关键词: 统计过程控制, 设备维护策略, 控制图, 质量损失函数, 期望成本最小

Abstract: Based on former researches, traditional Statistical Process Control(SPC)model was expanded, and equipment maintenance thought was integrated. In joint economic model, three different conditions in production process were considered. Control chart was adopted to monitor the state of each condition, and Taguchi　s loss function was used to define the quality loss cost of specific state. According to the state of production process, corresponding maintenance strategy was initiated to the equipments. The quality cost and maintenance cost of process were included in total production cost. Thus, the optimal parameter designs of control chart, the sampling inspection interval, and the sample number as well as sample size taken before maintenance were obtained, so as to minimizing the total expected production cost in production cycle. The deliverable results of model could help production personnel make scientific plans and policies based on specific production conditions. The pattern research method was applied to solve the model, and the solving process was realized through tool box of MATLAB. A case study and sensitivity analysis were used to demonstrate the effectiveness of proposed model.

Key words: statistical process control, equipment maintenance policy, control chart, quality loss function, minimization of expected production cost