Application of Queuing Theory to Larfarge Cement
Transportation System for Truck/Loader Optimazation by Afeni Thomas B in
Aspects in Mining & Mineral Science: Crimson Publishers-journal of Mining& Mineral Science
Surface mining is the most common mining method
worldwide; open pit mining accounts for more than 60% of all surface output.
This project uses queuing technique to optimize the transportation at Lafarge
WAPCO (Sagamu plant) Nigeria. Queuing theory was developed to model systems
that provide service for randomly arising demands and predict the behaviour of
such systems. Time of arrival at excavator area (hr/min/sec), time of first
load by excavator into the truck (hr/min/sec), number of loads, time of
departure from the excavator (hr/min/sec) and time taken to load trucks gotten
from the Lafarge (Sagamu plant) was analysed to develop a model M/M/1:
FCFS/∞/∞, based on the assumption of single channel and single server with
infinite number of queues. The model was used to calculate the arrival rate,
service rate and number of server which at the end of it gives 7turcks/hour,
21trucks/hour and 1loader respectively. @risk software was used to fit both
service and inter-arrival into exponential distribution. The result shows that
as the size of the haulage truck being used increases, shovel productivity
increases and truck productivity decreases. An effective number of trucks must
be chosen that will effectively utilize idle time, increase productivity and
reduce cost of production to the barest minimum. The idle time gotten is 66.6%;
this indicates that an additional 8 to 9 trucks can be added to the company
truck fleet to make use of the idle time; since time translate to cost.
For more Open access journals in Crimson Publishers, please
click on the link: https://crimsonpublishers.com/
For more articles in Aspects in Mining & Mineral Science,
please click on below link: https://crimsonpublishers.com/amms/
No comments:
Post a Comment