Dynamic Short term production scheduling and machine allocation in underground mining using mathematical programming

Nehring, M., Topal, E. and Knights, P. (2010) Dynamic Short term production scheduling and machine allocation in underground mining using mathematical programming. Transactions of the Institute of Materials, Minerals and Mining, Section A: Mining Technology, 119 4: 212-220. doi:10.1179/1743286310Y.0000000001

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Author Nehring, M.
Topal, E.
Knights, P.
Title Dynamic Short term production scheduling and machine allocation in underground mining using mathematical programming
Journal name Transactions of the Institute of Materials, Minerals and Mining, Section A: Mining Technology   Check publisher's open access policy
ISSN 1474-9009
Publication date 2010-01-01
Year available 2011
Sub-type Article (original research)
DOI 10.1179/1743286310Y.0000000001
Volume 119
Issue 4
Start page 212
End page 220
Total pages 9
Place of publication Leeds, W. Yorks, United Kingdom
Publisher Maney Publishing
Language eng
Formatted abstract
Maximising value is the main objective when developing long term mine production schedules. These results provide input for the development of a short term schedule that aims to meet process plant feed requirements so as to produce a quality saleable product. This paper reviews previous work on optimised short- and long term production scheduling and real time fleet management systems. A new dynamic mathematical model using mixed integer programming is proposed to optimise short term production scheduling and machine allocation for application in sublevel stoping operations. The objective of the model is to minimise deviation from targeted metal production. The dynamic nature of the model not only optimises the shift based schedule but also allows rapid equipment reassignment to take place as underground operating conditions change. Optimal results are generated in less than 1 min when trialled on a conceptual sublevel stoping dataset. © 2010 Australian Centre for Geomechanics, The University of Western Australia.
Keyword Machine allocation
Mixed integer programming
Short term production scheduling
Underground mine optimisation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2011 Collection
 
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Created: Fri, 25 Mar 2011, 01:48:38 EST by Deanna Mahony on behalf of School of Mechanical and Mining Engineering