| 研究生: |
吳揚華 Wu, Yang-hua |
|---|---|
| 論文名稱: |
混合生產系統下廠商考慮替代性需求之最適生產策略 Optimal production policies in hybrid system with demand substitution |
| 指導教授: |
黃宇翔
Huang, Yu-shiang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 中文 |
| 論文頁數: | 61 |
| 中文關鍵詞: | 產品回收 、混合生產系統 、再製造 |
| 外文關鍵詞: | substitute demand, hybrid system, remanufacturing |
| 相關次數: | 點閱:87 下載:2 |
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在全球能源短缺的環境中,世界各國提倡節約能源的理念,在不違反資源濫用的原則下,先進國家紛紛進行產品回收,並進行再製造的活動,以法令迫使廠商進行必要之再製造活動,因此廠商便必須重新考量新產品和再製品之間的生產策略,顧客因個人因素對產品有不同的偏好,如新輪胎和再製造輪胎,會貼上標籤供消費者辨識,通常新輪胎價格會高於再製造輪胎,但耐久程度或許不同,顧客便會按照本身需求購買,當產品無法取得時,顧客會存在著替換產品或放棄購買的可能,再此情況下,廠商如何決定新產品和再製品的生產數量,遂成為一個重要的課題。本研究針對此混合製造及再製造之生產系統,加入考量替代性市場需求的因素,廠商同時生產新產品和再製品,本研究尋求一服務水準能夠使得廠商整體利潤最大化,再此服務水準下之生產數量作為廠商之決策,並且分析各參數對廠商之重要性,顯示提升可供再製造比例對廠商來說是相當重要,突顯再製造活動不僅是符合世界潮流,更能夠替廠商帶來實質利潤的增加。
As the impacts of environmental issues and the consequences of over consumption of have been discussed extensively, the natural resources. This general awareness has led to many new developments industrial products to preserve our world, and remanufacturing is one of such developments which is responsible for large energy savings, extending the lives of landfills, and cutting down on the amount of air pollution.
Remanufacturing is a process where a particular product is taken apart, cleaned, repaired, and then reassembled to be used again. Many different types of products can go through this process, including auto parts, tires, furniture, laser toner cartridges, computers, and electrical equipment. In hybrid control systems for remanufacturing of used products and manufacturing of new ones, the two operations are not directly interconnected. The system produces both new product and remanufactured product. The customer can distinguish the difference between them. In this study, we considered the situation that customers may decide to buy a new product or a remanufactured one, i.e., there exists a substitution demand effect. We proposed a model to obtain the optimal production quantities for both the new product and remanufactured product to maximize the overall expected profits. The sensitivity analyses are performed by varying on various parameters to provide valuable insight to our model.
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