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Factors Influencing the Economic Results of Quarries

Abstract

Human prosperity is closely linked to the availability of raw material resources, among other things. Despite enormous technological progress, we cannot dispense with mineral extraction. Since the mining industry still represents a key sector for society, striving for keeping abreast of the best practices, technologies, and knowledge available in the field is crucial. Benchmarking can serve this purpose, as it is already widely used in other industries. However, the question arises of what specific benchmarks are key for this field. The aim of this paper is, therefore, to highlight critical benchmarks relevant to monitoring and evaluating mining capacities. These have been identified by analysing the financial performance of specific mining operations.

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Factors Influencing the Economic Results of Quarries

Author: Pitřík, Jakub
Publisher: Vysoká škola báňská - Technická univerzita Ostrava
Year: 2023
DOI: 10.35180/gse-2023-0088
Source: https://dspace.vsb.cz/bitstreams/91b9cebc-cee5-4561-8751-9ae25cf0ffcb/download
GeoScience Enginee ing Vol. 69 (2023), No. 1
geoscience.cz pp. 46–55, ISSN 1802-5420
DOI 10.35180/gse-2023-0088
FACTORS INFLUENCING THE ECONOMIC RESULTS OF QUARRIES
Jakub PITŘÍK
VSB – Technical Uni e si y o Os a a, Facul y o Mining and Geology,
Depa men o Economics and Con ol Sys ems, Os a a, Czech Republic
E-mail: [email p o ec ed]
ABSTRACT
Human p ospe i y is closely linked o he a ailabili y o aw ma e ial esou ces, among o he hings. Despi e
eno mous echnological p og ess, we canno dispense wi h mine al ex ac ion. Since he mining indus y s ill
ep esen s a key sec o o socie y, s i ing o keeping ab eas o he bes p ac ices, echnologies, and knowledge
a ailable in he ield is c ucial. Benchma king can se e his pu pose, as i is al eady widely used in o he
indus ies. Howe e , he ques ion a ises o wha speci ic benchma ks a e key o his ield. The aim o his pape
is, he e o e, o highligh c i ical benchma ks ele an o moni o ing and e alua ing mining capaci ies. These ha e
been iden i ied by analysing he inancial pe o mance o speci ic mining ope a ions.
Keywo ds: Benchma king; Disc iminan analysis, Financial esul ; Qua ying.
1 INTRODUCTION
Despi e a numbe o speci ics ypical o mining ac i i ies, mine al ex ac ion ep esen s a classic business p ocess.
In e ms o he de ini ion o he en ep eneu ial p ocess, some cha ac e is ics link en ep eneu ship o he pu sui
o posi i e change in he wo ld a ound us [1]. Howe e , he as majo i y o in e p e a ions a e associa ed wi h
economic gain [2,3]. De ini ions also include concep s such as alue c ea ion, weal h, e u n, ewa d, and p o i
ela ed o he p oduc ion o goods o se ices in pa icula p ojec s. The inancial e alua ion o p ojec s ocuses
on he comme cial en i onmen in which he objec i e is o in es in a p ojec in such a way ha , when comple ed,
i will p oduce alues ha e u n he in es men made and also p oduce esou ces ha can be used o de elop he
i m u he [4]. One o he me hods ha can help a company in i s de elopmen is benchma king. Benchma king
is unde s ood o be a ool ha has been success ully used since he 1970s. Since hen, his me hod has sp ead no
only o he ield o p oduc design and p oduc ion, compu e echnology, and elec onics bu also o he ield o
indus y o se ices o e ed, and nowadays, i is one o he key ins umen s o he op and middle managemen o
many companies in almos all sec o s [5].
Howe e , when benchma king mining companies, i is necessa y o conside mine al ex ac ion is a complica ed
and b oad issue.
