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研究生:呂泰德
研究生(外文):Lu, Tai-De
論文名稱:從智慧物流角度探討資料分析技術之應用-以C公司為例
論文名稱(外文):Exploring the Application of Data Analytics from the Perspective of Smart Logistics - the Case of C Company
指導教授:蘇雄義蘇雄義引用關係
指導教授(外文):Su, Shong-Iee
口試委員:林桓李俊杉蘇雄義
口試委員(外文):Lin, HuanLee, Chun-ShenSu, Shong-Iee
口試日期:2020-06-22
學位類別:碩士
校院名稱:東吳大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:109
中文關鍵詞:包裹/郵件流資料分析技術智慧物流
外文關鍵詞:Mail/Parcel FlowData AnalyticsSmart Logistics
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在近十年間,智慧物流受到企業高度重視及討論,主要原因在於全球物流業的高度競爭,以至於物流營運的效率及技術皆有突破性的發展,其主要植基於資料分析技術在物流之應用日益茁壯,進而使物流資訊更迅速且準確地傳遞,同時也使資訊流與物流流程的連結更緊密。而在智慧物流的快速發展下,其倉庫管理、裝卸運輸、配送發貨以及訂單處理的自動化應用水平不斷提升,也使得物流資訊系統與物流商、供應商、製造商、中盤商以及顧客緊密相連,同時,也將在運輸網路中蒐集的資料即時傳遞與共享給相關單位,進而發展出以資料分析與串聯為基礎的智慧物流架構。然而,關於智慧物流及資料分析技術在物流之應用的具體內涵為何,雖已有一些開拓性探討,但是仍不足以視為通用性定義而加以採用。為此,資料分析技術在物流之應用及智慧物流的相關文獻是相當需要整合的。
本研究從資料分析在智慧物流之應用的角度,探討C公司如何從傳統物流公司轉型為以資料分析為營運基礎的物流公司,透過設計科學法探討目前C公司所面臨的問題,並分析當前資料分析在物流流程運用之關鍵技術為何、如何導入資料分析技術軟硬體設備、人力組織規劃及培育、通用資料分析之應用以及進階資料分析之應用,以解決C公司當前郵件流面臨之問題,並提高C公司在物流業之競爭力。

In the past decade, smart logistics has been highly discussed by companies, mainly because of the high competition in the global logistics industry, so that the efficiency and technology of logistics operations have breakthrough development, which is mainly based on the application of data analytics technology in logistics It is becoming stronger, which makes logistics information more quickly and accurately transmitted, and at the same time makes the connection between information flow and logistics process closer. With the rapid development of smart logistics, the automation application level of its warehouse management, loading and unloading transportation, distribution and delivery and order processing have been continuously improved, which also makes the logistics information system closely connected with logistics providers, suppliers, manufacturers, mid-market vendors and customers. At the same time, a smart logistics structure based on coordination and optimization technologies will be developed. However, regarding the specific connotation of the application of smart logistics and data analytics technology in logistics, although there have been some pioneering discussions, it is still not enough to be adopted as a general definition. For this reason, the application of data analytics technology and the related literature of smart logistics need to be integrated.
This research explores how C Company transforms from a traditional logistics company to a smart logistics company. It explores the current problems faced by C company through design science research approach, analyzing the current data, the key technologies used in the logistics process, how to carry out the human organization planning and cultivation of the data analytics team, and how to build the infrastructure of the data analytics software and hardware to solve the problems faced by C company's current mail flow and improve C company's competitiveness in the logistics industry.
Key words:Mail/Parcel Flow, Data Analytics, Smart Logistics

中文摘要 i
ABSTRACT ii
目 錄 iii
表目錄 v
圖目錄 vi
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 2
1.3研究流程 4
第二章 文獻探討 7
2.1通用智慧物流系統 7
2.2大數據管理系統在物流之應用 12
2.3資料分析技術與應用 14
第三章 研究方法與設計 19
3.1個案研究法 (Case Study) 19
3.2觀念模式建構法 (Conceptual Modeling) 20
3.3文獻回顧法 (Literature Review) 21
3.4設計科學法 (Design Science Research) 22
3.5研究設計 29
第四章 C公司智慧物流實驗室建置及大數據之發展與人才養成 31
4.1 C公司資通訊技術單位現況分析 31
4.2 智慧物流之科技層面劃分 32
4.3 從郵件流檢視智慧物流科技需求 33
4.4 智慧物流實驗室之建置規劃 36
4.5 物流大數據資料分析管理系統 38
4.6資料分析團隊 40
第五章 C公司資料分析應用與組織設計之探討 43
5.1郵件流智慧化之系統架構與要素 43
5.2郵件流智慧化大數據資料分析系統基礎設施之設計規劃 47
5.3通用資料分析系統之應用 53
5.4進階資料分析系統之應用 69
5.5 C公司郵件流資料分析團隊組織規劃 90
5.6資料分析系統導入與應用之延伸性理論 96
第六章 結論與建議 99
6.1 研究結果 99
6.2 研究貢獻 100
6.3 研究限制 100
6.4 未來研究建議 101
參考文獻 102


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