研究生: |
Christian Bunjamin Christian - Bunjamin |
---|---|
論文名稱: |
Shortage Study of EOQ within Defective and Reworked Items during Screening and Rework Time Shortage Study of EOQ within Defective and Reworked Items during Screening and Rework Time |
指導教授: |
李強笙
Chiang-Sheng Lee |
口試委員: |
林希偉
Shi-Woei Lin 陳崇文 Chung-wen Chen |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 英文 |
論文頁數: | 52 |
中文關鍵詞: | rework 、defective 、shortage 、EOQ |
外文關鍵詞: | EOQ, shortage, defective, rework |
相關次數: | 點閱:445 下載:1 |
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The main purpose of this paper is to estimate economic order quantity (EOQ) value within items with two types of imperfect quality under random inspection. The imperfect items are distinguished as defective and reworkable ones. The defective items are treated as scrap and reworkable ones will be sent back to supplier to get repaired. The repaired items later are able to meet customer demand. A mathematical model is developed in which defective and reworkable rate is given under uniform distribution. We consider every probability density function of each good, defective and reworkable proportion following multivariate hypergeometric distribution. Then we extend the study to shortage case that may occur due to the lack of good items to fulfill demand rate during an order cycle. For every shortage, it is assumed that manufacturer has to pay additional penalty cost. The expected total cost is then calculated over its corresponding probability. Interestingly we observed a pattern of the expected total cost value that will drop as number of order quantity increases to a certain point and turn over to increase gradually as number of order increases within a range of order quantity. At last, numerical computation is provided to illustrate the conclusive outcome of proposed model.
Keywords: EOQ, ETCPUT, Shortage, Order Size, Screening Rate, Rework Rate
The main purpose of this paper is to estimate economic order quantity (EOQ) value within items with two types of imperfect quality under random inspection. The imperfect items are distinguished as defective and reworkable ones. The defective items are treated as scrap and reworkable ones will be sent back to supplier to get repaired. The repaired items later are able to meet customer demand. A mathematical model is developed in which defective and reworkable rate is given under uniform distribution. We consider every probability density function of each good, defective and reworkable proportion following multivariate hypergeometric distribution. Then we extend the study to shortage case that may occur due to the lack of good items to fulfill demand rate during an order cycle. For every shortage, it is assumed that manufacturer has to pay additional penalty cost. The expected total cost is then calculated over its corresponding probability. Interestingly we observed a pattern of the expected total cost value that will drop as number of order quantity increases to a certain point and turn over to increase gradually as number of order increases within a range of order quantity. At last, numerical computation is provided to illustrate the conclusive outcome of proposed model.
Keywords: EOQ, ETCPUT, Shortage, Order Size, Screening Rate, Rework Rate
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