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題名 產業園區智慧化評估與發展策略之研究-以編定工業區為例
A study on evaluation framework and strategies of smart industrial park作者 林巧芳
Lin, Chiao-Fang貢獻者 白仁德
Pai, Jen-Te
林巧芳
Lin, Chiao-Fang關鍵詞 產業園區
智慧化
智慧城市
模糊德爾菲法
模糊層級分析法
層級迴歸分析
Industrial park
Smart industrial park
Smart city日期 2018 上傳時間 3-七月-2018 17:33:23 (UTC+8) 摘要 傳統產業園區僅為提供廠商聚集之處而設立,當內在需求與外在環境改變,產業園區面臨發展瓶頸,各國紛紛將產業園區導入智慧化概念之新一代資通訊技術來提升產業園區的服務營運效率,許多國家更設計評估架構,作為產業園區智慧化發展的依循,而園區的智慧化發展更與城鄉智慧化相互影響,形成資源、技術與人才流通的雙向互動連結。針對產業園區智慧化的概念,我國尚未有較深入之研究及評估架構可供參考,本研究則以兩階段專家問卷的調查,建立我國產業園區智慧化的評估架構,分為:「智慧營運管理」、「智慧訊息資源」與「智慧基礎設施」三大面向,並向下衍伸21項指標項目,以該評估架構對我國經濟部工業局設立之62處編定工業區進行調查,掌握各園區智慧化的發展程度與薄弱之處;同時,以階層迴歸模型分析我國產業園區智慧化的程度與外在環境的關聯性,以瞭解我國產業園區智慧化與智慧城鄉的互動程度。首先,問卷結果顯示,評估架構中以智慧訊息資源之面向最為重要,其次為智慧基礎設施、智慧營運管理,而權重值最高的指標項目為「智慧化產業園區推動組織與計畫」;其次,評估結果中,高於整體平均分數0.280分的產業園區主要集中在南區,以臺南科技園區的0.746分為最高分;最後,階層迴歸模型中,本研究以「園區本身條件」、「園區所在城鄉環境特性」、「園區所在城鄉智慧化發展程度」三個階層為自變數選取的依據,模型分析結果顯示,我國城鄉智慧化的程度與園區智慧化的發展程度關聯性較其他兩階層顯著,然而整體來說,三個階層模型解釋力偏低,即,目前我國產業園區智慧化的發展程度與園區內部組織推動力有較大的關聯。縱整上述分析結果後,研提適性適地之產業園區智慧化發展策略。
Traditional industrial parks were only set up to assemble manufacturers. When internal and external environments changed, industrial parks were faced with bottlenecks. Countries had introduced the concepts of “Smart”, information and communication technology, into industrial park in order to improve operation efficiency in industrial parks. Further, many countries had designed evaluation frameworks as a reference. In addition, the development of smart industrial park would interact with smart city and form a two-way interactive link between resources, technology, and talent circulation.Related to the concept of smart industrial parks, Taiwan has not yet provided a deeper research and evaluation framework for reference. In this study, using expert questionnaires to established an evaluation framework for Taiwan`s smart industrial parks. The framework was divided into three major aspects: “smart operation management”, “smart information and resources” and “smart infrastructure”, and it extends downwards to 21 evaluation indicators. With this evaluation framework, 62 industrial parks set up by Industrial Development Bureau, Ministry of Economic Affairs were investigated to grasp the level of smart development and weaknesses; at the same time, using a hierarchical regression model to analyze the relevance between Taiwan’s smart industrial parks and the external environment in order to understand the degree of interaction between Taiwan`s smart industrial parks