1. INTEGRATED BATCH PLANNING OPTIMIZATION BASED ON FUZZY GENETIC AND CONSTRAINT SATISFACTION FOR STEEL PRODUCTION.
- Author
-
Su, L., Qi, Y., Jin, L. -L., and Zhang, G. -L.
- Subjects
PRODUCTION planning ,PRODUCTION scheduling ,SIMULATION methods & models ,MANUFACTURING processes ,GENETIC algorithms - 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]
- Published
- 2016
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