博碩士論文 103421066 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:61 、訪客IP:54.224.100.102
姓名 林凱強(Kai-Qiang Lin)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 在SAP-APO架構下發展一個考量碳足跡模式之供應鏈計劃方法
相關論文
★ 企業流程為核心的食品產業運籌體系規劃:低溫物流部份★ 以企業流程方法規劃整體飛航後勤維修體系之研究
★ 成衣產業導入ERP運籌管理方案之個案研究★ 光電產業試產基地之生產最佳化模式:以光投影機為例
★ TFT LCD產業獲利因素之探討★ 科技事業進行合併/讓售之決策過程與成效之個案探討
★ 企業治理、風險及遵循解決方案導入之個案研究-以職責分離資訊系統為例★ 品質機能展開與多準則決策於設備開發應用
★ ERP導入品質因素對IFRS轉換專案之影響★ ERP投資金額對服務品質及導入後IT治理目標之分析
★ ERP 導入問題對專案的影響★ IFRS轉換對員工退休金計畫影響
★ IFRS轉換問題對IFRS效益的影響★ 電子產業新產品開發參考模式之發展
★ 應用資料科學方法提昇國防裝備可靠度之研究-以防空系統為例★ 企業資訊方案行銷歷程之探討-以MES為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 由於環境破壞日漸的嚴重,環保議題屢屢被提出討論,也因此企業開始將環境保護的項目融入至供應鏈管理活動中,發展出綠色供應鏈,本研究考量在跨國多廠區、多配銷中心下,其中各廠區可能有不同生產上的限制,以及不同的生產碳排放量,並在顧客變動的需求下,針對產品上的需求、工廠上的能力與產能限制、不同生產工廠與使用不同運輸方式上的碳排放量差異,並使用數學模型規劃,來解決跨國多廠區、多配銷中心與多顧客間的生產與配銷計劃,其中兩點間可有多種運輸方式,目標在達到碳排放量的極小化。
在模型的求解部分,本研究提出一個適用於供應鏈計劃系統SAP-APO之啓發式演算法並以碳排放量最小為目標求解問題,其中根據作業研究之步驟進行問題定義、模型建立,並藉由數值驗證之方式計算出給定資料下的總碳排放量,最後以相同資料輸入至最佳化軟體Lingo求解並與前者做比較,以證明該啟發式演算法對於碳排放量最小的可行性。在比較後得知,由於最佳化軟體嘗試了所有組合,因此能找到比本研究方法更加之解答,也因此得到了不同的生產計劃方法,以及配送計劃方法,但經比較後可得知,總碳排放量的差距僅為2%,尚屬於可接受範圍,且可節省數倍的運算組合,因此該運算方法是可以在節省運算次數下,有效降低碳排放量之方法。
在未來研究方面,由於本研究專注於碳排放量之最小化,忽略了傳統供應鏈所在意的成本,因此未來可加入碳排放權的買賣並考量成本與碳排放間的權衡關係。
摘要(英) Environmental issues are often discussed because of the increasing environmental damage. So companies began to join the environmental protection′s work into supply chain management of activities, and develop green supply chain. In this study, consider multi-plant in the multinational, multi-distribution center, which the plant may have different production constraints, as well as different production of carbon emissions. In variable customer needs, focus on the product require, plant capacity and capacity constraints, differences in production plant and transportation and carbon emissions. Use mathematical model planning, to solve the production and distribution plans of multi-plant, multi-distribution centers and multi-customer. Between the two points can have a variety of modes of transport, to achieve the goal of minimizing carbon emissions.
In the solution section of the model, this study presents a heuristic algorithm for SAP-APO, which is a supply chain planning system, and aims at solving the problem of minimizing carbon emissions. According to the steps of operation research, the first problem definition, model establishment and then calculate the total carbon emissions under the given data. Finally, using the same data input to the optimization software-Lingo compared with the heuristic algorithm to prove that the heuristic algorithm for the minimum carbon emissions feasibility. After the comparison, it is known that, because the optimization software tries all the combinations so can find the better solution than the present research method. Therefore, we will get different production planning methods and distribution planning methods. But the comparison shows that the total carbon emissions gap is only 2%, is still acceptable range. And can save several times the calculation of the combination, so the calculation method can save the calculation of the number of effective way to reduce carbon emissions.
In future research, this study focuses on the minimization of carbon emissions, ignoring the traditional cost of the supply chain, so the future can be added to carbon emissions trading and consider the trade-off between cost and carbon emissions.
關鍵字(中) ★ 綠色供應鏈
★ SAP-APO
★ 啟發式演算法
關鍵字(英) ★ Green Supply Chain
★ SAP-APO
★ Heuristic algorithms
論文目次 摘要 i
ABSTRACT ii
目錄 iii
圖目錄 v
表目錄 vi
一、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究範圍 2
1.4 研究方法與步驟 2
二、文獻探討 5
2.1 供應鏈與綠色供應鏈 5
2.1.1 傳統供應鏈管理 5
2.1.2 綠色供應鏈管理 (Green supply chain management, GSCM) 6
2.2 碳足跡 (Carbon footprint) 介紹 8
2.2.1 碳足跡的定義 8
2.2.2 碳足跡相關標準 10
2.3 供應鏈計劃問題求解方法介紹 11
2.3.1 作業研究(Operations Research, OR) 11
2.3.2 限制理論(Theory of Constraint, TOC) 13
2.3.3 啟發式演算法(Heuristic algorithms) 14
2.4 SAP-APO介紹 15
2.4.1 供應鏈管理與SAP-APO 15
2.4.2 啓發式演算法與SAP-APO 17
三、解決方案之建立 18
3.1 問題陳述與處理架構 18
3.2 模型假設 18
3.3 營運決策模型 20
3.4 啟發式演算法 23
3.4.1 啟發式演算法建構邏輯 23
3.4.2 啟發式演算法流程圖 26
3.4.3 啟發式演算法虛擬碼 28
四、數值驗證 30
4.1 模型驗證 30
4.1.1 資料輸入 30
4.1.2 最佳化軟體Lingo之最佳解 33
4.1.3 演算法流程說明 38
4.2 模型比較 45
五、結論與未來方向 47
5.1 結論 47
5.2 研究限制與未來方向 48
參考文獻 49
參考文獻 [1] Anders, S. G., Andersson, D. R. and Liu, J., “Significance of intermediate production processes in life cycle assessment of electronic products assessed using a generic compact model”, Journal of Cleaner Production, Vol. 13(13), pp. 1269-1279, 2005.