and smart city.First, the results of the questionnaire showed that the most important aspect of the evaluation framework was mart information and resources, and followed by smart infrastructure, smart operation management. The detailed evaluation indicators for the highest weight value are “smart industrial park promotion organizations and projects”; secondly, according to the evaluation results, the smart industrial parks with a score higher than the overall average score of 0.280 were mainly concentrated in the southern district. Among them, the highest score was 0.746 in the Tainan Technology Industrial Park; finally, in the hierarchical regression model, this study used three levels: “the conditions of the park itself” and “environmental characteristics of the city where the park was located” and “the development degree of smart city where the park was located”. Model analysis results showed that the development degree of smart city had a greater influence on smart industrial park than the other two levels. However, the explanatory power of the three hierarchical models is low, that is, the current development degree of smart industrial park in Taiwan had a greater correlation with the internal organizational driving force.參考文獻 「工業4.0時代——智慧工廠的九大技術走向」,『智慧工廠』,2016,1:35-36。丁育群,2010,「智慧生活美好台北-由智慧居住空間到智慧城市」,『建築+裝修』,2:5-13。尹啟銘,1997,「智慧型工業園區之發展目標與推動現況研討會」,『工業區開發管理通報』,5:15-20。王秋原,2008,「臺北市內湖科技園區發展對都市結構變遷之影響」,中國文化大學的學研究所碩士論文。王蓓,2014,「烏魯木齊高新區(新市區)智慧園區試點建設框架初顯」,『中國科技產業』,7:62-63。王龍飛、黃海岸,2015,「智慧園區整體規劃諮詢探討」,『移動通信』,39(19)。朱敏、楊會華,2013,「智慧園區解決方案探討及建議」,『移動通信』,5:56-58。行政院科技會報辦公室,2011,智慧城市導入參考手冊,行政院。吳君,2015,「關於智慧園區建設的幾點思考」,『中國集體經濟』,34:141-142。吳肇銘,2012,「新北市政府推動智慧城市與市政創新之作為」,『研考雙月刊』,36(5):149-157。呂佑龍、張洁,2016,「基於大數據的智慧工廠技術框架」,『計算機集成製造系統』,22(11):2691-2697。宋明秀,2017,「智慧城市實證場域選址之多準則評估應用」,國立臺灣大學工學院建築與城鄉研究所碩士論文。宋剛、鄔倫,2012,「創新視野下的智慧城市」,『城市发展研究』,19(9):1。李嘉華,2012,「從『歐洲智慧城市』計畫談我國智慧城市之發展方向-以台北市為例」,『臺灣經濟研究月刊』,35(2):109-115。李漢崇,2010,「臺灣都市計畫工業區再生機制之研究-以臺北縣為例」,國立政治大學地政研究所碩士論文。杜勝海,2014,「太極“智慧園區”解決方案」,『中國計算機報』,24:1-3。周碩彥、Anindhita Dewabharata,2016,「智慧工廠簡介」,『科儀新知』,208:5-15。林士蕙、林玲瑩,2017,「《遠見》第三屆智慧城市大調查」,『遠見雜誌』,369。林建元,1992,工業區整體開發之研究,臺北。林倖妃、余佩樺,2016,「智慧城市 下一波台灣競爭力」,『天下雜誌』,608。林峰田,2002,「數位資訊的市民城市」,『建築師』,28(9): 3。林滋賢,2012,「各國智慧城市發展經驗之研究-ICF案例分析」,中華大學建築與都市計畫學系碩士論文。孫萬松、張明玉、鄔文兵,2004,「論園區的信息管理創新」,『中國軟科學』,11:114-117。徐聯恩、康碩夫,1998,「全球智慧型工業園區概況與分析」,『經濟情勢暨評論』,4(2)。馬梅彥,2016,「我國智慧園區研究綜述」,『電腦知識與技術』,12(33):174-176。國家發展委員會,2016,『臺灣經濟發展歷程與策略』,臺北: 國家發展委員會。國家發展委員會,2016,亞洲·矽谷推動方案,國家發展委員會。張永民,2011,「『智慧城市』高於『數字城市』」,『中國信息界』,192:12-17。