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dc.contributor.authorWest, Jason
dc.contributor.editorAkimov, Alexandr
dc.date.accessioned2020-01-16T08:09:44Z
dc.date.available2020-01-16T08:09:44Z
dc.date.issued2011
dc.identifier.issn1836-8123
dc.identifier.otherRePEc:gri:fpaper:finance:201104
dc.identifier.urihttp://hdl.handle.net/10072/390355
dc.description.abstractThis paper employs a stochastic and dynamic intermediate storage model to estimate the optimal stockpile levels at both a mine and port for a coal supply chain. The optimisation model demonstrates that the principle costs incurred from high inventories of coal include working capital, storage costs and double handling costs, whilst costs incurred from low inventories are dominated by train cancellations, spot price purchases of coal to make up shortfalls and demurrage. The optimisation model allows for the dynamic interaction of cost functions across the supply chain and results in optimal inventories that are typically lower than intuitively assumed by logistics managers.
dc.format.extent15 pages
dc.languageEnglish
dc.publisherGriffith University
dc.publisher.placeBrisbane, Australia
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto15
dc.subject.keywordsG00 - Financial Economics: General
dc.subject.keywordsOptimisation
dc.subject.keywordsSupply chain
dc.title2011-04: Optimising Coal Stockpiles in a Supply Chain Using a Dynamic Cost Flow Model (Working paper)
dc.typeReport
dc.type.descriptionDiscussion Paper
gro.facultyGriffith Business School
gro.description.notepublicFinance
gro.rights.copyrightCopyright © 2010 by author(s). No part of this paper may be reproduced in any form, or stored in a retrieval system, without prior permission of the author(s).
gro.date.issued2011
gro.hasfulltextFull Text
gro.griffith.authorWest, Jason


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