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物流管理信息系統 第2版 版權信息
- ISBN：9787111751007
- 條形碼：9787111751007 ; 978-7-111-75100-7
- 裝幀：平裝-膠訂
- 冊數：暫無
- 重量：暫無
- 所屬分類：>
物流管理信息系統 第2版 本書特色
推薦1：透視物流管理信息系統的發展脈絡。從物流管理信息系統概述，到物流管理信息系統實施和維護，由淺入深，細致全面地呈現物流信息領域等環節的發展新貌。推薦2：新增物流管理中先進信息技術的內容。深度闡述了大數據、物聯網、云計算、區塊鏈、人工智能等技術的定義、特征、處理流程、分析方法與在物流領域的應用。推薦3：圖文并茂，案例內容與時俱進。融合多類圖表，精簡物流管理知識，用新穎的物流管理知識及案例幫助讀者了解前沿的物流管理現狀，指導讀者實際應用，有效提升實操技能。
物流管理信息系統 第2版 內容簡介
本書全面系統地介紹了物流管理信息系統的基本理論及其在物流領域中的應用。本書共分8章，內容主要涉及數據和信息科學基礎知識、物流管理信息系統概述、支撐物流管理的前沿信息技術、物流信息的識別和處理、物流管理信息系統規劃、物流管理信息系統分析、物流管理信息系統設計、物流管理信息系統實施和維護等。 本書提供了大量與物流管理信息系統及其應用有關的案例和補充閱讀材料，內容豐富，側重于實用性和操作性。每章開始都有引例和學習要點，結尾有本章小結和形式多樣的習題，便于讀者理解和鞏固各章內容，是較為成熟的物流管理信息系統教材。
物流管理信息系統 第2版 目錄
前言
第1 章 數據和信息科學基礎知識 ············ 1
引例 中國航運大數據平臺項目 ················ 2
1.1 數據和信息的概念與關系 ·················· 6
1.1.1 數據的定義、分類和特征 ········· 6
1.1.2 信息的定義、分類和特征 ········· 9
1.1.3 知識的概念、分類和特征 ········ 11
1.1.4 數據與信息的區別和聯系 ········13
1.2 信息系統的概念和組成 ····················14
1.2.1 信息系統的概念和結構 ···········15
1.2.2 信息系統的組成和功能 ···········16
1.2.3 信息系統的發展歷程 ··············18
1.3 管理信息系統的概念和發展 ··············20
1.3.1 管理信息系統的概念 ··············20
1.3.2 管理信息系統的發展歷程 ········22
1.3.3 管理信息系統發展的新變化 ·····23
本章小結 ·············································25
關鍵術語 ·············································25
習題 ···················································25
案例分析 招商物流的供應鏈管理信息系統建設 ······························26
第2 章 物流管理信息系統概述 ·············· 32
引例 物流管理信息系統中的倉儲管理系統 ······························33
2.1 物流的概念和物流信息 ····················34
2.1.1 物流概念和基本職能 ··············34
2.1.2 物流信息及其特征 ·················39
2.2 物流管理的概念和內容 ····················42
2.2.1 物流管理的含義及目的 ···········42
2.2.2 物流管理的特點 ····················43
2.2.3 物流管理的內容 ····················43
2.3 物流管理信息系統的結構和功能 ········44
2.3.1 物流管理信息系統的概念 ········44
2.3.2 物流管理信息系統的結構 ········45
2.3.3 物流管理信息系統的功能 ········47
2.4 物流管理信息系統的發展趨勢 ···········49
2.4.1 物流管理信息系統的發展階段 ···49
2.4.2 物流管理信息系統的發展趨勢 ···50
本章小結 ·············································51
關鍵術語 ·············································51
習題 ···················································52
案例分析 快遞背后的倉儲智能化關鍵技術：自動分揀系統 ···············53
第3 章 支撐物流管理的前沿信息技術 ····· 54
引例 上汽通用五菱的數智化物流 ············55
3.1 大數據技術 ····································56
3.1.1 大數據的來源 ·······················56
3.1.2 大數據的定義和特征 ··············57
3.1.3 大數據處理流程 ····················58
3.1.4 大數據分析方法 ····················60
3.1.5 大數據技術在物流中的應用 ·····62
3.2 物聯網技術 ····································63
3.2.1 物聯網的基本概念 ·················63
3.2.2 物聯網的三層架構模式 ···········65
3.2.3 物聯網技術在物流中的應用 ·····66
3.3 云計算技術 ····································67
3.3.1 云計算的起源與發展 ··············67
3.3.2 云計算的定義和特征 ··············68
3.3.3 云計算的部署模型 ·················69
3.3.4 云計算的體系結構與技術
支持 ····································71