張擎,2011,「智慧園區:源於數字化 高於數字化」,『中國高新區』,9:128-129。許愛萍,2017,「打造智慧園區 加速天津智慧城市建設」,『環渤海經濟瞭望』,5:23-25。陳志強,2010,「工業區推動產學合作關鍵成功因素之研究」,中華大學建築與都市計畫學系碩士論文。陳仲篪,2011,「探討埔里智慧小鎮推動策略之研究」,中華大學建築與都市計畫學系碩士論文。陳希,2015,「產業園區的智慧化轉型及評價」,『特區實踐與理論』,2:69-72。黃冠華,2015,「智慧城市下都市推動策略與評估架構之研究初探」,『政策與人力管理』,7(1):1-29。黃超群,2016,「三層次創建“智慧園區”」,『浙江經濟』,17:43。黃劍虹,2008,台灣工業區再發展策略之研究,行政院經濟建設委員會。經濟部工業局,2003,工業區開發管理年報,經濟部工業局。經濟部工業局,2011,經濟部2020產業發展策略,經濟部工業局。甄峰、秦蕭,2014,「智慧城市頂層設計總體框架研究」,『現代城市研究』,10:7。劉昊,2013,「智慧園區建設應注重頂層設計」,『中國信息化周報』,14:1-3。劉鴻雁,2016,「建設智慧園區 助推傳統園區升級」,『經濟研究導刊』,285(4):113-114。鄭泰昇,2002,「資訊建築-實質與虛擬的整合設計」,『建築師雜誌』,331。鄭泰昇,2006,「資訊建築-實質與虛擬的整合設計」,『建築師雜誌』,331。鄭滄濱,2001,「軟體組織提昇人員能力之成熟度模糊評估模式」,國立臺灣科技大學資訊管理系碩士論文。魯璐,2017,「智慧園區評價體系構建-基於CMM和COBIT框架」,『西南師範大學學報(自然科學版)』,42(3):128-135。賴宗裕、李家儂,2003,「全球化下重塑中心商業區空間機能之探討」,『臺灣土地金融季刊』,40(3):17。謝一鋒,2007,「從產權結構論編定工業區開發制度」,國立政治大學地政研究所碩士論文。謝俊,2016,「信息化視角下的智慧園區運營管理系統構建和模式研究」,華東理工大學工商管理碩士論文。魏傳虔,2015,工業4.0智慧工廠未來發展趨勢與商機,財團法人資訊工業策進會。Bollier, D., 1998, How Smart Growth Can Stop Sprawl: a Fledgling Citizen Movement Expands, Washington, D.C.: Essential Books.Caldwell, R., 2002, “a city of ‘smart growth’ ,” The Masthead, 54(2): 29.Caragliu, A., Del Bo, C., and Nijkamp, P., 2009, “Smart cities in Europe,” Paper presented at the 3rd Central European Conference in Regional Science, Slovakia, 7-9 October.Castells, M. and Hall, P., 1994, Technopoles of the World: The Making of Twenty-First-Century Industrial Complexes, London: Routledge.Droege, P., 1997, Intelligent Environments - Spatial Aspect of the Information Revolution, New York: North Holland.Qian, F., Zhong, W.M., and Du, W.L., 2017, “Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry,” Engineering, 3: 154-160.Giffinger, R,. 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B., 2016, “Development of Innovative Strategies for the Korean Manufacturing Industry by Use of the Connected Smart Factory(CSF),” Procedia Computer Science, 91: 744-750. 描述 碩士
國立政治大學
地政學系
105257012資料來源 http://thesis.lib.nccu.edu.tw/record/#G0105257012 資料類型 thesis dc.contributor.advisor 白仁德 zh_TW dc.contributor.advisor Pai, Jen-Te en_US dc.contributor.author (作者) 林巧芳 zh_TW dc.contributor.author (作者) Lin, Chiao-Fang en_US dc.creator (作者) 林巧芳 zh_TW dc.creator (作者) Lin, Chiao-Fang en_US dc.date (日期) 2018 en_US dc.date.accessioned 3-七月-2018 17:33:23 (UTC+8) - dc.date.available 3-七月-2018 17:33:23 (UTC+8) - dc.date.issued (上傳時間) 3-七月-2018 17:33:23 (UTC+8) - dc.identifier (其他 識別碼) G0105257012 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/118281 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 地政學系 zh_TW dc.description (描述) 105257012 zh_TW dc.description.abstract (摘要) 傳統產業園區僅為提供廠商聚集之處而設立,當內在需求與外在環境改變,產業園區面臨發展瓶頸,各國紛紛將產業園區導入智慧化概念之新一代資通訊技術來提升產業園區的服務營運效率,許多國家更設計評估架構,作為產業園區智慧化發展的依循,而園區的智慧化發展更與城鄉智慧化相互影響,形成資源、技術與人才流通的雙向互動連結。