A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries

A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries

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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: , , , ,
Keywords: artificial intelligence: decision support, programming: mathematical
Abstract:

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.

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