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物流管理信息系统 第2版 版权信息
- ISBN：9787111751007
- 条形码：9787111751007 ; 978-7-111-75100-7
- 装帧：平装-胶订
- 册数：暂无
- 重量：暂无
- 所属分类：>
物流管理信息系统 第2版 本书特色
推荐1：透视物流管理信息系统的发展脉络。从物流管理信息系统概述，到物流管理信息系统实施和维护，由浅入深，细致全面地呈现物流信息领域等环节的发展新貌。推荐2：新增物流管理中先进信息技术的内容。深度阐述了大数据、物联网、云计算、区块链、人工智能等技术的定义、特征、处理流程、分析方法与在物流领域的应用。推荐3：图文并茂，案例内容与时俱进。融合多类图表，精简物流管理知识，用新颖的物流管理知识及案例帮助读者了解前沿的物流管理现状，指导读者实际应用，有效提升实操技能。
物流管理信息系统 第2版 内容简介
本书全面系统地介绍了物流管理信息系统的基本理论及其在物流领域中的应用。本书共分8章，内容主要涉及数据和信息科学基础知识、物流管理信息系统概述、支撑物流管理的前沿信息技术、物流信息的识别和处理、物流管理信息系统规划、物流管理信息系统分析、物流管理信息系统设计、物流管理信息系统实施和维护等。 本书提供了大量与物流管理信息系统及其应用有关的案例和补充阅读材料，内容丰富，侧重于实用性和操作性。每章开始都有引例和学习要点，结尾有本章小结和形式多样的习题，便于读者理解和巩固各章内容，是较为成熟的物流管理信息系统教材。
物流管理信息系统 第2版 目录
前言
第1 章 数据和信息科学基础知识 ············ 1
引例 中国航运大数据平台项目 ················ 2
1.1 数据和信息的概念与关系 ·················· 6
1.1.1 数据的定义、分类和特征 ········· 6
1.1.2 信息的定义、分类和特征 ········· 9
1.1.3 知识的概念、分类和特征 ········ 11
1.1.4 数据与信息的区别和联系 ········13
1.2 信息系统的概念和组成 ····················14
1.2.1 信息系统的概念和结构 ···········15
1.2.2 信息系统的组成和功能 ···········16
1.2.3 信息系统的发展历程 ··············18
1.3 管理信息系统的概念和发展 ··············20
1.3.1 管理信息系统的概念 ··············20
1.3.2 管理信息系统的发展历程 ········22
1.3.3 管理信息系统发展的新变化 ·····23
本章小结 ·············································25
关键术语 ·············································25
习题 ···················································25
案例分析 招商物流的供应链管理信息系统建设 ······························26
第2 章 物流管理信息系统概述 ·············· 32
引例 物流管理信息系统中的仓储管理系统 ······························33
2.1 物流的概念和物流信息 ····················34
2.1.1 物流概念和基本职能 ··············34
2.1.2 物流信息及其特征 ·················39
2.2 物流管理的概念和内容 ····················42
2.2.1 物流管理的含义及目的 ···········42
2.2.2 物流管理的特点 ····················43
2.2.3 物流管理的内容 ····················43
2.3 物流管理信息系统的结构和功能 ········44
2.3.1 物流管理信息系统的概念 ········44
2.3.2 物流管理信息系统的结构 ········45
2.3.3 物流管理信息系统的功能 ········47
2.4 物流管理信息系统的发展趋势 ···········49
2.4.1 物流管理信息系统的发展阶段 ···49
2.4.2 物流管理信息系统的发展趋势 ···50
本章小结 ·············································51
关键术语 ·············································51
习题 ···················································52
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
第3 章 支撑物流管理的前沿信息技术 ····· 54
引例 上汽通用五菱的数智化物流 ············55
3.1 大数据技术 ····································56
3.1.1 大数据的来源 ·······················56
3.1.2 大数据的定义和特征 ··············57
3.1.3 大数据处理流程 ····················58
3.1.4 大数据分析方法 ····················60
3.1.5 大数据技术在物流中的应用 ·····62
3.2 物联网技术 ····································63
3.2.1 物联网的基本概念 ·················63
3.2.2 物联网的三层架构模式 ···········65
3.2.3 物联网技术在物流中的应用 ·····66
3.3 云计算技术 ····································67
3.3.1 云计算的起源与发展 ··············67
3.3.2 云计算的定义和特征 ··············68
3.3.3 云计算的部署模型 ·················69
3.3.4 云计算的体系结构与技术
支持 ····································71
3.3.5 云计算技术在物流中的应用 ·····73
3.4 区块链技术 ····································73
3.4.1 区块链的产生与发展 ··············74
3.4.2 区块链的定义与特征 ··············75
3.4.3 区块链的核心技术 ·················76
3.4.4 区块链技术在物流中的应用 ·····77
3.5 人工智能技术 ·································79
3.5.1 人工智能的基本概念 ··············79
3.5.2 人工智能的发展历程 ··············82
3.5.3 人工智能技术的应用领域 ········83
3.5.4 人工智能技术在物流中的
应用 ····································85
本章小结 ·············································87
关键术语 ·············································87
习题 ···················································87
案例分析 唯捷城配的成功升级 ···············88
第4 章 物流信息的识别和处理 ·············· 90
引例 血液追踪 ····································91
