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. Attached Files Name Description MIMEType Size Downloads Title An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility Author(s) Hanoun, Samer orcid.org/0000-0002-8697-1515 Khan, Burhan Johnstone, Michael orcid.org/0000-0002-3005-8911 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Doug orcid.org/0000-0002-9217-1231 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 Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 23 Oct 2013, 10:05:17 EST Thu, 24 Oct 2013, 09:57:08 EST Thu, 31 Oct 2013, 10:28:46 EST Tue, 03 Dec 2013, 16:06:48 EST Wed, 04 Dec 2013, 07:40:01 EST Thu, 15 May 2014, 09:57:51 EST Wed, 02 Jul 2014, 16:43:54 EST Fri, 17 Oct 2014, 12:25:33 EST Wed, 21 Oct 2015, 14:53:04 EST Wed, 21 Oct 2015, 18:24:23 EST Filtered Full Citation counts:   Cited 11 times in TR Web of Science Cited 13 times in Scopus Search Google Scholar Access Statistics: 697 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 23 Oct 2013, 10:05:17 EST

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