2009
DOI: 10.3182/20090705-4-sf-2005.00038
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A near optimal hoist scheduling for deep level mine rock winders

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Cited by 2 publications
(3 citation statements)
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“…In contrast to existing studies, the rock winder problem presented in this paper applies the above mentioned techniques in a mining environment with the added requirement of an integer solution to the optimised scheduling problem. The formulation of the rock winder problem into a constrained integer linear programming model along with a solution methodology using an adapted Branch and Bound methodology without feedback control was first introduced in [18]. The reformulation of the problem in [18] for application in a MPC algorithm has been presented in [19].…”
Section: Literature Researchmentioning
confidence: 99%
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“…In contrast to existing studies, the rock winder problem presented in this paper applies the above mentioned techniques in a mining environment with the added requirement of an integer solution to the optimised scheduling problem. The formulation of the rock winder problem into a constrained integer linear programming model along with a solution methodology using an adapted Branch and Bound methodology without feedback control was first introduced in [18]. The reformulation of the problem in [18] for application in a MPC algorithm has been presented in [19].…”
Section: Literature Researchmentioning
confidence: 99%
“…The formulation of the rock winder problem into a constrained integer linear programming model along with a solution methodology using an adapted Branch and Bound methodology without feedback control was first introduced in [18]. The reformulation of the problem in [18] for application in a MPC algorithm has been presented in [19]. These two papers provide preliminary results for the complete and concise formulation of the study presented in this paper in which the adapted Branch and Bound methodology is incorporated within a MPC algorithm to obtain a near optimal hoist schedule for a twin rock winder system.…”
Section: Literature Researchmentioning
confidence: 99%
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