کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
699397 | 890764 | 2007 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Managing risk in semiconductor manufacturing: A stochastic predictive control approach Managing risk in semiconductor manufacturing: A stochastic predictive control approach](/preview/png/699397.png)
The paper proposes a method to optimize the cost and time of a project. The method considers principles from risk management and applying model predictive control (MPC). The control variables (continuous or discrete) are the mitigation actions that must be executed in order to reduce risk exposure. Risk impacts are considered to be stochastic variables to model uncertainties that could potentially appear. As a consequence, a stochastic mixed integer quadratic optimization problem is obtained. Furthermore, Monte Carlo simulation is executed by considering random variables on different variables. A real-life risk management problem related to the construction of semiconductor manufacturing facilities is presented. The given solution illustrates the effectiveness of the method.
Journal: Control Engineering Practice - Volume 15, Issue 8, August 2007, Pages 969–984