針對產業園區智慧化的概念,我國尚未有較深入之研究及評估架構可供參考,本研究則以兩階段專家問卷的調查,建立我國產業園區智慧化的評估架構,分為:「智慧營運管理」、「智慧訊息資源」與「智慧基礎設施」三大面向,並向下衍伸21項指標項目,以該評估架構對我國經濟部工業局設立之62處編定工業區進行調查,掌握各園區智慧化的發展程度與薄弱之處;同時,以階層迴歸模型分析我國產業園區智慧化的程度與外在環境的關聯性,以瞭解我國產業園區智慧化與智慧城鄉的互動程度。首先,問卷結果顯示,評估架構中以智慧訊息資源之面向最為重要,其次為智慧基礎設施、智慧營運管理,而權重值最高的指標項目為「智慧化產業園區推動組織與計畫」;其次,評估結果中,高於整體平均分數0.280分的產業園區主要集中在南區,以臺南科技園區的0.746分為最高分;最後,階層迴歸模型中,本研究以「園區本身條件」、「園區所在城鄉環境特性」、「園區所在城鄉智慧化發展程度」三個階層為自變數選取的依據,模型分析結果顯示,我國城鄉智慧化的程度與園區智慧化的發展程度關聯性較其他兩階層顯著,然而整體來說,三個階層模型解釋力偏低,即,目前我國產業園區智慧化的發展程度與園區內部組織推動力有較大的關聯。縱整上述分析結果後,研提適性適地之產業園區智慧化發展策略。 zh_TW dc.description.abstract (摘要) Traditional industrial parks were only set up to assemble manufacturers. When internal and external environments changed, industrial parks were faced with bottlenecks. Countries had introduced the concepts of “Smart”, information and communication technology, into industrial park in order to improve operation efficiency in industrial parks. Further, many countries had designed evaluation frameworks as a reference. In addition, the development of smart industrial park would interact with smart city and form a two-way interactive link between resources, technology, and talent circulation.Related to the concept of smart industrial parks, Taiwan has not yet provided a deeper research and evaluation framework for reference. In this study, using expert questionnaires to established an evaluation framework for Taiwan`s smart industrial parks. The framework was divided into three major aspects: “smart operation management”, “smart information and resources” and “smart infrastructure”, and it extends downwards to 21 evaluation indicators. With this evaluation framework, 62 industrial parks set up by Industrial Development Bureau, Ministry of Economic Affairs were investigated to grasp the level of smart development and weaknesses; at the same time, using a hierarchical regression model to analyze the relevance between Taiwan’s smart industrial parks and the external environment in order to understand the degree of interaction between Taiwan`s smart industrial parks and smart city.First, the results of the questionnaire showed that the most important aspect of the evaluation framework was mart information and resources, and followed by smart infrastructure, smart