The managemen o mining companies canno in luence he na u al condi ions o he deposi ha can signi ican ly
a ec hei p o i s [6]. We also encoun e many o he a iables when compa ing di e en si es. Cu en ly, he
numbe o mining companies ope a ing in he Czech Republic amoun s o 206 (2020). In o al, mo e han 12 ypes
o mine als a e mined domes ically. These a e, in pa icula , cons uc ion aw ma e ials, limes one, kaolin,
gypsum, oil, na u al gas, ha d coal, ligni e, e c. [7]. Each deposi is speci ic in i s own way and is cha ac e ized by
unique geological condi ions o s ockpiles. This logically de ines he ex ac ion me hods and echnologies used,
which may also be di e en . In addi ion, he mine al esou ce mined wi hin a gi en deposi de e mines how
p o i able he deposi will be. Poli ical decisions, en i onmen al p o ec ion, he s a e o he economy, and o he
ex e nal ac o s also a ec he ex ac ion and sales o aw ma e ials. These can ha e a eal impac on he quan i y
o p oduc ion and he p ice o he mine al on he ma ke . Fo example, al hough mine al ex ac ion is c ucial o
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DOI 10.35180/gse-2023-0088
he ene gy sec o , i mus mee he equi emen s o he ee ma ke [8]. Ano he ac making i di icul o compa e
mining companies wi h each o he is hei size. The e a e deposi s whose mining igh s a e owned by mul i-na ional
conce ns bu also by p i a e indi iduals. Al hough Hakim and Naelu a [9], in hei i e-yea s udy on he
en e p ise size e ec on company p o i s, concluded ha company size does no always ha e a decisi e in luence
on p o i s, indi idual mining si es can be a ec ed by his ac o . Pa icula ly in he case o la ge conce ns, he
po olio may include loss-making si es which hey, ne e heless, wan o keep ( he eason o subsidising a loss-
making si e may be, o example, he desi e o p oduce a ce ain ange o quali y, he s a egic impo ance o he
aw ma e ial o he u u e, e c.). A numbe o si es, he e o e, ope a e wi h nega i e inancial esul s o a long
ime. I s p os and cons a e discussed by Ga dne [10] who poin s ou ha de ici managemen is qui e common
wi hin na ional go e nmen s, o example, and in some cases, we can see his phenomenon e en in e y success ul
companies. Thus, hese ac s may also a ec he compa ison o indi idual deposi s and hei p o i s. I can,
subsequen ly, be concluded ha he issue o benchma king mining companies agains each o he is made
pa icula ly di icul by he g ea di e si y o mining op ions, me hods, and echnology. Hence, in he con ex o
benchma king mining companies, i is c ucial o iden i y which speci ic benchma ks among he as numbe o
a iables a e sui able o comp ehensi e moni o ing and compa ison and which would de e mine whe he a gi en
mining capaci y will gene a e p o i o loss. Financial pe o mance is pa icula ly use ul o ack and compa e
because i has a di ec impac on he su i al o he company [11].
2 ANALYSIS PROCEDURE
1. Fi s ly, i is necessa y o de ine hypo heses. The i s hypo hesis: The e a e some ac o s sui able o
complex moni o ing and compa ison o mining companies. The second hypo hesis: These ac o s a e
s a is ically e i iable.
2. Secondly, a da abase o 52 qua ies wi h uni o mly s a ed accoun ing o he pe iod o 2017–2019
was c ea ed ( his pe iod was chosen due o s able economic condi ions). Eu o was used as a cu ency
uni in all moni o ed ope a ions.
3. The esul s o ope a ions, de e mined as he di e ence be ween all e enues and expenses in each
ope a ion, we e anked in ascending o de . They we e hen so ed in o 4 qua iles. The bo om
qua ile Q1 con ained inancial esul s anging om EUR 3 347/yea o EUR 31 943/yea . The uppe
qua ile Q4 con ained esul s anging om EUR 226 069/yea o EUR 1 337 687/yea .
4. The epo ed indica o s we e aken om he accoun ing and s a is ical da a o he indi idual qua ies,
om which he a e age alues we e hen calcula ed o compa ison o he wo qua iles, bo h in
absolu e and ela i e e ms. The p o i and loss and he change in in en o ies we e compa ed in
absolu e e ms, while he indi idual indica o s in he ield o e enue and cos s we e measu ed in
ela i e e ms, as absolu e alues a e no meaning ul he e, gi en he di e en p oduc ion o he
indi idual qua ies.
5. The nex s ep in he p ocedu e was o de e mine he s a is ically signi ican di e ences be ween he
alues o indica o s o he qua iles Q1 and Q4 shown in Table 1, by es ing he s a is ical signi icance
o he di e ences in he a e age alues o Q1 and Q4 con ained in Table 1. The p opo ions o aw
ma e ials ex ac ed in he Q1 and Q4 qua y mix and he p ices o each aw ma e ial a e shown in
G aphs 1 o 4.
