Imperfect Economic Production Quantity Models under Predictive maintenance and Reworking

• Main Authors: Yu-Chun Tsai, 蔡侑峻
• Other Authors: Yu-Chung Tsao
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/fdjyan

碩士 === 國立臺灣科技大學 === 工業管理系 === 105 === Recently, many companies begin to develop intelligent production systems and perform predictive maintenances due to the popular of Industry 4.0. Predictive maintenance monitors production systems by using sensors and data analysis, and maintains production systems before out of control. The traditional economic production quantity (EPQ) model assumes all products are perfect quality, which is not realistic. Production systems may shift from the “in-control” state to the “out-of-control” state, resulting in a higher defective rate. This paper develops imperfect economic production quantity models under predictive maintenance (PDM) and reworking of defective products. This paper considers two different conditions :(1) the production system continues to produce product when it shifts to “out-of-control” state; (2) the production system stops producing when it shifts to “out-of-control” state. This paper develops mathematical models for these two conditions. The objective of the models is to determine the optimal predictive maintenance effort and production run time while minimizing the total expected cost. Also, this paper provides algorithms to solve the two problems. We discuss the influences of system parameters on the expect total cost and decisions. Finally, management insights are provided based on the results of numerical analysis.