A model on determining a production rate and lot size for a manufacturing system with unreliable modules and its applications

• Main Authors: Cheng-Chang Chang, 張正昌
• Other Authors: Dah-Chuan Gong
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/r8z696

博士 === 中原大學 === 工業與系統工程研究所 === 103 === This study considers an Economic Production Quantity (EPQ) model that is applied to determine a production lot size for manufacturing a product in batches on an imperfect machine to meet a constant demand rate. The machine is dictated by two unreliable key components that may be random breakdown during a production run. There are two situations to handle the defects in this study.(1)subject to random failure(2)subject to variable production rates. In the model for random failure that suppose there are three independent sources of shocks. It occurs at a random time all following an exponential distribution. In the model for variable production rates that also suppose there are three independent sources of shocks. It occurs at a random time all following an exponential distribution. There two production policies, the no-resumption (NR) and the abort-resume (AR), which differ from Groenevelt et al. research work by considering the repair activity and a threshold value of the production uptime, are concerned in this paper. Various properties and near-optimal formulas are further discussed. And numerical examples are provided to argue these approximations’ quality in comparison with results obtained by the genetic algorithm. The practical application of a real world example can be seen in an automatic robotic arm machine, in which a hydraulic cylinder and a barrel heater are two key components.