4.1 物流信息的自动识别与采集技术 ········92
4.1.1 条码及扫描技术 ····················92
4.1.2 射频识别技术 ·······················98
4.2 物流信息的跟踪技术 ····················· 102
4.2.1 地理信息系统技术 ··············· 103
4.2.2 全球定位系统技术 ··············· 105
4.3 物流管理信息系统的存储和传输技术 ··· 109
4.3.1 数据库管理技术 ·················· 109
4.3.2 局域网络技术 ······················111
4.3.3 数据仓库 ··························· 113
4.4 物流信息的交换技术 ····················· 116
4.4.1 EDI 的含义和特点 ················ 116
4.4.2 EDI 的系统构成及工作原理 ··· 117
4.4.3 EDI 在物流中的应用 ············· 120
本章小结 ··········································· 122
关键术语 ··········································· 122
习题 ················································· 122
案例分析 亚马逊如何借助大数据给物流“降本增效” ·················· 123
第5 章 物流管理信息系统规划 ············ 127
引例 京东物流的“5G 三连跳” ············· 128
5.1 物流管理信息系统规划概述 ············ 129
5.1.1 诺兰阶段模型 ····················· 129
5.1.2 规划的主要内容 ·················· 130
5.1.3 规划的步骤 ························ 131
5.1.4 规划的特点 ························ 131
5.1.5 规划的目标 ························ 132
5.1.6 规划的原则 ························ 132
5.2 物流管理信息系统规划方法 ············ 133
5.2.1 关键成功因素法 ·················· 133
5.2.2 企业系统规划法 ·················· 135
5.2.3 战略目标集转化法 ··············· 135
5.3 基于BSP 方法的物流管理信息系统
规划 ··········································· 136
5.3.1 规划的前期工作 ·················· 136
5.3.2 定义企业目标 ····················· 138
5.3.3 定义企业过程 ····················· 138
5.3.4 定义数据类 ························ 141
5.3.5 设计信息系统总体结构 ········· 142
5.3.6 BSP 方法的特点分析 ············ 145
5.4 组织安排与项目进度的制定 ············ 146
5.4.1 系统实施的组织安排 ············ 146
5.4.2 项目进度的制定 ·················· 147
本章小结 ··········································· 148
关键术语 ··········································· 148
习题 ················································· 149
案例分析 国家电网与顺丰供应链深入物
流信息化合作 ······················ 150
第6 章 物流管理信息系统分析 ············ 152
引例 智能数据可视化分析助力传统零售转型智慧零售 ························ 153
6.1 物流管理信息系统分析概述 ············ 154
6.1.1 系统分析的目标和步骤 ········· 154
6.1.2 系统分析的任务 ·················· 155
6.2 物流管理信息系统的需求分析 ········· 156
6.2.1 系统调查的原则 ·················· 156
6.2.2 初步调查 ··························· 156
6.2.3 可行性分析 ························ 158
6.2.4 详细调查 ··························· 159
6.3 物流管理信息系统组织结构与业务流程分析 ···················· 161
6.3.1 物流组织的构成 ·················· 161
6.3.2 业务流程分析 ····················· 163
6.3.3 业务流程重组 ····················· 166
6.4 物流管理信息系统数据流程分析 ······ 168
6.4.1 数据流程分析的内容 ············ 168
6.4.2 数据流程图 ························ 169
6.4.3 数据字典 ··························· 172
本章小结 ··········································· 174
关键术语 ··········································· 175
习题 ················································· 175
案例分析 中外运物流管理信息系统 ······ 176
第7 章 物流管理信息系统设计 ············ 179
引例 北京邮政EMS 物流管理信息系统 ··· 180
7.1 物流管理信息系统设计概述 ············ 182
7.1.1 系统设计的基本任务 ············ 182
7.1.2 系统设计的方法 ·················· 183
7.2 总体结构设计 ······························· 183
7.2.1 系统划分 ··························· 183
7.2.2 模块化设计 ························ 184
7.3 代码设计 ····································· 190
7.3.1 代码的分类 ························ 190
7.3.2 代码设计的主要步骤 ············ 192
7.3.3 代码的校验 ························ 192
7.4 数据库设计 ·································· 193
7.4.1 概念结构设计 ····················· 193
7.4.2 逻辑结构设计 ····················· 195
7.4.3 物理结构设计 ····················· 196
7.5 输入输出设计 ······························· 197
7.5.1 输入设计 ··························· 197
