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INTEGRATED BATCH PLANNING OPTIMIZATION BASED ON FUZZY GENETIC AND CONSTRAINT SATISFACTION FOR STEEL PRODUCTION.
- Source :
-
International Journal of Simulation Modelling (IJSIMM) . Mar2016, Vol. 15 Issue 1, p133-143. 11p. - Publication Year :
- 2016
-
Abstract
- This paper stablishes the model of the integrated batch planning process, and proposes an improved algorithm for this problem. The simulation results of a computerized scheduling system are given to prove the fitness of the model. The steel making casting production process scheduling problem is very difficult to get a good performance solution in practice. The scheduling of steelmaking casting production is a complicated problem of combinational optimization in the hybrid flow shop, which is an NP-Hard problem, and determining the polynomial time algorithm to arrive at the accurate optimal solution has proved to be a difficult task. An improved fuzzy genetic optimization and improved algorithm strategy are proposed. The results show that the method is very efficient in solving the steel casting production scheduling problem. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17264529
- Volume :
- 15
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Simulation Modelling (IJSIMM)
- Publication Type :
- Academic Journal
- Accession number :
- 113619063
- Full Text :
- https://doi.org/10.2507/IJSIMM15(1)CO1