SHOP ORDERS SCHEDULING: DISPATCHING RULES AND GENETIC ALGORITHMS BASED APPROACHES

被引:0
|
作者
Cimino, Antonio [1 ]
Longo, Francesco [1 ]
Mirabelli, Giovanni [1 ]
Papoff, Enrico [1 ]
机构
[1] Univ Calabria, Dept Mech Engn, M&S Net Ctr, MSC,LES, I-87036 Arcavacata Di Rende, Italy
来源
EMSS 2008: 20TH EUROPEAN MODELING AND SIMULATION SYMPOSIUM | 2008年
关键词
Manufacturing Systems; Production Planning; Shop Order Scheduling; Modeling & Simulation; Genetic Algorithms;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the wide context of production planning a critical role is played by the operative programming, or short period production planning, whose results affect considerably the production system performances. The research work presented in this paper is focused on the Shop Orders scheduling problem into a real manufacturing system using dispatching rules and genetic algorithms based approaches supported by Modelling & Simulation. The objective is to verify the behaviour of different dispatching rules as well as to test the potentialities of production planning guidelines obtained by using genetic algorithms.
引用
收藏
页码:817 / 823
页数:7
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