A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries
| Autor: | I. Kuban Altınel, Nijaz Bajgoric, Burak Birgören, Ali Tamer Ünal, Murat Draman |
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| Rok vydání: | 2002 |
| Předmět: |
Decision support system
Information Systems and Management General Computer Science Linear programming business.industry Programming language Computer science Management Science and Operations Research Work in process computer.software_genre Machine learning Industrial and Manufacturing Engineering Object-oriented design Production planning Modeling and Simulation Clone (computing) Artificial intelligence Graphical model business computer Generator (mathematics) |
| Zdroj: | European Journal of Operational Research. 137:483-496 |
| ISSN: | 0377-2217 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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