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研究生:張耕齊
研究生(外文):Chang, Keng Chi
論文名稱:以目標為基礎之資料處理方法建議模式
論文名稱(外文):Objective-Oriented Suggestion for Data Analysis Approaches
指導教授:侯建良侯建良引用關係
指導教授(外文):Hou, Jiang Liang
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:350
中文關鍵詞:方法建議相關性推論模擬退火法
外文關鍵詞:Decision MakingLikelihoodSimulated Annealing
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當一企業管理者因特定營運目標而需瞭解營運活動相關之狀況時,其往往針對該狀況整理、檢視所擁有之相關資料,再向專家諮詢相關資料之適切處理方法;之後,專家即因應管理者的諮詢回饋其適切之資料處理方法、以及應補充之相關資料或應注意之事項與相對應之因應原則;最後,管理者即可評選資料處理方法,並藉由所選之方法處理資料,以取得對應之分析結果而滿足需求,進而達成企業營運目標。然而,管理者可能尋求非專業領域之專家、或甚至無法尋得相關專家,而無法獲得具代表性之資料處理方法建議;其次,當管理者選擇資料處理方法時,可能不瞭解如何評選符合其需求之方法,而無法獲得適當之資訊以滿足需求。
為解決上述問題,本研究首先解析現有資料分析相關文獻,並訂定企業營運問題之10項基本元素;之後,本研究乃根據解析結果提出一套「以目標為基礎之資料處理方法建議」模式,此模式包含「企業營運問題與改善個案資料結構化方法與關聯模式建構」、「企業營運問題解析與相關資料搜尋」、「資料處理方法與細節判定」、「資料分析方法評價與篩選」等階段。「企業營運問題與改善個案資料結構化方法與關聯模式建構」階段乃釐清目標企業營運問題所包含之企業營運問題基本元素的內容,並建構「企業營運問題與改善個案之關聯模式」,「企業營運問題解析與相關資料搜尋」階段乃利用目標營運問題之結構化結果與前一階段所建構之「企業營運問題與改善個案之關聯模式」搜尋與目標企業營運問題相關之改善個案資料。「資料處理方法與細節判定」階段乃自與目標企業營運問題相關之改善個案資料中擷取資料處理方法與其對應之相關係相資訊。最後,「資料分析方法評價與篩選」階段乃針對料處理方法進行評估與篩選,以將合適知資料處理方法建議提供予管理者參考。
未來,管理者即可透過本研究發展之建議方法有效地取得可達成其目標之資料處理方法與相關細節之建議、以及此些方法於達成目標與滿足限制、偏好之綜合評價,以利管理者有效地評選資料、分析資料,進而更瞭解企業營運活動相關之狀況而達成其所設定之目標。

In order to improve efficiency for suggestion of data analysis approaches, this research develops a problem-oriented model for suggestion of data analysis approaches. Firstly, this research analyzes the historical problems the applicable data analysis approaches and other information of the original solutions which are related to data analysis. Secondly, a model is developed for analyzing the solutions related to data analysis and transforms them into structured forms. After that, the proposed model can be applied for searching related data analysis solutions based on the problem characteristics. In order to distinguish the related and the unrelated solutions, this model evaluates the likelihood between those solutions by the linear combinations of the solution characteristics. Further, this model utilizes the simulated annealing algorithm to acquire the combinations which can distinguish the related and unrelated solutions. Finally, this model can suggest the data analysis approaches according to the approaches used in the related solutions used. As a whole, the proposed model can assist managers realizing data analysis approaches in an efficient and effective way.
摘要 I
ABSTRACT II
目錄 III
圖目錄 V
表目錄 VIII
第一章、研究背景 1
1.1 研究動機與研究目的 1
1.2 研究步驟 6
1.3 研究定位 9
第二章、文獻回顧 13
2.1問題特性分析 13
2.1.1依量化特質分析問題特性 13
2.1.2依質化特質分析問題特性 17
2.2資料分析方法評比 25
2.2.1依數值檢定方法評比資料分析方法 25
2.2.2依觀察結果評比資料分析方法 31
2.3以問題為基礎之資料分析方法評選 39
2.3.1針對醫療領域問題評比資料分析方法 39
2.3.2針對工程領域問題評比資料分析方法 44
2.3.3針對企業管理領域問題評比資料分析方法 50
2.4 小結 55
第三章、資料處理方法建議模式 57
3.1企業營運問題解析 58
3.2企業營運問題與個案資料之結構化方法與關聯模式建構 60
3.2.1「企業營運問題與改善個案資料結構化方法建構」子階段整體架構 61
3.2.2企業營運問題與改善個案資料關聯模式建構 77
3.3企業營運問題解析與問題相關資料搜尋 100
3.4資料分析方法與細節判定 106
3.5資料分析方法評價與篩選 112
3.6小結 119
第四章、系統規劃與架構 120
4.1系統核心架構 120
4.2系統功能架構 122
4.3資料模式定義 125
4.4系統功能操作流程 127
4.4.1系統功能操作流程 128
4.4.2系統資料傳遞流程 131
4.5系統開發工具 133
第五章、系統實作與驗證分析 135
5.1系統運作概況說明 135
5.2系統驗證方式說明 141
5.3系統驗證結果分析 145
第六章、結論與未來展望 160
6.1論文總結 160
6.2研究限制 163
6.3未來展望 164
參考文獻 166
附錄A、企業營運問題基本元素解析 173
附錄B、營運問題與個案資料基本元素解析前置作業 193
附錄C、系統功能說明 299
附錄D、模式與系統於第二階段各週期之績效驗證結果 313

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