[2] Arena, U., Mastellone, M. L. and Perugini, F., “The environmental performance of altermative solid waste management options: a life cycle assessment study”, Chemical Engineering Journal, Vol. 96(1-3), pp. 207-222, 2003.

[3] Ballou, R. H., Gilbert, S. M. and Mukherjee, A., “New managerial challenges from supply chain opportunities”, Industrial Marketing Management, Vol. 29(1), pp. 7-18, 2000.

[4] BSI(British Standards Institution), “Specification for the assessment of the life cycle greenhouse gas emissions of goods and service”, PAS 2050, 2008.

[5] Chopra, S. and Meindl, P., Supply Chain management : strategy, planning, and operation(4th ed.), Boston: Prentice Hall, 2010.

[6] Cruz, J. M. and Matsypura, D., “Supply chain networks with corporate social responsibility through integrated environmental decision-making”, International Journal of Production Research, Vol. 47(3), pp. 621–648, 2009.

[7] Dickersbach, J. T., Supply Chain Management with SAP APO, London: Springer, 2004.

[8] EC(European Commission), “Roadmap to a single European transport area: towards a competitive and resource efficient transport system”, European Commission White Paper, Brussel: Belgium, 2011.

[9] Fiksel, J., Design for Environment, New York: McGraw-Hill, 1996.

[10] Galli, A., Wiedmann, T., Ercin, E., Knoblauch, D., Ewing, B. and Giljum, S., “Integrating Ecological, Carbon and Water footprint into a Footprint Family of indicators: Definition and role in tracking human pressure on the planet”, Ecological Indicators, Vol. 16, pp. 100–112, 2012.

