Evolutionary approach for solving cell-formation problem in cell manufacturing
| Autor: | Tonči Mikac, Zlatan Car |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Engineering
Mathematical optimization Artificial neural network business.industry Cellular manufacturing Cell formation Manufacturing enterprises Manufacturing engineering Group technology Artificial Intelligence Genetic algorithm Decomposition (computer science) Production (economics) cellular manufacturing system cell-formation problem artificial neural network genetic algorithm business Information Systems |
| Popis: | New environmental characteristics and requirements have challenged manufacturing enterprises to improve the efficiency and productivity of their production activities. Cellular manufacturing (CM) as one of the solutions to this problem, as implementation of Group technology (GT), was proposed. Performance of cellular manufacturing systems depends heavily on the cell structure. In this paper we present and evaluate a novel approach for solving the cell-formation problem based on implementation of a GA, called modified genetic algorithm (MGA). Implementation of the GA in here presented simulation model is based on Emergent Synthesis idea, of top-down problem decomposition and emerging solution from bottom-up feedback. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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