operation management. The detailed evaluation indicators for the highest weight value are “smart industrial park promotion organizations and projects”; secondly, according to the evaluation results, the smart industrial parks with a score higher than the overall average score of 0.280 were mainly concentrated in the southern district. Among them, the highest score was 0.746 in the Tainan Technology Industrial Park; finally, in the hierarchical regression model, this study used three levels: “the conditions of the park itself” and “environmental characteristics of the city where the park was located” and “the development degree of smart city where the park was located”. Model analysis results showed that the development degree of smart city had a greater influence on smart industrial park than the other two levels. However, the explanatory power of the three hierarchical models is low, that is, the current development degree of smart industrial park in Taiwan had a greater correlation with the internal organizational driving force. en_US dc.description.tableofcontents 第一章 緒論 1-1第一節 研究動機與目的 1-1第二節 研究範圍與對象 1-3第三節 研究方法 1-5第四節 研究內容與流程 1-7第二章 文獻回顧與理論基礎 2-1第一節 智慧化相關文獻與理論基礎 2-1第二節 產業園區發展相關文獻回顧 2-7第三節 產業園區智慧化相關評估架構回顧 2-14第四節 小結 2-21第三章 研究設計 3-1第一節 研究架構 3-1第二節 問卷設計 3-5第三節 問卷結果 3-15第四章 產業園區智慧化評估與發展策略研擬 4-1第一節 產業園區智慧化評估 4-1第二節 各產業園區智慧化程度之分類 4-7第三節 產業園區智慧化與智慧城鄉關係分析 4-11第四節 產業園區智慧化發展策略 4-18第五章 結論與建議 5-1第一節 結論 5-1第二節 研究建議 5-4參考文獻 參-1附錄 附-1 zh_TW dc.format.extent 5193483 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0105257012 en_US dc.subject (關鍵詞) 產業園區 zh_TW dc.subject (關鍵詞) 智慧化 zh_TW dc.subject (關鍵詞) 智慧城市 zh_TW dc.subject (關鍵詞) 模糊德爾菲法 zh_TW dc.subject (關鍵詞) 模糊層級分析法 zh_TW dc.subject (關鍵詞) 層級迴歸分析 zh_TW dc.subject (關鍵詞) Industrial park en_US dc.subject (關鍵詞) Smart industrial park en_US dc.subject (關鍵詞) Smart city en_US dc.title (題名) 產業園區智慧化評估與發展策略之研究-以編定工業區為例 zh_TW dc.title (題名) A study on evaluation framework and strategies of smart industrial park en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 「工業4.0時代——智慧工廠的九大技術走向」,『智慧工廠』,2016,1:35-36。丁育群,2010,「智慧生活美好台北-由智慧居住空間到智慧城市」,『建築+裝修』,2:5-13。尹啟銘,1997,「智慧型工業園區之發展目標與推動現況研討會」,『工業區開發管理通報』,5:15-20。王秋原,2008,「臺北市內湖科技園區發展對都市結構變遷之影響」,中國文化大學的學研究所碩士論文。王蓓,2014,「烏魯木齊高新區(新市區)智慧園區試點建設框架初顯」,『中國科技產業』,7:62-63。王龍飛、黃海岸,2015,「智慧園區整體規劃諮詢探討」,『移動通信』,39(19)。朱敏、楊會華,2013,「智慧園區解決方案探討及建議」,『移動通信』,5:56-58。行政院科技會報辦公室,2011,智慧城市導入參考手冊,行政院。吳君,2015,「關於智慧園區建設的幾點思考」,『中國集體經濟』,34:141-142。吳肇銘,2012,「新北市政府推動智慧城市與市政創新之作為」,『研考雙月刊』,36(5):149-157。呂佑龍、張洁,2016,「基於大數據的智慧工廠技術框架」,『計算機集成製造系統』,22(11):2691-2697。