An arithmetic-geometric mean inequality approach for determining the optimal production lot size with backlogging and imperfect rework process
學年 105
學期 2
出版（發表）日期 2017-02-01
作品名稱 An arithmetic-geometric mean inequality approach for determining the optimal production lot size with backlogging and imperfect rework process
作品名稱（其他語言）
著者 Chang, Chun-Tao; Ouyang, Liang-Yuh
單位
出版者
著錄名稱、卷期、頁數 Journal of Applied Analysis and Computation 7(1), p.224-235
摘要 Some classical studies on economic production quantity (EPQ) models with imperfect production processes and complete backlogging have focused on determining the optimal lot size. However, these models neglect the fact that the total production-inventory costs can be reduced by reworking imperfect items for a relatively small repair and holding cost. To account for the above phenomenon, we take the out of stock and repair failures into account and establish an EPQ model with imperfect production processes, failure in repair and complete backlogging. Furthermore, we assume that the holding cost of imperfect items is distinguished from that of perfect ones, as well as, the costs of repair, disposal, and shortage are all included in the proposed model. In addition, without taking complex differential calculus to determine the optimal production lot size and backorder level, we employ an arithmetic-geometric mean inequality method to determine the optimal solutions. Finally, numerical examples and sensitivity analysis are analyzed to illustrate the validity of the proposed model. Some managerial insights are obtained from the numerical examples.
關鍵字 Production;Random defective rate;Failure in repair;Backlogging;Arithmetic-geometric mean inequality
語言 en
ISSN 2158-5644
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chang, Chun-Tao
審稿制度 是
國別 DEU
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/110392 )