Article ID: | iaor20023181 |
Country: | Netherlands |
Volume: | 137 |
Issue: | 3 |
Start Page Number: | 483 |
End Page Number: | 496 |
Publication Date: | Mar 2002 |
Journal: | European Journal of Operational Research |
Authors: | Altinel . Kuban, Draman Murat, Bajgoric Nijaz, nal Ali Tamer, Birgren Burak |
Keywords: | artificial intelligence: decision support, programming: mathematical |
This paper outlines a visually interactive graphical modeling approach for process type production systems, with hidden generation of complex optimization models for production planning. The proposed system lets the users build a graphical model of the production system with one-to-one clones of its production units through its interactive visual interface, accepts production-specific data for its components, and finally, internally generates and solves its mathematical programming model without any interaction from the user. This ‘clone-based’ modeling approach allows the continued use of optimization models with minimal mathematical programming understanding, as generation of mathematical model by clones is hidden and automatic, therefore maintenance-free: updating graphical production system models is enough for renewing internal optimization models. The concept is demonstrated in this paper with a linear programming prototype developed for a petroleum refinery.