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研究生:林培茵
研究生(外文):Pei-Yin Lin
論文名稱:綠色供應鏈風險管理之應用─以台灣主機板公司為例
論文名稱(外文):The Application of Risk Management for Green Supply Chain – A Study of Taiwan Motherboard Company
指導教授:陳銘崑陳銘崑引用關係
口試委員:張朝清吳忠敏
口試日期:2012-06-19
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:經營管理系碩士班
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:2012
畢業學年度:100
語文別:中文
論文頁數:117
中文關鍵詞:風險管理綠色供應鏈類神經網路德爾菲法
外文關鍵詞:Risk managementGreen supply chainArtificial Neural NetworkDelphi method
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近年來,環保議題在全球逐漸受到重視,世界先進國家也陸續制定相關法令予以規範,如電機電子產品限量使用有害物質(RoHS)、廢電機電子產品回收指令(WEEE),與能源相關產品(ErP),新化學品註冊、評估及授權機制(REACH),電子製造業紛紛投入綠色供應鏈的建置,希冀藉由完整的綠色供應鏈,使企業成為綠色產品的製造者,避免在未來講求環保的市場上失去商機,但若是不符合綠色規範,將衍生貨品退運、銷毀、罰款乃或判刑等處置。
由於綠色法令將會持續下去,相關法規也會不斷推陳出新,因此,本研究針對上述問題,認為企業在執行綠色計畫時,必須從整體經營的風險管控,來落實綠色計畫,其中應考量來自PLM系統上的設計資訊、GP系統的採購資訊、IQC的檢驗資訊、以及生產製造的資訊,並透過類神經網路(Fuzzy-ART)進行風險預測,使企業在面臨不斷推陳出新的綠色法規時,能有效控管綠色供應鏈之風險及如何不讓經營成本提高等策略面經營重點。本研究發現,高風險集群中,風險最高為貼片電容類(MLCC),其次為連接器類(Connector),緊接為積體電路類(IC)。


In recent years, the environmental issues have gradually been taken seriously in the whole world. The developed countries are starting to develop regulations, such as Restriction of the use of Hazardous Substance (RoHS), recycling of Waste Electrical and Electronic Equipment Directive (WEEE), Energy-related Products (ErP), Registration, Evaluation, and Authorization of Chemicals (REACH). The electronic manufacturing industry has invested in the construction of green supply chain, in order to become the main producers of green products through the complete green supply chain and also to avoid missing opportunities on the market emphasizing on environmental protection in the future. Those one who do not meet the green standards will cause the goods returned, destroyed, fined or imprisoned.

The relevant laws and regulations about green will continue weeding through the old to bring forth the new, therefore, this study suggests that enterprises should achieve the green plan from overall business risk management and control while implementing the green project. Moreover, considering the procurement of information from the design information on the PLM system, the GP system of IQC inspection information, as well as manufacturing information, and predicting the risk via the neural network (Fuzzy-ART) will all make enterprises effectively control the green supply chain risks and lower the operating costs while facing upgrading green laws. This study has primarily found that among all high-risk clusters, the highest risk one is MLCC, followed by the Connector, and the third one is IC.


摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 viii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 4
1.3 研究架構 5
1.4 研究範圍與限制 6
第二章 文獻探討 7
2.1 綠色供應鏈 7
2.1.1 綠色供應鏈之風險評估 12
2.2 風險管理 34
2.2.1風險定義 34
2.2.2風險管理架構 35
2.2.3風險預測 38
2.3 德爾菲法 41
2.4 類神經網路 42
2.4.1 群組技術 44
2.4.2 模糊自適應共振理論網路 46
第三章 研究方法 48
3.1研究流程與架構 48
3.2 主機板產業特性說明與問題描述 50
3.2.1 主機板產業特性說明 50
3.2.2 問題描述與定義 54
3.3 綠色供應鏈風險管理 56
3.3.1綠色供應鏈風險管理之模型架構 56
第四章 個案示範應用 72
4.1 個案公司作業流程與訪談 72
4.1.1 個案公司綠色產品作業流程 72
4.1.2 個案公司綠色風險因子取得 75
4.2 Fuzzy ART之個案實證分析 83
4.2.1 個案情境說明 83
4.2.2 系統功能說明 85
4.2.3 集群分析 86
第五章 結論與建議 99
5.1 研究結論 99
5.2 後續研究建議 99
參考文獻 101
附錄 112



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其它
[94] 融易網路股份有限公司,資訊產業RoHS SCM產品化擴散計畫,經濟部技術處,2009。
[95] 精英電腦股份有限公司,寰淨計畫-精英綠色競爭優勢品質風險管控計畫,經濟部技術處,2008。
[96] 旺旺友聯產物保險股份有限公司,因應歐盟環保規範RoHS保險計畫,經濟部技術處,2008。
[97] Lomax, P., “Getting Ready for RoHS X-ray fluorescence measurement instruments aid EU Directive compliance efforts,” Marketing Manager, Fischer Technology Inc, January, 2006.
[98] Epson Taiwan, 2005. http://www.epson.com.tw.


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