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論文名稱 Title |
一個以知識本體論為基礎的製造流程碳足跡模型 An Ontology-based Carbon Footprint Model for Manufacturing Processes |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
72 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2016-07-07 |
繳交日期 Date of Submission |
2016-08-17 |
關鍵字 Keywords |
碳足跡標籤、知識本體論、Protégé、Prolog一階邏輯語言、服務流程 Protégé, Service business process, Prolog reasoning, Carbon footprint labeling, Ontology model |
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統計 Statistics |
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中文摘要 |
溫室氣體排放量不斷增加而造成全球暖化的現象,氣候的變遷也更加劇烈,無論是社會或者是企業組織,甚至是個人都應該為減少溫室氣體排放盡一份心力。近幾年,碳足跡的概念逐漸興起,不僅僅讓消費者更接近溫室氣體排放的概念,也能夠根據碳足跡標籤了解溫室氣體排放量的多寡進而選擇碳足跡較低的物件。另外一方面,以企業的觀點來看,碳足跡也幫助改善企業供應鏈的溫室氣體排放,成為了企業綠色供應鏈的推手。 本篇研究主要利用知識本體論的概念來為製造流程建立碳足跡計算模型,考慮各種能源和排放物,以及資源回收,使其更符合真實世界的流程需求,並配合統計軟體及Prolog邏輯語言進行碳足跡貢獻的推理計算,系統主要以Java開發,研究最後得到個體產品以及各製程服務的碳足跡標籤並進行碳足跡標籤管理系統的評估。實驗結果顯示本研究所建立的模型和方法可以精確且簡便的計算出個別產品的碳足跡。 |
Abstract |
The emission volume increase of greenhouse gas (GHG) has caused the planet heating up and the climate change dramatically. No matter who causes the situation, such as society, enterprises or even individuals, all of them should take responsibilities in reducing the emission volume of the greenhouse gas. In recent years, the concept of the carbon footprint gradually rises. Consumers are more familiar to this concept and tend to choose the products that processes less carbon footprint. On the other hand, from the viewpoint of the enterprises, carbon footprint makes their supply chain more efficient and become more environmental friendly due to the concept of green supply chain. Our study employs ontology to build a model for the manufacturing processes in the real world. This model incorporates ontologies, statistic software and prolog language for inference, which can be used for carbon footprint reasoning. A prototype based on the proposed model is developed using Java and able to calculate the carbon footprint labeling of individual services or products. Finally, we evaluate our carbon footprint labeling approach and describe the research limitations and future works. |
目次 Table of Contents |
論文審定書 i 致謝 ii 摘要 iii Abstract iv Table of Contents v List of figures vii List of tables ix CHAPTER I. INTRODUCTION 1 1.1 Background 1 1.2 Research Purpose 4 1.3 Research Questions 5 1.4 Value of Research 6 1.5 Thesis Organization 7 CHAPTER II. Literature Review 8 2.1 Carbon Footprint in Business Processes 8 2.2 Commentary for Estimating the Carbon Footprint 10 CHAPTER III. RESEARCH METHOD 14 3.1 Research Design 14 3.2 Manufacturing Processes 15 3.3 Building Ontology Model 21 3.4 Protégé 31 3.5 Prolog Language 33 3.6 Using Matlab for reasoning carbon footprint of a service 39 CHAPTER IV. RESULTS 47 4.1 Case Study: Steel Company P 47 4.2 Prolog Reasoning for Carbon Footprint Labeling 50 4.3 Evaluation 52 CHAPTER V. CONCLUSIONS 58 5.1 Conclusion 58 5.2 Limitations of the Study 58 5.3 Recommendations for Future Research 59 REFERENCES 60 |
參考文獻 References |
Benjaafar, S., Li, Y., & Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. IEEE Transactions on Automation Science and Engineering, 10(1), 99-116. Hertwich, E. G., & Peters, G. P. (2009). Carbon footprint of nations: A global, trade-linked analysis. Environmental science & technology, 43(16), 6414-6420. Hou, S., Li, H., & Rezgui, Y. (2015). Ontology-based approach for structural design considering low embodied energy and carbon. Energy and Buildings, 102, 75-90. Marland, G., Boden, T., Andres, R., Brenkert, A., & Johnston, C. (2007). Global, regional, and national fossil fuel CO2 emissions. Trends: A Compendium of Data on Global Change, 37831-36335. Recker, J., Rosemann, M., Hjalmarsson, A., & Lind, M. (2012). Modeling and analyzing the carbon footprint of business processes Green Business Process Management (pp. 93-109): Springer. White, S. A. (2004). Introduction to BPMN. IBM Cooperation, 2(0), 0. Wiedmann, T., & Minx, J. (2008). A definition of ‘carbon footprint’. Ecological economics research trends, 1, 1-11. Zhu, W., Zhou, G., Yen, I.-L., & Hwang, S.-Y. (2013). Toward ontology and service paradigm for enhanced carbon footprint management and labeling. Paper presented at the Web Services (ICWS), 2013 IEEE 20th International Conference on. Zhu, W., Zhou, G., Yen, I.-L., & Hwang, S.-Y. (2015). A CFL-ontology model for carbon footprint reasoning. Paper presented at the Semantic Computing (ICSC), 2015 IEEE International Conference on. |
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