Table 1. A e age indica o alues in qua iles Q1 and Q4
Indica o
Q1
Q4
Financial pe o mance (EUR)
9 757
724 634
Mining ( )
91 202
534 865
Re enue pe p oduc (EUR/ onne)
6.09
6.26
To al sales (EUR/ onne)
7.00
7.12
Change in in en o ies (EUR)
3 546
–23 574
D illing and blas ing (EUR/ )
0.85
0.62
Diesel, lub ican s, oils (EUR/ onne)
0.34
0.25
Elec ici y (EUR/ onne)
0.17
0.29
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Repai s (EUR/ onne)
0.40
0.56
Subcon ac o cos (EUR/ onne)
0.27
0.90
Labou cos (EUR/ onne)
0.91
0.62
Wages (EUR/ onne)
0,21
0.14
Se ices (EUR/ onne)
0.51
0.26
O e head (EUR/ onne)
0.40
0.36
Machine y cos (EUR/ onne)
0.60
1.85
P ope y cos (EUR/ onne)
0.11
0.21
O he cos s (EUR/ onne)
0.06
0.10
O e bu den (EUR/ )
0.05
0.00
Win e epai und (EUR/ onne)
0.01
–0.02
Deposi a iable (EUR/ onne)
0.01
0.10
Insu ance, axes (EUR/ onne)
0.06
0.13
Ma e ial es s (EUR/ )
0.10
0.06
Reclama ion und (EUR/ onne)
–0.01
0.03
Deposi ixed (EUR/ onne)
0.01
0.10
Sha e o p oduc sales in o al sales
0.905
0.922
Figu e 1. P oduc ange o Q4 qua ies
15.1
29.5
0
11.5
35.5
5.4
0.05
2.9
0
5
10
15
20
25
30
35
40
sand coa se sand g a el,
c ushed
s one
g a el g anula ed
mix u es qua y s one s one dus o he
p oduc s
P opo ion in he p oduc ange [%]
P oduc ange i ems
P oduc ange o Q4 qua ies
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Figu e 2. A e age p ices o Q4 p oduc s
Figu e 3. P oduc ange o Q1 qua ies
3.72
9.29
0
7.87
4.81
5.43
4.25
1.79
0
1
2
3
4
5
6
7
8
9
10
sand coa se sand g a el,
c ushed
s one
g a el g anula ed
mix u es qua y s one s one dus o he
p oduc s
A e age p ice [Eu / ]
P oduc ange i ems
A e age p ices o Q4 qua y p oduc s
6.1
17.4
0.02
22.7
46.5
2.4
2.0
2.9
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
45,0
50,0
sand coa se sand g a el,
c ushed
s one
g a el g anula ed
mix u es qua y s one s one dus o he
p oduc s
P opo ion in he p oduc ange [%]
P oduc ange i ems
P oduc ange o Q1 qua ies
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Figu e 3. A e age p ices o Q1 qua y p oduc s
In conclusion, he ollowing i ems can be conside ed as indica o s showing s a is ically signi ican di e ences
be ween he qua ies included in qua iles Q1 and Q4:
1. sales o g anula ed mix u es pe 1 onne o p oduc ion
2. machine y cos pe 1 onne o p oduc ion
3. d illing and blas ing cos s pe 1 onne o p oduc ion
4. subcon ac o cos pe 1 onne o p oduc ion
5. elec ici y cos pe 1 onne o p oduc ion
6. cos o diesel, lub ican s, and oils pe 1 onne o p oduc ion
Uni cos s and uni p ices a e included in Table 2 below.
Table 2. A e age alues in Q1 and Q4 sou ce
Indica o
A e age alue in Q1
A e age alue in Q4
p ice o g anula ed mix u e/
5.92
4.81
machine y cos /
1.72
0.60
d illing and blas ing/
0.84
0.63
subcon ac o cos /
0.25
0.83
elec ici y cos /
0.15
0.29
cos o diesel, lub ican s, and oils/
0.33
0.24
Based on hese indica o s, he qua ies we e di ided in o wo g oups, namely qua ies wi h poo and s ong
inancial pe o mance. Fo his pu pose, a disc iminan analysis was applied. The p ocedu e o conduc ing he
disc iminan analysis is gi en by Hindls [12]. Ramayah [13] also p o ides an illus a ed p ocedu e on his issue.
