Intelligent Scheduling Method Oriented to Multi-varieties and Small-batch Production Mode

被引:3
|
作者
Zhou, Danchen [1 ]
Zeng, Liang [1 ]
机构
[1] China Acad Engn Phys, Inst Machinery Mfg Technol, Mianyang 621900, Sichuan, Peoples R China
关键词
multi-varieties and small-batch production; intelligent scheduling; combination constraint; priority scheduling; machine load balance; working center; genetic annealing algorithm;
D O I
10.4028/www.scientific.net/AMM.263-266.1269
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In terms of characteristics of scheduling problem in multi-varieties and small-batch production mode, three additional constraint conditions including combination constraint, priority scheduling and machine load balance are supplemented based on classical Job-shop scheduling model in order to reflect the actual scheduling activities better. An improved genetic annealing algorithm is proposed aiming at the above model, and the requirement of supplemented constraint conditions is satisfied by means of improving the decoding process of chromosomes. The key technologies of algorithm are discussed in detail. The feasibility and validity of the proposed model and algorithm is demonstrated through simulated computation.
引用
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页码:1269 / 1274
页数:6
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