<br />3.2.2 物联网的三层架构模式 ···········65<br />3.2.3 物联网技术在物流中的应用 ·····66<br />3.3 云计算技术 ····································67<br />3.3.1 云计算的起源与发展 ··············67<br />3.3.2 云计算的定义和特征 ··············68<br />3.3.3 云计算的部署模型 ·················69<br />3.3.4 云计算的体系结构与技术<br />支持 ····································71<br />3.3.5 云计算技术在物流中的应用 ·····73<br />3.4 区块链技术 ····································73<br />3.4.1 区块链的产生与发展 ··············74<br />3.4.2 区块链的定义与特征 ··············75<br />3.4.3 区块链的核心技术 ·················76<br />3.4.4 区块链技术在物流中的应用 ·····77<br />3.5 人工智能技术 ·································79<br />3.5.1 人工智能的基本概念 ··············79<br />3.5.2 人工智能的发展历程 ··············82<br />3.5.3 人工智能技术的应用领域 ········83<br />3.5.4 人工智能技术在物流中的<br />应用 ····································85<br />本章小结 ·············································87<br />关键术语 ·············································87<br />习题 ···················································87<br />案例分析 唯捷城配的成功升级 ···············88<br />第4 章 物流信息的识别和处理 ·············· 90<br />引例 血液追踪 ···································91<br />4.1 物流信息的自动识别与采集技术 ········92<br />4.1.1 条码及扫描技术 ····················92<br />4.1.2 射频识别技术 ·······················98<br />4.2 物流信息的跟踪技术 ····················· 102<br />4.2.1 地理信息系统技术 ··············· 103<br />4.2.2 全球定位系统技术 ··············· 105<br />4.3 物流管理信息系统的存储和传输技术 ··· 109<br />4.3.1 数据库管理技术 ·················· 109<br />4.3.2 局域网络技术 ······················111<br />4.3.3 数据仓库 ··························· 113<br />4.4 物流信息的交换技术 ····················· 116<br />4.4.1 EDI 的含义和特点 ················ 116<br />4.4.2 EDI 的系统构成及工作原理 ··· 117<br />4.4.3 EDI 在物流中的应用 ············· 120<br />本章小结 ··········································· 122<br />关键术语 ··········································· 122<br />习题 ················································· 122<br />案例分析 亚马逊如何借助大数据给物流“降本增效” ·················· 123<br />第5 章 物流管理信息系统规划 ············ 127<br />引例 京东物流的“5G 三连跳” ············· 128<br />5.1 物流管理信息系统规划概述 ············ 129<br />5.1.1 诺兰阶段模型 ····················· 129<br />5.1.2 规划的主要内容 ·················· 130<br />5.1.3 规划的步骤 ························ 131<br />5.1.4 规划的特点 ························ 131<br />5.1.5 规划的目标 ························ 132<br />5.1.6 规划的原则 ························ 132<br />5.2 物流管理信息系统规划方法 ············ 133<br />5.2.1 关键成功因素法 ·················· 133<br />5.2.2 企业系统规划法 ·················· 135<br />5.2.3 战略目标集转化法 ··············· 135<br />5.3 基于BSP 方法的物流管理信息系统<br />规划 ··········································· 136<br />5.3.1 规划的前期工作 ·················· 136<br />5.3.2 定义企业目标 ····················· 138<br />5.3.3 定义企业过程 ····················· 138<br />5.3.4 定义数据类 ························ 141<br />5.3.5 设计信息系统总体结构 ········· 142<br />5.3.6 BSP 方法的特点分析 ············ 145<br />5.4 组织安排与项目进度的制定 ············ 146<br />5.4.1 系统实施的组织安排 ············ 146<br />5.4.2 项目进度的制定 ·················· 147<br />本章小结 ··········································· 148<br />关键术语 ··········································· 148<br />习题 ················································· 149<br />案例分析 国家电网与顺丰供应链深入物<br />流信息化合作 ······················ 150<br />第6 章 物流管理信息系统分析 ············ 152<br />引例 智能数据可视化分析助力传统零售转型智慧零售 ························ 153<br />6.1 物流管理信息系统分析概述 ············ 154<br />6.1.1 系统分析的目标和步骤 ········· 154<br />6.1.2 系统分析的任务 ·················· 155<br />6.2 物流管理信息系统的需求分析 ········· 156<br />6.2.1 系统调查的原则 ·················· 156<br />6.2.2 初步调查 ··························· 156<br />6.2.3 可行性分析 ························ 158<br />6.2.4 详细调查 ··························· 159<br />6.3 物流管理信息系统组织结构与业务流程分析 ···················· 161<br />6.3.1 物流组织的构成 ·················· 161<br />6.3.2 业务流程分析 ····················· 163<br />6.3.3 业务流程重组 ····················· 166<br />6.4 物流管理信息系统数据流程分析 ······ 168<br />6.4.1 数据流程分析的内容 ············ 168<br />6.4.2 数据流程图 ························ 169<br />6.4.3 数据字典 ··························· 172<br />本章小结 ··········································· 174<br />关键术语 ··········································· 175<br />习题 ················································· 175<br />案例分析 中外运物流管理信息系统 ······ 176<br />第7 章 物流管理信息系统设计 ············ 179<br />引例 北京邮政EMS 物流管理信息系统 ··· 180<br />7.1 物流管理信息系统设计概述 ············ 182<br />7.1.1 系统设计的基本任务 ············ 182<br />7.1.2 系统设计的方法 ·················· 183<br />7.2 总体结构设计 ······························· 183<br />7.2.1 系统划分 ··························· 183<br />7.2.2 模块化设计 ························ 184<br />7.3 代码设计 ····································· 190<br />7.3.1 代码的分类 ························ 190<br />7.3.2 代码设计的主要步骤 ············ 192<br />7.3.3 代码的校验 ························ 192<br />7.4 数据库设计 ·································· 193<br />7.4.1 概念结构设计 ····················· 193<br />7.4.2 逻辑结构设计 ····················· 195<br />7.4.3 物理结构设计 ····················· 196<br />7.5 输入输出设计 ······························· 197<br />7.5.1 输入设计 ··························· 197<br />7.5.2 输出设计 ··························· 198<br />7.5.3 I/O 用户界面设计 ················· 200<br />本章小结 ··········································· 204<br />关键术语 ··········································· 205<br />习题 ················································· 205<br />案例分析 某厂库存管理信息系统的分析与设计 ······························· 206<br />第8 章 物流管理信息系统实施和维护 ··· 210<br />引例 2019 年上半年物流行业的十大黑科技 ······························· 211<br />8.1 物流管理信息系统实施概述 ············ 213<br />8.1.1 物流管理信息系统实施的任务 ··· 213<br />8.1.2 物流管理信息系统实施的影响因素 ······························· 213<br />8.2 系统设计开发 ······························· 215<br />8.2.1 购置硬件 ··························· 215<br />8.2.2 购置软件 ··························· 217<br />8.2.3 程序设计 ··························· 218<br />8.3 系统测试和切换 ··························· 222<br />8.3.1 系统测试的目的和原则 ········· 222<br />
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