A OPEN PIT MINING AÇIK OCAK MADENCİLİĞİ

23 rd
Selecting the Suitable Haulage System Using HPVS Method,
Considering Sustainable Development Concepts
M. Jamshidi, M. Osanloo
Department of Mining and Metallurgy, Amirkabir University of Technology (Tehran
Polytechnic), Tehran, Iran
ABSTRACT Transportation costs have always been a significant part of large open pit
mining capital and operating costs. It counts about 40 up to 60 percent of the total operating
cost in open pit mining. The main goal of design a haulage system is an implementation of a
plan that meets the required production requirements, operates at competitive cost, and
complies with environmental regulations. Selecting the suitable haulage system can be
considered as a MADM problem because the effective parameter are various, with different
importance. In this study, the HPVS method that uses a DEA model to produce weights
associated with each ranking place was applied to select the suitable haulage system
considering sustainable development (SD) concept. This approach was tested in Sarcheshmeh
copper mine of Iran. The result of this model shows that the combination of truck-shovel and
in-pit crusher is as the most appropriate haulage system in Sarcheshmeh copper mine.
1 INTRODUCTION
One of the main proportions of operating
cost of open pit mining is related to haulage
capital and operating costs. Currently, truck
with 360-ton capacity is running in some
open pit and some researcher give indication
to the employment of 420-ton capacity truck
(Jacek, Zaplicki, 2009). The capital cost of
truck with capacity around 300 ton reach
above 2.5 million US $. Therefore,
equipment selection is one of the most
important aspects of open pit mine planning
and design.
The purpose of equipment selection is to
select optimum size and number of
equipment with minimum cost (Osanloo,
2007).
The selection of equipment for mining
applications is not a well-defined process,
because it involves the interaction of several
subjective factors or criteria, decision on
mine equipment selection in different mines
are often complicated and may even embody
contradictions.
Different types of models have been
developed to selecting the suitable mining
equipment. Expert system as decision aid in
surface mine equipment selection was
applied by Bandopadhyay, et al.
(Bandopadhyay et al 1987) and Denby,
Schofield (Denby, Schofield 1990). Hrebar
(Hrebar 1990), Sevim and Sharma used net
present value analysis for selection of a
dragline and surface transportation system
(Sevim, Sharma 1991). Cebesoy used linear
break-even model (Cebesoy 1997). Models
for equipment selection and evaluation
described by Celebi were aimed at selection
of the equipment fleet based on minimizing
the unit stripping cost and maximizing
production (Celebi 1998). Hall et al.
illustrated how reliability analysis can
provide mine management with quantitative
information of value for decision making
about surface mining equipment (Hall et al.
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