کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
173727 | 458608 | 2008 | 23 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A multistage stochastic programming approach with strategies for uncertainty reduction in the synthesis of process networks with uncertain yields A multistage stochastic programming approach with strategies for uncertainty reduction in the synthesis of process networks with uncertain yields](/preview/png/173727.png)
We consider in this paper the synthesis of process networks with time-varying uncertain yields in which investment in pilot plants can be considered to reduce uncertainty of the yields. We formulate this problem as a multistage stochastic program with decision dependent elements where investment strategies are considered to reduce uncertainty, and time-varying distributions are used to describe uncertainty. We propose a new mixed-integer/disjunctive programming model which is reformulated as a mixed-integer linear program. Since the model can only be solved through an LP-based branch and bound for smaller instances, we propose a duality-based branch and bound algorithm for solving larger problems. Two numerical examples are presented to illustrate the application of the proposed method.
Journal: Computers & Chemical Engineering - Volume 32, Issues 4–5, 5 April 2008, Pages 766–788