3.3.5 云計算技術在物流中的應用 ·····73
3.4 區塊鏈技術 ····································73
3.4.1 區塊鏈的產生與發展 ··············74
3.4.2 區塊鏈的定義與特征 ··············75
3.4.3 區塊鏈的核心技術 ·················76
3.4.4 區塊鏈技術在物流中的應用 ·····77
3.5 人工智能技術 ·································79
3.5.1 人工智能的基本概念 ··············79
3.5.2 人工智能的發展歷程 ··············82
3.5.3 人工智能技術的應用領域 ········83
3.5.4 人工智能技術在物流中的
應用 ····································85
本章小結 ·············································87
關鍵術語 ·············································87
習題 ···················································87
案例分析 唯捷城配的成功升級 ···············88
第4 章 物流信息的識別和處理 ·············· 90
引例 血液追蹤 ····································91
4.1 物流信息的自動識別與采集技術 ········92
4.1.1 條碼及掃描技術 ····················92
4.1.2 射頻識別技術 ·······················98
4.2 物流信息的跟蹤技術 ····················· 102
4.2.1 地理信息系統技術 ··············· 103
4.2.2 全球定位系統技術 ··············· 105
4.3 物流管理信息系統的存儲和傳輸技術 ··· 109
4.3.1 數據庫管理技術 ·················· 109
4.3.2 局域網絡技術 ······················111
4.3.3 數據倉庫 ··························· 113
4.4 物流信息的交換技術 ····················· 116
4.4.1 EDI 的含義和特點 ················ 116
4.4.2 EDI 的系統構成及工作原理 ··· 117
4.4.3 EDI 在物流中的應用 ············· 120
本章小結 ··········································· 122
關鍵術語 ··········································· 122
習題 ················································· 122
案例分析 亞馬遜如何借助大數據給物流“降本增效” ·················· 123
第5 章 物流管理信息系統規劃 ············ 127
引例 京東物流的“5G 三連跳” ············· 128
5.1 物流管理信息系統規劃概述 ············ 129
5.1.1 諾蘭階段模型 ····················· 129
5.1.2 規劃的主要內容 ·················· 130
5.1.3 規劃的步驟 ························ 131
5.1.4 規劃的特點 ························ 131
5.1.5 規劃的目標 ························ 132
5.1.6 規劃的原則 ························ 132
5.2 物流管理信息系統規劃方法 ············ 133
5.2.1 關鍵成功因素法 ·················· 133
5.2.2 企業系統規劃法 ·················· 135
5.2.3 戰略目標集轉化法 ··············· 135
5.3 基于BSP 方法的物流管理信息系統
規劃 ··········································· 136
5.3.1 規劃的前期工作 ·················· 136
5.3.2 定義企業目標 ····················· 138
5.3.3 定義企業過程 ····················· 138
5.3.4 定義數據類 ························ 141
5.3.5 設計信息系統總體結構 ········· 142
5.3.6 BSP 方法的特點分析 ············ 145
5.4 組織安排與項目進度的制定 ············ 146
5.4.1 系統實施的組織安排 ············ 146
5.4.2 項目進度的制定 ·················· 147
本章小結 ··········································· 148
關鍵術語 ··········································· 148
習題 ················································· 149
案例分析 國家電網與順豐供應鏈深入物
流信息化合作 ······················ 150
第6 章 物流管理信息系統分析 ············ 152
引例 智能數據可視化分析助力傳統零售轉型智慧零售 ························ 153
6.1 物流管理信息系統分析概述 ············ 154
6.1.1 系統分析的目標和步驟 ········· 154
6.1.2 系統分析的任務 ·················· 155
6.2 物流管理信息系統的需求分析 ········· 156
6.2.1 系統調查的原則 ·················· 156
6.2.2 初步調查 ··························· 156
