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- W2355147773 abstract "Aimed at the problems of excessive WIP,lacking timeliness in pulling materials and not uniform distribution of machines' load existed in production field of one steel processing and dispatching center,through ISM(interpretive structural model) this paper find the root cause and obtain the improve thought.In order to achive solutions,it describes the steel's production scheduling as a general Job-Shop Scheduling model,and designes an Auto-adapted Hierarchical Genetic Algorithm(A-HGA) to solve the model.The results of Matlab operation prove that A-HGA's scheduling is better than experience scheduling,and also improving the average utilization rate of machines,solving the problems of excessive WIP and lacking timeliness in pulling materials.Same time,as the algorithm's simple coding,informative chromosome and good convergence,it has obvious advantages in solving multi-variable optimization problems such as complex JSS and topology structure." @default.
- W2355147773 created "2016-06-24" @default.
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- W2355147773 date "2010-01-01" @default.
- W2355147773 modified "2023-09-24" @default.
- W2355147773 title "Based on A-HGA research JSS problem of one Steel Processing and Distribution Center" @default.
- W2355147773 hasPublicationYear "2010" @default.
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