.png){kind=icon}
Return
Deterministic methods of flexibility analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/S0098-1354(99)80095-7.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we consider the solution of process optimization models under uncertainty (two-step optimization or TSOP). We note that the design variables found by solving the TSOP can guarantee the flexibility of chemical processes only if the solution corresponds to a global minimum. Therefore, we discuss the conditions under which a global minimum is obtained by selected deterministic methods available in the open literature. It should also be noted that for practical problems, it is often very difficult to check convexity (concavity) conditions which are often considered in flexibility analysis. To address this problem, two modifications of a method due to Ostrovski and Volin (1997) are suggested. These modifications extend the class of problem for which the global solution can be obtained.
Keywords:
optimization
uncertainty
global minimum
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
3.9
Papers:
8.1K
Citations:
1.7W
Organization
No organization information available
Cited Papers
Elucidation of the Functional Metal Binding Profile of a CdII/PbII Sensor CmtRSc from Streptomyces coelicolor.png)
Biochemistry
OAAI
BiochemistryIF0
OAAIShareSave