6.2.3 可行性分析 ························ 158
6.2.4 詳細調查 ··························· 159
6.3 物流管理信息系統組織結構與業務流程分析 ···················· 161
6.3.1 物流組織的構成 ·················· 161
6.3.2 業務流程分析 ····················· 163
6.3.3 業務流程重組 ····················· 166
6.4 物流管理信息系統數據流程分析 ······ 168
6.4.1 數據流程分析的內容 ············ 168
6.4.2 數據流程圖 ························ 169
6.4.3 數據字典 ··························· 172
本章小結 ··········································· 174
關鍵術語 ··········································· 175
習題 ················································· 175
案例分析 中外運物流管理信息系統 ······ 176
第7 章 物流管理信息系統設計 ············ 179
引例 北京郵政EMS 物流管理信息系統 ··· 180
7.1 物流管理信息系統設計概述 ············ 182
7.1.1 系統設計的基本任務 ············ 182
7.1.2 系統設計的方法 ·················· 183
7.2 總體結構設計 ······························· 183
7.2.1 系統劃分 ··························· 183
7.2.2 模塊化設計 ························ 184
7.3 代碼設計 ····································· 190
7.3.1 代碼的分類 ························ 190
7.3.2 代碼設計的主要步驟 ············ 192
7.3.3 代碼的校驗 ························ 192
7.4 數據庫設計 ·································· 193
7.4.1 概念結構設計 ····················· 193
7.4.2 邏輯結構設計 ····················· 195
7.4.3 物理結構設計 ····················· 196
7.5 輸入輸出設計 ······························· 197
7.5.1 輸入設計 ··························· 197
7.5.2 輸出設計 ··························· 198
7.5.3 I/O 用戶界面設計 ················· 200
本章小結 ··········································· 204
關鍵術語 ··········································· 205
習題 ················································· 205
案例分析 某廠庫存管理信息系統的分析與設計 ········
第1 章 數據和信息科學基礎知識 ············ 1
引例 中國航運大數據平臺項目 ················ 2
1.1 數據和信息的概念與關系 ·················· 6
1.1.1 數據的定義、分類和特征 ········· 6
1.1.2 信息的定義、分類和特征 ········· 9
1.1.3 知識的概念、分類和特征 ········ 11
1.1.4 數據與信息的區別和聯系 ········13
1.2 信息系統的概念和組成 ····················14
1.2.1 信息系統的概念和結構 ···········15
1.2.2 信息系統的組成和功能 ···········16
1.2.3 信息系統的發展歷程 ··············18
1.3 管理信息系統的概念和發展 ··············20
1.3.1 管理信息系統的概念 ··············20
1.3.2 管理信息系統的發展歷程 ········22
1.3.3 管理信息系統發展的新變化 ·····23
本章小結 ·············································25
關鍵術語 ·············································25
習題 ···················································25
案例分析 招商物流的供應鏈管理信息系統建設 ······························26
第2 章 物流管理信息系統概述 ·············· 32
引例 物流管理信息系統中的倉儲管理系統 ······························33
2.1 物流的概念和物流信息 ····················34
2.1.1 物流概念和基本職能 ··············34
2.1.2 物流信息及其特征 ·················39
2.2 物流管理的概念和內容 ····················42
2.2.1 物流管理的含義及目的 ···········42
2.2.2 物流管理的特點 ····················43
2.2.3 物流管理的內容 ····················43
2.3 物流管理信息系統的結構和功能 ········44
2.3.1 物流管理信息系統的概念 ········44
2.3.2 物流管理信息系統的結構 ········45
2.3.3 物流管理信息系統的功能 ········47
2.4 物流管理信息系統的發展趨勢 ···········49
2.4.1 物流管理信息系統的發展階段 ···49
2.4.2 物流管理信息系統的發展趨勢 ···50