宋明秀,2017,「智慧城市實證場域選址之多準則評估應用」,國立臺灣大學工學院建築與城鄉研究所碩士論文。宋剛、鄔倫,2012,「創新視野下的智慧城市」,『城市发展研究』,19(9):1。李嘉華,2012,「從『歐洲智慧城市』計畫談我國智慧城市之發展方向-以台北市為例」,『臺灣經濟研究月刊』,35(2):109-115。李漢崇,2010,「臺灣都市計畫工業區再生機制之研究-以臺北縣為例」,國立政治大學地政研究所碩士論文。杜勝海,2014,「太極“智慧園區”解決方案」,『中國計算機報』,24:1-3。周碩彥、Anindhita Dewabharata,2016,「智慧工廠簡介」,『科儀新知』,208:5-15。林士蕙、林玲瑩,2017,「《遠見》第三屆智慧城市大調查」,『遠見雜誌』,369。林建元,1992,工業區整體開發之研究,臺北。林倖妃、余佩樺,2016,「智慧城市 下一波台灣競爭力」,『天下雜誌』,608。林峰田,2002,「數位資訊的市民城市」,『建築師』,28(9): 3。林滋賢,2012,「各國智慧城市發展經驗之研究-ICF案例分析」,中華大學建築與都市計畫學系碩士論文。孫萬松、張明玉、鄔文兵,2004,「論園區的信息管理創新」,『中國軟科學』,11:114-117。徐聯恩、康碩夫,1998,「全球智慧型工業園區概況與分析」,『經濟情勢暨評論』,4(2)。馬梅彥,2016,「我國智慧園區研究綜述」,『電腦知識與技術』,12(33):174-176。國家發展委員會,2016,『臺灣經濟發展歷程與策略』,臺北: 國家發展委員會。國家發展委員會,2016,亞洲·矽谷推動方案,國家發展委員會。張永民,2011,「『智慧城市』高於『數字城市』」,『中國信息界』,192:12-17。張擎,2011,「智慧園區:源於數字化 高於數字化」,『中國高新區』,9:128-129。許愛萍,2017,「打造智慧園區 加速天津智慧城市建設」,『環渤海經濟瞭望』,5:23-25。陳志強,2010,「工業區推動產學合作關鍵成功因素之研究」,中華大學建築與都市計畫學系碩士論文。陳仲篪,2011,「探討埔里智慧小鎮推動策略之研究」,中華大學建築與都市計畫學系碩士論文。陳希,2015,「產業園區的智慧化轉型及評價」,『特區實踐與理論』,2:69-72。黃冠華,2015,「智慧城市下都市推動策略與評估架構之研究初探」,『政策與人力管理』,7(1):1-29。黃超群,2016,「三層次創建“智慧園區”」,『浙江經濟』,17:43。黃劍虹,2008,台灣工業區再發展策略之研究,行政院經濟建設委員會。經濟部工業局,2003,工業區開發管理年報,經濟部工業局。經濟部工業局,2011,經濟部2020產業發展策略,經濟部工業局。甄峰、秦蕭,2014,「智慧城市頂層設計總體框架研究」,『現代城市研究』,10:7。劉昊,2013,「智慧園區建設應注重頂層設計」,『中國信息化周報』,14:1-3。劉鴻雁,2016,「建設智慧園區 助推傳統園區升級」,『經濟研究導刊』,285(4):113-114。鄭泰昇,2002,「資訊建築-實質與虛擬的整合設計」,『建築師雜誌』,331。鄭泰昇,2006,「資訊建築-實質與虛擬的整合設計」,『建築師雜誌』,331。鄭滄濱,2001,「軟體組織提昇人員能力之成熟度模糊評估模式」,國立臺灣科技大學資訊管理系碩士論文。魯璐,2017,「智慧園區評價體系構建-基於CMM和COBIT框架」,『西南師範大學學報(自然科學版)』,42(3):128-135。賴宗裕、李家儂,2003,「全球化下重塑中心商業區空間機能之探討」,『臺灣土地金融季刊』,40(3):17。謝一鋒,2007,「從產權結構論編定工業區開發制度」,國立政治大學地政研究所碩士論文。謝俊,2016,「信息化視角下的智慧園區運營管理系統構建和模式研究」,華東理工大學工商管理碩士論文。魏傳虔,2015,工業4.0智慧工廠未來發展趨勢與商機,財團法人資訊工業策進會。Bollier, D., 1998, How Smart Growth Can Stop Sprawl: a Fledgling Citizen Movement Expands, Washington, D.C.: Essential Books.Caldwell, R., 2002, “a city of ‘smart growth’ ,” The Masthead, 54(2): 29.Caragliu, A., Del Bo, C., and Nijkamp, P., 2009, “Smart cities in Europe,” Paper presented at the 3rd Central European Conference in Regional Science, Slovakia, 7-9 October.Castells, M. and Hall, P., 1994, Technopoles of the World: The Making of Twenty-First-Century Industrial Complexes, London: Routledge.Droege, P., 1997, Intelligent Environments - Spatial Aspect of the Information Revolution, New York: North Holland.Qian, F., Zhong, W.M., and Du, W.L., 2017, “Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry,” Engineering, 3: 154-160.Giffinger, R,. 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