Truck allocation model using linear programming and queueing theory

Sahoo, Soubhagya (2012) Truck allocation model using linear programming and queueing theory. BTech thesis.



Truck-Shovel is the most common means used for transportation of ore/waste in surface mining operations, but it is the most costly unit procedure in a truck-shovel mining system. The present advancement in computing technology offers the potential of refining truck-shovel productivity and consequent savings. Introducing a truck allocation model in a mine can attain operational improvements by decreasing waiting times and achieve other benefits through enhanced optimal routing and grade control. The efficiency of the working truck-shovel fleet is determined by the allocation model in use, the complexity of the truck shovel system and a multiplicity of other variables. In maximum cases computer simulation is the most applicable and operational method of comparing the different allocation approaches.
A model is presented here to minimize the number of trucks allocated to a set of shovels, considering throughput and ore grade constraints. A nonlinear relation between a shovel’s throughput and the number of trucks allocated to the shovel using queueing theory and linear programming is being established. It is assumed that each shovel is allocated a single truck size. Different linear programming methods are being suggested to optimize the constraints.

Item Type:Thesis (BTech)
Uncontrolled Keywords:truck allocation,queuing theory,productivity
Subjects:Engineering and Technology > Mining Engineering > Open Cast Mining
Divisions: Engineering and Technology > Department of Mining Engineering
ID Code:3209
Deposited On:10 May 2012 21:01
Last Modified:10 May 2012 21:01
Supervisor(s):Pal, B K

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