Disruption management in production planning

We study the problem of recovering a production plan after a disruption, where the disruption may be caused by incidents such as power failure, market change, machine breakdown, supply shortage, worker no‐show, and others. The new recovery plan we seek after has to not only suit the changed environment brought about by the disruption, but also be close to the initial plan so as not to cause too much customer unsatisfaction or inconvenience for current‐stage and downstream operations. For the general‐cost case, we propose a dynamic programming method for the problem. For the convex‐cost case, a general problem which involves both cost and demand disruptions can be solved by considering the cost disruption first and then the demand disruption. We find that a pure demand disruption is easy to handle; and for a pure cost disruption, we propose a greedy method which is provably efficient. Our computational studies also reveal insights that will be helpful to managing disruptions in production planning. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

从卫星SAR海洋图像中检测船目标

船在卫星ＳＡＲ海洋图像中一般是以亮点的形式出现。本文先简要地介绍了船目标在卫星ＳＡＲ海洋图像中的成像原理，在此基础上介绍了三种检测船目标的方法——窗口滤波方法、自适应阈值法、概率密度函数法，并运用实际的卫星ＳＡＲ海洋图像对这三种算法进行了测试。测试结果表明，后两种方法效果比较好。