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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50965
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蔣明晃(Ming-Huang Chiang)
dc.contributor.authorChun Chieh Liaoen
dc.contributor.author廖俊傑zh_TW
dc.date.accessioned2021-06-15T13:09:28Z-
dc.date.available2021-07-25
dc.date.copyright2016-07-25
dc.date.issued2016
dc.date.submitted2016-06-28
dc.identifier.citation黃添財, 陳良和, & 蔡嬿娟. (2009). 在模糊環境下經濟訂購量存貨模式與再訂購點之研究.
Beamon, B. M. (1999). Designing the green supply chain. Logistics information management, 12(4), 332-342.
Bae, S. H., Sarkis, J., & Yoo, C. S. (2011). Greening transportation fleets: Insights from a two-stage game theoretic model. Transportation Research Part E: Logistics and Transportation Review, 47(6), 793-807.
Bouchery, Y., Ghaffari, A., Jemai, Z., & Dallery, Y. (2012). Including sustainability criteria into inventory models. European Journal of Operational Research, 222(2), 229-240.
Benjaafar, S., Li, Y., & Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. Automation Science and Engineering, IEEE Transactions on, 10(1), 99-116.
Bouchery, Y., Ghaffari, A., Jemai, Z., & Dallery, Y. (2011). Adjust or invest: What is the best option to green a supply chain. Tech. rep., Laboratoire Genie Industriel, Ecole Centrale Paris.
Chen, C. (2001). Design for the environment: A quality-based model for green product development. Management Science, 47(2), 250-263.
Chen, X., Benjaafar, S., & Elomri, A. (2013). The carbon-constrained EOQ.Operations Research Letters, 41(2), 172-179.
Cao, J., So, K. C., & Yin, S. (2016). Impact of an “online-to-store” channel on demand allocation, pricing and profitability. European Journal of Operational Research, 248(1), 234-245.
Casado, E., & Ferrer, J. C. (2013). Consumer price sensitivity in the retail industry: Latitude of acceptance with heterogeneous demand. European Journal of Operational Research, 228(2), 418-426.
El Saadany, A. M. A., Jaber, M. Y., & Bonney, M. (2011). Environmental performance measures for supply chains. Management Research Review,34(11), 1202-1221.
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Gurtu, A., Jaber, M. Y., & Searcy, C. (2015). Impact of fuel price and emissions on inventory policies. Applied Mathematical Modelling, 39(3), 1202-1216.
Gonzalez, C., Korchia, M., Menuet, L., & Urbain, C. (2009). How do socially responsible consumers consider consumption? An approach with the free associations method. Recherche et Applications en Marketing (English Edition), 24(3), 25-41.
Glock, C. H., Jaber, M. Y., & Searcy, C. (2012). Sustainability strategies in an EPQ model with price-and quality-sensitive demand. The International Journal of Logistics Management, 23(3), 340-359.
Hoffman , W .2007. Who's carbon-free?.Traffic World, 271(42): 15–15.
Heckert, J.B., Miner, R.B., 1940. Distribution Costs. The Ronald Press Company,New York.
Hong, T., Kim, H., & Kwak, T. (2011). Energy-saving techniques for reducing CO2 emissions in elementary schools. Journal of Management in Engineering.
He, P., Zhang, W., Xu, X., & Bian, Y. (2014). Production lot-sizing and carbon emissions under cap-and-trade and carbon tax regulations. Journal of Cleaner Production.
Hovelaque, V., & Bironneau, L. (2015). The carbon-constrained EOQ model with carbon emission dependent demand. International Journal of Production Economics, 164, 285-291.
Huang, M. H., & Rust, R. T. (2011). Sustainability and consumption. Journal of the Academy of Marketing Science, 39(1), 40-54.
Hua, G., Cheng, T. C. E., & Wang, S. (2011). Managing carbon footprints in inventory management. International Journal of Production Economics, 132(2), 178-185.
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Lin, W. C. (2004). The Optimal Strategy for Executing Vendor Managed Inventory.
Liu, B., Holmbom, M., Segerstedt, A., & Chen, W. (2015). Effects of carbon emission regulations on remanufacturing decisions with limited information of demand distribution. International Journal of Production Research, 53(2), 532-548.
Liu, H., Guan, X., & Zhang, Z. (2015). The price–dependent newsvendor models with carbon constraints. International Journal of Shipping and Transport Logistics, 7(3), 377-391.
Li, H. C. (2015). Optimal delivery strategies considering carbon emissions, time-dependent demands and demand–supply interactions. European Journal of Operational Research, 241(3), 739-748.