7.5.2 输出设计 ··························· 198
7.5.3 I/O 用户界面设计 ················· 200
本章小结 ··········································· 204
关键术语 ··········································· 205
习题 ················································· 205
案例分析 某厂库存管理信息系统的分析与设计 ········
第1 章 数据和信息科学基础知识 ············ 1
引例 中国航运大数据平台项目 ················ 2
1.1 数据和信息的概念与关系 ·················· 6
1.1.1 数据的定义、分类和特征 ········· 6
1.1.2 信息的定义、分类和特征 ········· 9
1.1.3 知识的概念、分类和特征 ········ 11
1.1.4 数据与信息的区别和联系 ········13
1.2 信息系统的概念和组成 ····················14
1.2.1 信息系统的概念和结构 ···········15
1.2.2 信息系统的组成和功能 ···········16
1.2.3 信息系统的发展历程 ··············18
1.3 管理信息系统的概念和发展 ··············20
1.3.1 管理信息系统的概念 ··············20
1.3.2 管理信息系统的发展历程 ········22
1.3.3 管理信息系统发展的新变化 ·····23
本章小结 ·············································25
关键术语 ·············································25
习题 ···················································25
案例分析 招商物流的供应链管理信息系统建设 ······························26
第2 章 物流管理信息系统概述 ·············· 32
引例 物流管理信息系统中的仓储管理系统 ······························33
2.1 物流的概念和物流信息 ····················34
2.1.1 物流概念和基本职能 ··············34
2.1.2 物流信息及其特征 ·················39
2.2 物流管理的概念和内容 ····················42
2.2.1 物流管理的含义及目的 ···········42
2.2.2 物流管理的特点 ····················43
2.2.3 物流管理的内容 ····················43
2.3 物流管理信息系统的结构和功能 ········44
2.3.1 物流管理信息系统的概念 ········44
2.3.2 物流管理信息系统的结构 ········45
2.3.3 物流管理信息系统的功能 ········47
2.4 物流管理信息系统的发展趋势 ···········49
2.4.1 物流管理信息系统的发展阶段 ···49
2.4.2 物流管理信息系统的发展趋势 ···50
本章小结 ·············································51
关键术语 ·············································51
习题 ···················································52
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
第3 章 支撑物流管理的前沿信息技术 ····· 54
引例 上汽通用五菱的数智化物流 ············55
3.1 大数据技术 ····································56
3.1.1 大数据的来源 ·······················56
3.1.2 大数据的定义和特征 ··············57
3.1.3 大数据处理流程 ····················58
3.1.4 大数据分析方法 ····················60
3.1.5 大数据技术在物流中的应用 ·····62
3.2 物联网技术 ····································63
3.2.1 物联网的基本概念 ·················63
3.2.2 物联网的三层架构模式 ···········65
3.2.3 物联网技术在物流中的应用 ·····66
3.3 云计算技术 ····································67
3.3.1 云计算的起源与发展 ··············67
3.3.2 云计算的定义和特征 ··············68
3.3.3 云计算的部署模型 ·················69
3.3.4 云计算的体系结构与技术
支持 ····································71
3.3.5 云计算技术在物流中的应用 ·····73
3.4 区块链技术 ····································73
3.4.1 区块链的产生与发展 ··············74
3.4.2 区块链的定义与特征 ··············75
3.4.3 区块链的核心技术 ·················76
3.4.4 区块链技术在物流中的应用 ·····77
3.5 人工智能技术 ·································79
3.5.1 人工智能的基本概念 ··············79
3.5.2 人工智能的发展历程 ··············82
3.5.3 人工智能技术的应用领域 ········83
3.5.4 人工智能技术在物流中的
应用 ····································85
本章小结 ·············································87
关键术语 ·············································87
习题 ···················································87
案例分析 唯捷城配的成功升级 ···············88
第4 章 物流信息的识别和处理 ·············· 90
引例 血液追踪 ····································91
4.1 物流信息的自动识别与采集技术 ········92
4.1.1 条码及扫描技术 ····················92
4.1.2 射频识别技术 ·······················98
4.2 物流信息的跟踪技术 ····················· 102
4.2.1 地理信息系统技术 ··············· 103
4.2.2 全球定位系统技术 ··············· 105
4.3 物流管理信息系统的存储和传输技术 ··· 109
4.3.1 数据库管理技术 ·················· 109
4.3.2 局域网络技术 ······················111
4.3.3 数据仓库 ··························· 113
4.4 物流信息的交换技术 ····················· 116
4.4.1 EDI 的含义和特点 ················ 116