4.38
9.18
8.70
7.20
5.92
6.39
5.31
3.29
0,00
1,00
2,00
3,00
4,00
5,00
6,00
7,00
8,00
9,00
10,00
sand coa se
sand g a el,
c ushed
s one
g a el g anula ed
mix u es qua y
s one s one dus o he
p oduc s
A e age p ice [Eu / ]
P oduc ange i ems
A e age p ices o Q1 qua y p oduc s

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A linea disc iminan analysis was applied o he se o qua ies in o de o di ide hem in o wo g oups acco ding
o he esul o he inancial pe o mance. Each qua y was cha ac e ized using he a ios om Table 3. The
di e en classes we e deno ed as Q1 and Q4, whe eby:
• Class Q1: qua ies wi h a inancial esul less han o equal o he lowe qua ile.
• Class Q4: qua ies wi h a inancial esul g ea e han o equal o he uppe qua ile.
In o de o di ide hese g oups, i was necessa y o ind a linea disc iminan unc ion by which he ac u es could
be so ed.
The classi ica ion o indi idual ac u es in o g oups Q4 and Q1 is based on he alue o he linea disc iminan
unc ion o he pa icula ac u e. I his alue is g ea e han C, he ac u e can be assigned o g oup Q4. I he
alue o he linea disc iminan unc ion is less han C, he ac u e is assigned o g oup Q1.
In he case o he analysed company, he e we e 13 qua ies in each Q1 and Q4 class. The alue o he op imum
h eshold poin was de e mined as C=–5.322.
Conside ing he alue o he op imal h eshold poin , he alue o he linea disc iminan unc ion mus be g ea e
han –5.322 o a pa icula qua y o be classi ied in class Q4 (i.e., wi h he highes alues o he inancial
pe o mance). Fo his le el o be ans o med, conside ing speci ic coe icien s, he linea disc iminan unc ion
mus be:
• as low as possible:
o alues o d illing and blas ing cos s pe onne,
o machine y cos pe onne,
o subcon ac o cos pe onne,
o cos o diesel, lub ican s, and oils pe onne.
Since he coe icien s o he linea disc iminan unc ion o hese a ios a e nega i e and educe he alue o he
disc iminan unc ion, o be classi ied as Q4 hey mus also be:
• as high as possible:
o p ice alues pe onne o g anula ed mix u es,
o alues o elec ici y cos pe onne as he coe icien s o he linea disc iminan unc ion o hese
a ios a e posi i e and inc ease he alue o he linea disc iminan unc ion.
Howe e , his conside a ion was pu ely ma hema ical.
2.1 Disc iminan analysis esul s
The se o qua ies showing he bes inancial esul s (Q4) and, a he same ime, he qua ies wi h he wo s (bu
posi i e) esul s (Q1) was combined and di ided in o wo g oups acco ding o he amoun o inancial pe o mance.
These g oups we e again labelled Q1 and Q4. The a iables men ioned abo e we e used as p opo ional indica o s
cha ac e ising he indi idual qua ies, i.e., disc imina o s:
• X1 – a e age d illing and blas ing cos s pe onne o p oduc ion,
• X2 – a e age machine y cos pe onne o p oduc ion,
• X3 – a e age p ice o 1 onne o g anula ed mix u es,
• X4 – a e age subcon ac o cos pe onne o p oduc ion,
• X5 – a e age cos o elec ici y pe onne o p oduc ion,
• X6 – a e age cos o diesel, lub ican s, and oils pe onne o p oduc ion.
The esul compa ison o he qua ies di ision and he o iginal wo se s led o he ollowing ou comes in e ms o
inclusion success:
Table 3. Success ul and ailed classi ica ion
G oup o qua ies
Success ul classi ica ion
Failed classi ica ion
Q1
84.62 %
15.38 %
Q4
92.31 %
7.69 %
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Table 3 shows ha he success a e o he qua ies classi ica ion in e ms o he achie ed inancial ou comes anged
om app oxima ely 85 o 92 %. I can he e o e be concluded ha he six disc imina o s can be used o classi y
qua ies ega ding he accomplished inancial esul alues. Based on his ac , i can be concluded ha he i s
and second hypo heses can be e i ied.