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網路訊息資料
行政院環境保護署(民104年10月5日)。何謂碳標籤【網站文字資料】。取自https://cfp.epa.gov.tw/CARBON/EZCFM/FUNCTION/PLATFORMINFO/FLCONCEPT/FLABELINTRODUCTION.ASPX
European Commission.(2015,November 15). Identifying products with the greatest potential for environmental improvement[Web message]. Retrieved from http://ec.europa.eu/environment/ipp/identifying.htm
劉力仁、施曉光(民99年6月5日)。7產品獲台灣首批碳標籤認證【網站文字資料】。取自http://news.ltn.com.tw/news/life/paper/401013
王玉樹、朱正庭(民100年8月15日)。摩斯漢堡帶頭標示「碳足跡」【網站文字資料】。取自http://www.appledaily.com.tw/appledaily/article/ headline/20110815/33598178/
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50965-
dc.description.abstract碳排放政策所帶來的影響,使得公司在企業的運作上迎來了新的挑戰與更高的難度,不同於傳統存貨機制總以成本極小化為導向,現在的存貨管理除了考慮成本之外,尚需考慮對於環境之影響。
過去使用最適經濟訂購量模型對零售商方面的研究,多半僅考慮碳排放量與政府規範系統的層面,並未考慮到近年社會大眾對於環保意識的抬頭與投資綠能科技的方式來降低碳排放量的議題,有鑑於此,本研究將站在零售商的角度切入,從政府所制定的碳稅課徵環境限制,與市場上消費者對於綠色環保的意識逐年上升的情況下,找出最適的訂購數量與綠能科技的投資量,以利潤極大化為目標,發展求解模式以求取該模型之最佳解,進而得到最適的訂購數量與綠能科技投資額度。
最後,將各參數帶入實際的數字進行數值分析,本研究所得到的分析結果是綠能科技的投資的確有助於降低碳排放量與碳稅成本,但是要衡量投資效益遞減數值、價格敏感度與碳排放量彈性,避免碳排放量降低程度過低導致市場需求減少造成公司利潤降低。本研究依據研究結果,找出背後的管理意涵與相關建議。
zh_TW
dc.description.abstractThe effect of the carbon emission policy, bringing new challenges and higher levels of difficulties in the company operation. Not like the traditional way of inventory mechanism to minimize the cost, but consider the effect toward the environment in the inventory management.
The most research of economic order quantity model apply into retailer aspect, only consider carbon emission and regulation policies. Didn’t include the people who raise the concept of environmental protection and via invest the green technology to reduce the carbon emission. Therefore, the study stands at the point of the retailer. From the carbon emission restriction formulated by the government to the consumer who raise their conscious of green and environmental protection. The purpose is to maximize the profit of the company and find the optimum quantity to order and the amount to invest. Develop the mode to solve the best value of the model.
Finally, the numerical analysis is done. According to the result of the analysis we find that investment of the green technology can indeed reduce the carbon emission and the carbon tax. But we should take the efficiency of green technology in reducing emissions, decreasing return parameter, price sensitivity and the carbon emission elasticity in to consider. In case the little reduction level of the carbon emission will affect the market demand and the company profit. The study according to the result of the research, find out the management meaning and the related suggestion.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T13:09:28Z (GMT). No. of bitstreams: 1
ntu-105-R03546040-1.pdf: 1629631 bytes, checksum: 844108b301091256b6089573bab144f4 (MD5)
Previous issue date: 2016
en
dc.description.tableofcontents摘要………………………………………………………………Ⅰ
ABSTRACT…………………………………………………………Ⅱ
目錄………………………………………………………………Ⅲ
圖目錄……………………………………………………………Ⅵ
表目錄……………………………………………………………Ⅶ
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 論文架構………………………………………………6
第二章 文獻探討………………………………………………7
2.1供應鏈管理…………………………………………………7
2.1.1綠色供應鏈………………………………………………8
2.1.1綠色營運…………………………………………………9
2.1.3綠色產品與市場相關研究………………………………10
2.2碳足跡………………………………………………………11
2.2.1減碳政策…………………………………………………13
2.2.2碳稅………………………………………………………13
2.3零售商需求函數……………………………………………14
2.4存貨管理……………………………………………………15
2.5小結…………………………………………………………16
第三章 模型建構與求解……………………………………18
3.1研究問題描述……………………………………………18
3.2模型假設…………………………………………………20
3.3模型符號說明……………………………………………20
3.4模型建構…………………………………………………21
3.4.1碳排放量評估模式……………………………………21
3.4.2零售商利潤函數………………………………………22
3.4.3需求函數………………………………………………23
3.4.4納入碳稅的零售商總利潤模型………………………24
3.4.5限制條件………………………………………………25
3.5情境設定…………………………………………………27
3.5.1情境一:投資量為外生………………………………28
3.5.2情境二:投資量為內生………………………………29
3.6求解方法………………………………………………30
第四章 敏感度分析………………………………………31
4.1相關參數設定…………………………………………31
4.2數值分析………………………………………………32
4.2.1情境一:投資量為外生………………………………32
4.2.2情境二:投資量為內生………………………………34
4.2.3不同情境數值分析小結……………………………36
4.3敏感度分析……………………………………………37
4.3.1投資綠能科技所降低碳排效率與投資效益遞減的影響…37
4.3.2價格敏感度(p)的影響………………………………………41
4.3.3碳排放量彈性(k)的影響……………………………………44
4.4小結……………………………………………………………47
第五章 結論與建議……………………………………………48
5.1研究結論與管理意涵………………………………………48
5.2研究貢獻……………………………………………………50
5.3研究限制……………………………………………………51
5.4未來研究方向………………………………………………51
參考文獻………………………………………………………53
dc.language.isozh-TW
dc.subjectinventory managementen
dc.subjectEOQ modelen
dc.subjectcarbon emissionen
dc.subjectgreen technologyen
dc.subjectinventory managementen
dc.subjectEOQ modelen
dc.subjectcarbon emissionen
dc.subjectgreen technologyen
dc.title考量碳排放稅下零售商最適訂購數量與綠能科技投資量之研究zh_TW
dc.titleThe optimal retailer ordering quantity and investment of green technology under carbon emission regulation policyen
dc.typeThesis
dc.date.schoolyear104-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃奎隆,吳文方
dc.subject.keywordEOQ模型,碳排放,綠能科技,存貨管理,zh_TW
dc.subject.keywordEOQ model,carbon emission,green technology,inventory management,en
dc.relation.page57
dc.identifier.doi10.6342/NTU201600550
dc.rights.note有償授權
dc.date.accepted2016-06-29
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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