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An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility

Hanoun, Samer, Khan, Burhan, Johnstone, Michael, Nahavandi, Saeid and Creighton, Doug 2013, An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility, in INDIN 2013 : Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics, IEEE, Piscataway, N.J., pp. 206-211.

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Title An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility
Author(s) Hanoun, Samer
Khan, Burhan
Johnstone, Michael
Nahavandi, Saeid
Creighton, Doug
Conference name IEEE International Conference on Industrial Informatics (11th : 2013 : Bochum, Germany)
Conference location Bochum, Germany
Conference dates 29-31 Jul. 2013
Title of proceedings INDIN 2013 : Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE International Conference on Industrial Informatics
Start page 206
End page 211
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Coal handling is a complex process involving different correlated and highly dependent operations such as selecting appropriate product types, planning stockpiles, scheduling stacking and reclaiming activities and managing train loads. Planning these operations manually is time consuming and can result in non-optimized schedules as future impact of decisions may not be appropriately considered. This paper addresses the operational scheduling of the continuous coal handling problem with multiple conflicting objectives. As the problem is NP-hard in nature, an effective heuristic is presented for planning stockpiles and scheduling resources to minimize delays in production and the coal age in the stockyard. A model of stockyard operations within a coal mine is described and the problem is formulated as a Bi- Objective Optimization Problem (BOOP). The algorithm efficacy is demonstrated on different real-life data scenarios. Computational results show that the solution algorithm is effective and the coal throughput is substantially impacted by the conflicting objectives. Together, the model and the proposed heuristic, can act as a decision support system for the stockyard planner to explore the effects of alternative decisions, such as balancing age and volume of stockpiles, and minimizing conflicts due to stacker and reclaimer movements.
ISBN 9781479907519
Language eng
Field of Research 091099 Manufacturing Engineering not elsewhere classified
010303 Optimisation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057179

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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