系統識別號 | U0002-3006200913363700 |
---|---|
DOI | 10.6846/TKU.2009.01121 |
論文名稱(中文) | 採用本體論及推論於物流領域之研究-以EPC規範為基礎 |
論文名稱(英文) | Adopting Ontology and Reasoning on Logistic – based on EPC Standard |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 資訊管理學系碩士班 |
系所名稱(英文) | Department of Information Management |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 97 |
學期 | 2 |
出版年 | 98 |
研究生(中文) | 許婉玉 |
研究生(英文) | Wan-Yu Hsu |
學號 | 696630119 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2009-06-07 |
論文頁數 | 61頁 |
口試委員 |
指導教授
-
劉艾華
委員 - 趙涵捷 委員 - 黃承龍 委員 - 侯永昌 |
關鍵字(中) |
本體論 Jess 自動推論 Logistics EPC |
關鍵字(英) |
Ontology Jess Automated Reasoning Logistic EPC |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
隨著資訊科技的進步,RFID產業更是蓬勃發展,其應用於物流作業之比率也日益提升,WalMart、Metro、Tesco等國際性零售商更率先導入RFID技術,並以EPC (Electronic Product Code) 編碼做為物流作業中棧板與物流箱之識別碼以輔助於物流作業中資訊之整合性,但伴隨著企業組織規模日益增加,物流中複雜與繁複的作業,可能使企業因人為疏忽而造成莫大的損失。因而本研究欲以EPC 標準應用於物流領域為對象,透過建立其本體論以達成語意間資訊整合之目的,針對物流領域中不易察覺或是領域專家所提出之問題,採用專家系統發展語言Jess (Java Expert System Shell)撰寫規則,讓機器能理解資料之涵義進而進行推論,以檢視物流作業中可能因作業上之疏忽而導致資料錯誤之情形,減少企業因資料錯誤而所投入檢查作業的時間、人力與成本,進而提升物流整體之效率。 |
英文摘要 |
After fast development, RFID technology is now being widely adopted, especially in logistic. International retailers, such as WalMart, Metro and Tesco, lead in adopting RFID technology and commonly employ EPC (Electronic Product Code) as the identifier of objects such as logistic pallets and containers to assist in integrating the information produced by logistic operations. However, the complicated logistic procedure can still embed hidden errors caused by operational overlook or human negligence. Specifically handling these unusual errors requires extra efforts that may cause major financial losses. This research presents the architecture of a logistic reasoning framework that applied the EPC global standard in the logistic domain. The architecture is supported by a logistic ontology which combines semantic information integrated by Protégé with logistic rules developed by Jess, an expert system development programming language. This implementation can be installed in logistic systems capable of reasoning while understanding the meaning of logistic operation data. It is anticipated that this approach should enhance the efficiency of the whole logistic operation and the time and cost of discovering potential problems can be reduced. |
第三語言摘要 | |
論文目次 |
目錄 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究問題與目的 2 1.3 研究架構 2 第二章 文獻探討 5 2.1 本體論(Ontology) 5 2.1.1 本體論概述 5 2.1.2 本體論組成要素 6 2.2 Jess (Java Expert System Shell) 6 2.3 EPC (Electronic Product Code) 7 2.3.1 EPC規格結構 8 2.4 物流(Logistic)概述 10 第三章 研究架構 19 3.1 建置本體論 20 3.1.1 建立本體論類別 20 3.1.2 建立類別屬性及關聯 21 3.1.3 建立實例與Concept Mapping 24 第四章 Jess推論引擎與物流規則 28 4.1 Jess語言 29 4.2 整合Jess與Protégé 30 4.3 物流偵錯規則 33 4.3.1 規則介紹 34 第五章 實例探討 38 5.1 物流存在問題 38 5.2 物流情境套用規則 39 第六章 結論與未來研究方向 48 6.1 結論與研究貢獻 48 6.2 未來研究方向 49 參考文獻 50 附錄一、Protégé架構圖 52 附錄二、規則執行畫面 53 圖目錄 圖 1-1:研究流程 4 圖 2-1:規則引擎架構 7 圖 2-2:EPCIS Specification Framework Layers 8 圖 2-3:Event Types display by UML diagram 10 圖 2-4:Work Unit Class 13 圖 2-5:Event Class 15 圖 3-1:系統架構圖 19 圖 3-2:Protégé實作類別架構圖 21 圖 3-3:Concept Mapping概要 25 圖 3-4:Example of observation concept mapping 26 圖 3-5:Example of aggregation concept mapping 27 圖 4-1:Jess Function語法 29 圖 4-2:Example of Jess Function 30 圖 4-3:Jess Rule語法 30 圖 4-4:Example of Jess Rule 30 圖 4-5:A Jess console window as a Protégé tab 31 圖 4-6:Jess Fact 32 圖 4-7:Jess Rules 33 圖 4-8:Jess Functions 33 圖 5-1:物流instance 39 圖 5-2:ReasonCondition類別(規則三) 43 表目錄 表 2-1:EPCIS Event Description 9 表 2-2:Work Unit Class屬性 13 表 2-3:Event Class欄位內相關之Class結構 14 表 2-4:Event Class屬性 15 表 2-5:Temporal Relation of Events 16 表 2-6:物件於物流中之狀態 17 表 2-7:Logistics Class屬性 17 表 3-1:非EPC導向類別新增屬性 23 表 3-2:EPC導向類別新增屬性 24 表 5-1:Product相關資料 40 表 5-2:物流箱相關資料 41 表 5-3:ReasonCondition預設值與其階層關聯 42 表 5-4:ReasonCondition類別表(規則三) 43 表 5-5:物流相關資料 43 表 5-6:ReasonCondition類別表(規則四) 44 表 5-7:ReasonCondition類別表(規則五) 45 表 5-8:ReasonCondition類別表(規則六) 45 表 5-9:Example of valid temperature 46 |
參考文獻 |
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