dc.contributor.advisor | 李文福 | zh_TW |
dc.contributor.author (Authors) | 陳宥翔 | zh_TW |
dc.creator (作者) | 陳宥翔 | zh_TW |
dc.date (日期) | 2008 | en_US |
dc.date.accessioned | 19-Sep-2009 13:40:28 (UTC+8) | - |
dc.date.available | 19-Sep-2009 13:40:28 (UTC+8) | - |
dc.date.issued (上傳時間) | 19-Sep-2009 13:40:28 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0095258033 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/37410 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 經濟研究所 | zh_TW |
dc.description (描述) | 95258033 | zh_TW |
dc.description (描述) | 97 | zh_TW |
dc.description.abstract (摘要) | 工具機不僅在機械產業占有一席之地,在製造業更是扮演舉足輕重的角色,生活周遭所使用的物品,許多都是由工具機所製造。工具機產業的核心技術,仰賴資深員工的經驗傳承,因此教育訓練是工具機廠商營運的流程中重要的一環。傳統DEA 要求所有的投入、產出資料必須為量化的數據,然而現實生活中有很多重要的變數難以量化,Likert 量表發明後,學者們大量使用Likert 量表量化這些變數,但是Likert 量表尺度的公平性是許多學者質疑的重點。模糊DEA 透過模糊理論,改善Likert 量表尺度公平性的問題,因此本研究使用模糊DEA 進行工具機廠商教育訓練績效的分析,並比較Likert 量表尺度下的DEA 與模糊DEA 實證結果的不同,研究對象為民國96 年的台灣地區85 間工具機廠商。 幾項重要的實證分析結果如下:1. 整體技術效率差者,多為訓練積極的廠商。2. 部分規模效率差的廠商,純技術效率表現尚在中等水平,表示這些廠商只是因為訓練較為積極,使得投入在生產規模遞減的水準。3. 工具機產業的教育訓練普遍有浪費的現象,顯示只要投入少許資源即可達到相當的成效,若要突破某個瓶頸,就要增加相當多的資源。4. 整體而言使用Likert 量表尺度或是模糊DEA 的結果沒有顯著差異,但是對於效率較佳的廠商來說,模糊DEA 具有較高的鑑別力。 | zh_TW |
dc.description.abstract (摘要) | The machine tool plays an important role in not only machinery industry but alsothe whole manufacturing industry. Most of goods around us are made by the machinetool. The core technologies hold by experienced employees depends on training topass down. Therefore, training is an essential process in machine tool factories. Intraditional DEA, all inputs and outputs need to be numeric data. But in reality, thereare many key variables are hard to be measured in numeric. After Likert scale beinginvented, the scholars widely use the scale to evaluate these key variables. However,there is criticism of the equity in Likert scale. Fuzzy DEA corrects this disadvantageof Likert scale with fuzzy theory. As a result, this study evaluates the trainingefficiency of 85 Taiwanese machine tool manufacturers in 2007 with fuzzy DEA andcomparers the result between fuzzy DEA and the method of Likert scale. Some important conclusions are shown as follow:1. Most of the inefficient DMUs are active about training.2. Although some DMUs are bad in scale efficiency, they are fair in pure technicalefficiency. It explains that these DMUs just input at decrease return to scale(DRTS) level.3. Generally, there is waste of training in this industry. The empirical result tells usthey can obtain certain effects with little input. If they want to break through somebottle neck of training effects, they have to input tremendous resources.4. As a whole, there is no difference between the result of fuzzy DEA and themethod of Likert scale. However, there is better discrimination of efficient DMUsin fuzzy DEA. | en_US |
dc.description.tableofcontents | 第一章緒論……………………………………………………… 1 第一節:研究背景…………………………………………1 第二節:研究動機…………………………………………6 第三節:研究範圍…………………………………………6第二章文獻回顧…………………………………………………8 第一節:教育訓練成果評估架構…………………………8 第二節:教育訓練成果評估指標…………………………12第三章研究方法……………………………………………… 20 第一節:生產理論…………………………………………20 第二節:傳統資料包絡分析法……………………………21 第三節:模糊資料包絡分析法……………………………24 第四節:實證分析架構……………………………………28第四章實證分析……………………………………………… 33 第一節:廠商教育訓練概況………………………………33 第二節:模糊資料包絡分析研究…………………………43 第三節:模糊數與精確數於資料包絡分析之比較………55第五章結論與建議…………………………………………… 60 第一節:實證結論…………………………………………60 第二節:研究改善建議……………………………………64參考文獻……………………………………………………………… 66附錄…………………………………………………………………… 69附件一:研究問卷…………………………………………………… 74附件二:α水準為0、0.3、0.7、1 時之模糊整體技術效率值……78附件三:α水準為0、0.3、0.7、1 時之模糊純技術效率值………81附件四:α水準為0、0.3、0.7、1 時之模糊規模效率值…………84附件五:廠商代號對照表……………………………………………87附件六:各廠商總差額與射線、非射線差額表……………………95 | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0095258033 | en_US |
dc.subject (關鍵詞) | 工具機 | zh_TW |
dc.subject (關鍵詞) | 教育訓練 | zh_TW |
dc.subject (關鍵詞) | 模糊DEA | zh_TW |
dc.subject (關鍵詞) | machine tool | en_US |
dc.subject (關鍵詞) | training | en_US |
dc.subject (關鍵詞) | fuzzy DEA | en_US |
dc.title (題名) | 台灣工具機廠商教育訓練績效分析-模糊資料包絡分析法之應用 | zh_TW |
dc.type (資料類型) | thesis | en |
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