[11] IPCC(Intergovernmental Panel on Climate Change), “Climate change 2007: mitigation of climate change”, Intergovernmental Panel on Climate Change Report, 2007.

[12] Lee, K. H., “Integrating carbon footprint into supply chain management: the case of Hyundai Motor Company (HMC) in the automobile industry”, Journal of Cleaner Production, Vol. 19(11), pp. 1216-1223, 2011.

[13] Lin, R. J., “Using fuzzy DEMATEL to evaluate the green supply chain management practices”, Journal of Cleaner Production, Vol. 40, pp. 32-39, 2013.

[14] Linton, J. D., Klassen, R. and Jayaraman, V., “Sustainable supply chains: anintroduction”, Journal of Operations Management, Vol. 25(6), pp. 1075–1082, 2007.

[15] Liu, C. H., Lin, S. J. and Lewis, C., “Life cycle assessment of DRAM in Taiwan’s semiconductor industry”, Journal of Cleaner Production, Vol. 18(5), pp. 419-425, 2010.

[16] Rao, P., “Greening production: a new initiative in South East Asia”, Internal of Operations and Production Management, Vol. 21(6), pp. 632-635, 2002.

[17] Rao, P. and Holt, D., “Do green supply chains lead to competiveness and economic performance”, Internal Journal of Operations & Production Management, Vol. 25 (9), pp. 898-916, 2005.

[18] Sarkis, J., “A strategic decision framework for green supply chain management”, Journal of Cleaner Production, Vol. 11(4), pp. 397-409, 2003.

[19] Sharfman, M., Shaft, T. and Anex, R., “The road to cooperative supply-chain environmental management: trust and uncertainty among proactive firms”, Business Strategy and the Environment, Vol. 18(1), pp. 1-13, 2009.

[20] Shapiro, J. F., Modeling the Supply Chain 1E, Duxbury: Thomson Wardsworth, 2001.

[21] Simchi-Levi, D., Kaminsky, P. and Simchi-Levi, E., Designing and Managing the Supply Chain : Concepts, Strategies, and Case studies, New York: McGraw-Hill International Edition, 2000.


[22] Srivastava, S. K., “Green supply-chain management: A state-of-the-art literature review”, International Journal of Management Reviews, Vol. 9(1), pp. 53-80, 2007.

[23] Tsiakis, P. and Papageorgiou, L. G., “Optimal production allocation and distribution supply chain net works”, International Journal of Production Economics, Vol. 111(2), pp. 468-483, 2008.

[24] Wackemagel, M. and Ress, W. E., Our Ecological Footprint - Reducing Human Impact on the Earth, Philadelphia: New Society Publishers, 1996.

[25] Wang, J. Z., Hsieh, S. T. and Hsu, P. Y., “Advanced sales and operations planning framework in a company supply chain”, International Journal of Computer Integrated Manufacturing, Vol. 25(3), pp. 248-262, 2012.

[26] Wiedmann, T. and Minx, J., “A definition of Carbon Footprint”, ISAUK Research Report, pp. 1-11, 2007.

[27] Yeh, W. C., “A hybrid heuristic algorithm for the multistage supply chain net work problem.” International Journal of Advanced Manufacturing Technology, Vol. 26(5), pp. 675-685, 2005.

[28] Zhu, Q. and Sarkis, J., “The moderating effects of institutional pressures on emergent green supply chain practices and performance”, International Journal of Production Research, Vol. 45(18-19), pp. 4333-4355, 2007.

[29] Frederick S. and Hillier, Gerald J. L., 「作業研究」,潘昭賢,葉瑞徽譯,二版,滄海書局,台中市,民國一百年一月。

[30] ISO/CNS 1406-1,「溫室氣體-第1部:組織層級溫室氣體排放與移除之量化及報告附指引之規範」,2006。

[31] ISO/CNS 1406-2,「溫室氣體-第2部:計畫層級溫室氣體排放減量或移除增量之量化、監督及報告附指引之規範」,2006。

[32] ISO/CNS 1406-3,「溫室氣體-第3部:溫室氣體主張之確證與查證附指引之規範」,2006。
指導教授 呂俊德 審核日期 2016-12-8
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明