期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 55, 期 6, 页码 1791-1814出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2016.1245451
关键词
maintenance and production; optimal scheduling; optimal control; smoothing technique; improved Newton algorithms
资金
- Chinese National Natural Science Foundation [61563011, 11501143, 61374006]
- Ph.D research fund of Guizhou Normal University [11904-0514170]
This paper considers an optimal scheduling problem of maintenance and production for a machine. Firstly, the problem is formulated as a stochastic switched impulsive optimal control problem. However, there exists the stochastic disturbance in this model. Thus, it is difficult to solve the problem by conventional optimisation techniques. To overcome this difficulty, the stochastic switched impulsive optimal control problem is transformed into a deterministic switched impulsive optimal control problem with continuous state inequality constraints. Then, by combining a time-scaling transformation, a second-order smoothing technique and a penalty function method, an improved Newton algorithm is developed for solving this problem. Convergence results indicate that the algorithm is globally convergent with quadratic rate. Finally, two numerical examples are provided to illustrate the effectiveness of the developed algorithm.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据