Simulation modelling of iron ore production system and quality management
被引:0
作者:
Everett, J. E.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Western Australia, Fac Econ & Commerce, Nedlands, WA 6009, AustraliaUniv Western Australia, Fac Econ & Commerce, Nedlands, WA 6009, Australia
Everett, J. E.
[1
]
机构:
[1] Univ Western Australia, Fac Econ & Commerce, Nedlands, WA 6009, Australia
来源:
ICEIS 2006: Proceedings of the Eighth International Conference on Enterprise Information Systems: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS
|
2006年
关键词:
decision support systems;
simulation;
operational logistics;
modelling methodologies;
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:
Iron ore is railed several hundred kilometres from open-cut mines inland, to port facilities, then processed to lump and fines products, blended and the lump product re-screened ready for shipment, mainly to Asia. Customers use the ore as principal feed in steel production. Increasing demand and price, especially from China, requires expansion of existing mines and planning of new operations. Expansion planning of the operational logistics, maintaining acceptable product quality, has been greatly helped by simulation modelling described in this paper.
机构:
Univ Western Australia, Fac Econ & Commerce, Dept Informat Management & Mkt, Perth, WA 6907, AustraliaUniv Western Australia, Fac Econ & Commerce, Dept Informat Management & Mkt, Perth, WA 6907, Australia
机构:
Univ Western Australia, Fac Econ & Commerce, Dept Informat Management & Mkt, Perth, WA 6907, AustraliaUniv Western Australia, Fac Econ & Commerce, Dept Informat Management & Mkt, Perth, WA 6907, Australia