本章小結 ·············································51
關鍵術語 ·············································51
習題 ···················································52
案例分析 快遞背后的倉儲智能化關鍵技術：自動分揀系統 ···············53
第3 章 支撐物流管理的前沿信息技術 ····· 54
引例 上汽通用五菱的數智化物流 ············55
3.1 大數據技術 ····································56
3.1.1 大數據的來源 ·······················56
3.1.2 大數據的定義和特征 ··············57
3.1.3 大數據處理流程 ····················58
3.1.4 大數據分析方法 ····················60
3.1.5 大數據技術在物流中的應用 ·····62
3.2 物聯網技術 ····································63
3.2.1 物聯網的基本概念 ·················63
3.2.2 物聯網的三層架構模式 ···········65
3.2.3 物聯網技術在物流中的應用 ·····66
3.3 云計算技術 ····································67
3.3.1 云計算的起源與發展 ··············67
3.3.2 云計算的定義和特征 ··············68
3.3.3 云計算的部署模型 ·················69
3.3.4 云計算的體系結構與技術
支持 ····································71
3.3.5 云計算技術在物流中的應用 ·····73
3.4 區塊鏈技術 ····································73
3.4.1 區塊鏈的產生與發展 ··············74
3.4.2 區塊鏈的定義與特征 ··············75
3.4.3 區塊鏈的核心技術 ·················76
3.4.4 區塊鏈技術在物流中的應用 ·····77
3.5 人工智能技術 ·································79
3.5.1 人工智能的基本概念 ··············79
3.5.2 人工智能的發展歷程 ··············82
3.5.3 人工智能技術的應用領域 ········83
3.5.4 人工智能技術在物流中的
應用 ····································85
本章小結 ·············································87
關鍵術語 ·············································87
習題 ···················································87
案例分析 唯捷城配的成功升級 ···············88
第4 章 物流信息的識別和處理 ·············· 90
引例 血液追蹤 ····································91
4.1 物流信息的自動識別與采集技術 ········92
4.1.1 條碼及掃描技術 ····················92
4.1.2 射頻識別技術 ·······················98
4.2 物流信息的跟蹤技術 ····················· 102
4.2.1 地理信息系統技術 ··············· 103
4.2.2 全球定位系統技術 ··············· 105
4.3 物流管理信息系統的存儲和傳輸技術 ··· 109
4.3.1 數據庫管理技術 ·················· 109
4.3.2 局域網絡技術 ······················111
4.3.3 數據倉庫 ··························· 113
4.4 物流信息的交換技術 ····················· 116
4.4.1 EDI 的含義和特點 ················ 116
4.4.2 EDI 的系統構成及工作原理 ··· 117
4.4.3 EDI 在物流中的應用 ············· 120
本章小結 ··········································· 122
關鍵術語 ··········································· 122
習題 ················································· 122
案例分析 亞馬遜如何借助大數據給物流“降本增效” ·················· 123
第5 章 物流管理信息系統規劃 ············ 127
引例 京東物流的“5G 三連跳” ············· 128
5.1 物流管理信息系統規劃概述 ············ 129
5.1.1 諾蘭階段模型 ····················· 129
5.1.2 規劃的主要內容 ·················· 130
5.1.3 規劃的步驟 ························ 131
5.1.4 規劃的特點 ························ 131
5.1.5 規劃的目標 ························ 132
5.1.6 規劃的原則 ························ 132
5.2 物流管理信息系統規劃方法 ············ 133
5.2.1 關鍵成功因素法 ·················· 133
5.2.2 企業系統規劃法 ·················· 135
5.2.3 戰略目標集轉化法 ··············· 135
5.3 基于BSP 方法的物流管理信息系統
規劃 ··········································· 136