4.4.2 EDI 的系统构成及工作原理 ··· 117
4.4.3 EDI 在物流中的应用 ············· 120
本章小结 ··········································· 122
关键术语 ··········································· 122
习题 ················································· 122
案例分析 亚马逊如何借助大数据给物流“降本增效” ·················· 123
第5 章 物流管理信息系统规划 ············ 127
引例 京东物流的“5G 三连跳” ············· 128
5.1 物流管理信息系统规划概述 ············ 129
5.1.1 诺兰阶段模型 ····················· 129
5.1.2 规划的主要内容 ·················· 130
5.1.3 规划的步骤 ························ 131
5.1.4 规划的特点 ························ 131
5.1.5 规划的目标 ························ 132
5.1.6 规划的原则 ························ 132
5.2 物流管理信息系统规划方法 ············ 133
5.2.1 关键成功因素法 ·················· 133
5.2.2 企业系统规划法 ·················· 135
5.2.3 战略目标集转化法 ··············· 135
5.3 基于BSP 方法的物流管理信息系统
规划 ··········································· 136
5.3.1 规划的前期工作 ·················· 136
5.3.2 定义企业目标 ····················· 138
5.3.3 定义企业过程 ····················· 138
5.3.4 定义数据类 ························ 141
5.3.5 设计信息系统总体结构 ········· 142
5.3.6 BSP 方法的特点分析 ············ 145
5.4 组织安排与项目进度的制定 ············ 146
5.4.1 系统实施的组织安排 ············ 146
5.4.2 项目进度的制定 ·················· 147
本章小结 ··········································· 148
关键术语 ··········································· 148
习题 ················································· 149
案例分析 国家电网与顺丰供应链深入物
流信息化合作 ······················ 150
第6 章 物流管理信息系统分析 ············ 152
引例 智能数据可视化分析助力传统零售转型智慧零售 ························ 153
6.1 物流管理信息系统分析概述 ············ 154
6.1.1 系统分析的目标和步骤 ········· 154
6.1.2 系统分析的任务 ·················· 155
6.2 物流管理信息系统的需求分析 ········· 156
6.2.1 系统调查的原则 ·················· 156
6.2.2 初步调查 ··························· 156
6.2.3 可行性分析 ························ 158
6.2.4 详细调查 ··························· 159
6.3 物流管理信息系统组织结构与业务流程分析 ···················· 161
6.3.1 物流组织的构成 ·················· 161
6.3.2 业务流程分析 ····················· 163
6.3.3 业务流程重组 ····················· 166
6.4 物流管理信息系统数据流程分析 ······ 168
6.4.1 数据流程分析的内容 ············ 168
6.4.2 数据流程图 ························ 169
6.4.3 数据字典 ··························· 172
本章小结 ··········································· 174
关键术语 ··········································· 175
习题 ················································· 175
案例分析 中外运物流管理信息系统 ······ 176
第7 章 物流管理信息系统设计 ············ 179
引例 北京邮政EMS 物流管理信息系统 ··· 180
7.1 物流管理信息系统设计概述 ············ 182
7.1.1 系统设计的基本任务 ············ 182
7.1.2 系统设计的方法 ·················· 183
7.2 总体结构设计 ······························· 183
7.2.1 系统划分 ··························· 183
7.2.2 模块化设计 ························ 184
7.3 代码设计 ····································· 190
7.3.1 代码的分类 ························ 190
7.3.2 代码设计的主要步骤 ············ 192
7.3.3 代码的校验 ························ 192
7.4 数据库设计 ·································· 193
7.4.1 概念结构设计 ····················· 193
7.4.2 逻辑结构设计 ····················· 195
7.4.3 物理结构设计 ····················· 196
7.5 输入输出设计 ······························· 197
7.5.1 输入设计 ··························· 197
7.5.2 输出设计 ··························· 198
7.5.3 I/O 用户界面设计 ················· 200
本章小结 ··········································· 204
关键术语 ··········································· 205
习题 ················································· 205
案例分析 某厂库存管理信息系统的分析与设计 ········
展开全部
物流管理信息系统 第2版 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。
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。
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