A demand-responsive decision support system for coal transportation

Kozan, Erhan & Liu, Shi Qiang (2012) A demand-responsive decision support system for coal transportation. Decision Support Systems, 54(1), pp. 665-680.

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Abstract

In this paper, a demand-responsive decision support system is proposed by integrating the operations of coal shipment, coal stockpiles and coal railing within a whole system. A generic and flexible scheduling optimisation methodology is developed to identify, represent, model, solve and analyse the coal transport problem in a standard and convenient way. As a result, the integrated train-stockpile-ship timetable is created and optimised for improving overall efficiency of coal transport system. A comprehensive sensitivity analysis based on extensive computational experiments is conducted to validate the proposed methodology. The mathematical proposition and proof are concluded as technical and insightful advices for industry practice. The proposed methodology provides better decision making on how to assign rail rolling-stocks and upgrade infrastructure in order to significantly improve capacity utilisation with the best resource-effectiveness ratio. The proposed decision support system with train-stockpile-ship scheduling optimisation techniques is promising to be applied in railway or mining industry, especially as a useful quantitative decision making tool on how to use more current rolling-stocks or whether to buy additional rolling-stocks for mining transportation.

Impact and interest:

9 citations in Scopus
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11 citations in Web of Science®

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ID Code: 66826
Item Type: Journal Article
Refereed: Yes
Keywords: coal train scheduling, decision support system, coal stockpiles, coal shipment, mine transportation
DOI: 10.1016/j.dss.2012.08.012
ISSN: 0167-9236
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > Mathematical Sciences
Copyright Owner: Copyright 2012 Elsevier B.V.
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Decision Support Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Decision Support Systems, [Volume 54, Issue 1, (December 2012)] DOI: 10.1016/j.dss.2012.08.012
Deposited On: 02 Feb 2014 22:58
Last Modified: 04 Jan 2016 16:59

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