以多工序多设备组成的串行生产系统为研究对象，将设备的退化过程看作符合Gamma分布的随机过程，在每次预防性维护时引入机会维护，以减少系统的停机次数；将维护时间看作与设备退化度和维护次数有关的函数，采用退化度恢复因子描述设备维护前后退化度的演变过程；考虑广义时间价值建立设备的成本函数，依据费效比和可用度对设备的维护更新进行联合决策，建立串行生产系统的维护更新模型；算例仿真对维护阈值进行了优化决策，计算出了各设备的更新时间及维护次数.结果表明：广义时间价值会加速设备的老化，缩短设备的使用寿命，从而为企业制定生产系统维护更新策略提供了新思路.
A series production system consisting of multiple processes and facility was studied considering degradation process as a random process in line with Gamma distribution. Opportunistic maintenance was introduced when preventive maintenance (PM) was conducted to reduce system downtime. Maintenance time was regarded as a function of degradation degree and maintenance times. A degradation degree recovery factor was used to describe the evolution process of facility degradation degree before and after maintenance. Considering the generalized time value, cost function of facility and system model was established according to the decision of maintenance and replacement based on cost-effectiveness and availability. The numerical example optimized the maintenance thresholds and calculated the replacement time and PM times of each facility. The results show that the generalized time value can accelerate the aging of facility, shorten service life, and provide a new idea for enterprise to make maintenance and replacement policy.
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