Determining the production run time for a manufacturing system with stochastic breakdown, (n+1) delivery policy , and partially reworking of defective items

碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 101 === This study determines the production run time for a manufacturing system with stochastic breakdown, (n+1) delivery policy, and partially reworking of defective items. The classic Economic Production Quantity (EPQ) model assumes the manufacturing system is pe...

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Bibliographic Details
Main Authors: Ming-Sheng Hsu, 許明生
Other Authors: Hong-Dar Lin
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/04352177791578929342
Description
Summary:碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 101 === This study determines the production run time for a manufacturing system with stochastic breakdown, (n+1) delivery policy, and partially reworking of defective items. The classic Economic Production Quantity (EPQ) model assumes the manufacturing system is perfect during the production run time. But, in real-life manufacturing system, defective items and stochastic machine breakdown are inevitable. In this research, we assumed that the manufacturing system produce defective items randomly, a portion of defective item can be repaired through rework, the others are considered scrap. Furthermore, the manufacturing system is subject to stochastic machine breakdown, and when it occurs the AR policy is adapted. We assumed that one upfront distribution of finished items is shipped to meet customer’s demand within the production and rework time, then in the end of rework, multiple distributions are done. Mathematical modeling and analysis are used to solve this model. Numerical example and sensitivity analysis is provided to demonstrate its practical usage.