82. Combining the multi-periodic and flexible input modeling techniques in the P-Graph framework
Invited abstract in session WE-4: P-graph Algorithms, stream P-graph algorithms and applications.
Wednesday, 14:45 - 16:15Room: C105
Authors (first author is the speaker)
| 1. | András Éles
|
| Department of Computer Science and Systems Technology, University of Pannonia | |
| 2. | István Heckl
|
| Department of Computers Science and Systems Technology, University of Pannonia |
Abstract
This works focuses on how two major modeling techniques in the P-Graph framework can be applied together. Multi-periodic models allow to address scenarios where input feeds and/or output demands are fluctuating between time periods, and intermediate storage is not negligible. The flexible input scheme can be used when the composition of multiple inputs is arbitrary, but can be subject to custom constraints. Both techniques use multiple operating unit nodes to model complex operations. In our current work, we compare the two techniques and investigate how these should be used in a single case study. As a demonstration, a processed food production problem is solved. This problem involves multiple time periods and flexible inputs in each period, which suggests that the two modeling techniques should be integrated.
Keywords
- Analysis and engineering of optimization algorithms
Status: accepted
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