5.3.1 規劃的前期工作 ·················· 136
5.3.2 定義企業目標 ····················· 138
5.3.3 定義企業過程 ····················· 138
5.3.4 定義數據類 ························ 141
5.3.5 設計信息系統總體結構 ········· 142
5.3.6 BSP 方法的特點分析 ············ 145
5.4 組織安排與項目進度的制定 ············ 146
5.4.1 系統實施的組織安排 ············ 146
5.4.2 項目進度的制定 ·················· 147
本章小結 ··········································· 148
關鍵術語 ··········································· 148
習題 ················································· 149
案例分析 國家電網與順豐供應鏈深入物
流信息化合作 ······················ 150
第6 章 物流管理信息系統分析 ············ 152
引例 智能數據可視化分析助力傳統零售轉型智慧零售 ························ 153
6.1 物流管理信息系統分析概述 ············ 154
6.1.1 系統分析的目標和步驟 ········· 154
6.1.2 系統分析的任務 ·················· 155
6.2 物流管理信息系統的需求分析 ········· 156
6.2.1 系統調查的原則 ·················· 156
6.2.2 初步調查 ··························· 156
6.2.3 可行性分析 ························ 158
6.2.4 詳細調查 ··························· 159
6.3 物流管理信息系統組織結構與業務流程分析 ···················· 161
6.3.1 物流組織的構成 ·················· 161
6.3.2 業務流程分析 ····················· 163
6.3.3 業務流程重組 ····················· 166
6.4 物流管理信息系統數據流程分析 ······ 168
6.4.1 數據流程分析的內容 ············ 168
6.4.2 數據流程圖 ························ 169
6.4.3 數據字典 ··························· 172
本章小結 ··········································· 174
關鍵術語 ··········································· 175
習題 ················································· 175
案例分析 中外運物流管理信息系統 ······ 176
第7 章 物流管理信息系統設計 ············ 179
引例 北京郵政EMS 物流管理信息系統 ··· 180
7.1 物流管理信息系統設計概述 ············ 182
7.1.1 系統設計的基本任務 ············ 182
7.1.2 系統設計的方法 ·················· 183
7.2 總體結構設計 ······························· 183
7.2.1 系統劃分 ··························· 183
7.2.2 模塊化設計 ························ 184
7.3 代碼設計 ····································· 190
7.3.1 代碼的分類 ························ 190
7.3.2 代碼設計的主要步驟 ············ 192
7.3.3 代碼的校驗 ························ 192
7.4 數據庫設計 ·································· 193
7.4.1 概念結構設計 ····················· 193
7.4.2 邏輯結構設計 ····················· 195
7.4.3 物理結構設計 ····················· 196
7.5 輸入輸出設計 ······························· 197
7.5.1 輸入設計 ··························· 197
7.5.2 輸出設計 ··························· 198
7.5.3 I/O 用戶界面設計 ················· 200
本章小結 ··········································· 204
關鍵術語 ··········································· 205
習題 ················································· 205
案例分析 某廠庫存管理信息系統的分析與設計 ········
展開全部
物流管理信息系統 第2版 作者簡介
王道平，男，1964年出生，博士。現任北京科技大學經濟管理學院教授、博士生導師。1989年畢業于清華大學計算機系，獲碩士學位，1999年獲博士學位，1999年9月至2001年8月在清華大學從事博士后研究工作，研究方向為智能管理系統。2004年8月至11月在美國德克薩斯大學工商管理學院做高級訪問學者。目前研究方向為供應鏈管理、數據挖掘等，對物流與供應鏈管理優化問題有較深入的研究基礎。近年來在國內外期刊上發表論文20余篇，其中多篇被CSSCI或EI收錄，獲得省部級獎勵3項。目前主持國家自然科學基金2項。
主編出版教材10余部，其中有部獲得北京市高等教育精品教材。
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