2.2 Qua y so ing pa ame e s
The analysed company owns a numbe o qua ies which a e classi ied based on hei inancial pe o mance,
p oduc ion capaci y, equipmen , and eal p oduc ion le els in o ca ego ies 1, 2, 3, and 4. The qua ies in ca ego y
1 a e conside ed he ‘ca ie ’ qua ies o he mining company, ca ego y 2 pe o ms wo se, and ca ego y 3 shows
he wo s inancial pe o mance and is also he leas impo an o he analysed company. Ca ego y 4 comp ises
empo a ily idle qua ies.
Ca ego y 1 includes he la ges qua ies wi h su icien ese es, no con lic s o in e es o be esol ed, qua ies
wi h quali y ex ac ed ock in e ms o echnological pa ame e s and usabili y, and a s a iona y echnology powe ed
by elec ici y. They a e no loca ed close o se lemen s ha would limi he ex en o blas ing o lead o he need
o dus disposal and ha e accessible anspo in as uc u e. In many cases, hey ha e he ad an age o close
p oximi y o la ge-scale de elopmen s (e.g., anspo in as uc u e), which s abilises la ge supplies o mined
ma e ial o longe pe iods.
Ca ego y 3 con ains small qua ies wi h lowe p oduc ion, employing usually obsole e po able diesel-powe ed
p oduc ion lines. They a e close o popula ion cen es, which limi s bo h he scale o blas ing and he
anspo a ion op ions de e mined by he EIA (En i onmen al Impac Assessmen ). The sales do no co e he ull
ange o he p oduc po olio, a e di ec ed o sho e dis ances, and do no ha e he ad an age o la ge
de elopmen s in close p oximi y. I o en p oduces g anula mix u es o 0–63 mm, whe e he quali y equi emen s
a e no high, and which la ge qua ies dispose o e en a below cos in o de o ee up s ock a eas and no o ha e
o s o e hem.
In his con ex , he ques ion a ises as o why he analysed company holds ca ego y 3 qua ies in i s po olio:
• Wi h he cu en a i ude o he public, ac i is s, and en i onmen al au ho i ies, i is ex emely di icul o
expand mining capaci y, le alone open a comple ely new mining ope a ion ha could be included in a
mo e p o i able ca ego y and be mo e cos -e ec i e, easie , and mo e p o i able o ope a e.
Classi ica ion is no pe manen and, in some espec s, a change in ex e nal condi ions may cause a qua y o be
eclassi ied, depending on he na ow p o iles o he qua y. The bo lenecks ha limi he size o he qua y, i s
p oduc ion, and sales can be ca ego ised as ollows:
• Mining: in en o y, quali y, s o age, he olume o he o e bu den
• P oduc ion: ype o p ocess line, i s age, loca ion (posi ion)
• Sales: demand in p oximi y, p esence o la ge buildings
• Economic: selling p ices, cos s
The espec i e limi a ion hen de e mines he size o sales, p oduc ion, and inancial pe o mance. In many cases,
he bo leneck esul s om na u al condi ions and is in a iable. Sales and inancial ac o s may change o e ime
and hus con ibu e o a shi o ca ego y 1 (e.g., highe sales when a majo cons uc ion p ojec is s a ed in
p oximi y o he qua y), bu also ice e sa (lowe sales due o he comple ion o a majo cons uc ion p ojec ,
lowe sales due o lowe p oduc ion caused by a lack o in en o y o he ex ac ed aw ma e ial).
F om his poin o iew, we can hen e alua e he a ios (disc iminan s) which showed s a is ically signi ican
di e ences in hei mean alues in he Q1 and Q4 g oups:
A e age d illing and blas ing cos s pe onne: smalle qua ies (Q1 ca ego y) epo highe ixed cos s associa ed
wi h he anspo and ins alla ion o d illing and blas ing equipmen , as hese ac i i ies ha e o be ca ied ou mo e
equen ly due o he pe mi ed ex en o blas ing (p oximi y o he illage). Seconda y disconnec ion o en has o
be implemen ed. The lowe p oduc ion hen inc eases he p opo ion o ixed cos s pe onne o p oduc ion.
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A e age cos o machine y pe onne: his is mainly dep ecia ion in he o m o in e nal leases o machine y
and an in e es a e o hal he cos o he machine o e he dep ecia ion calcula ion pe iod. These a e he e o e
ixed cos s which, when di ided by he low p oduc ion olume, lead o highe qua y alues in he Q1 ca ego y
compa ed o he Q4 g oup.
A e age p ice pe 1 onne o g anula ed mix u es: p oduc po olio includes:
• ine agg ega es: he mos sui able p oduc , includes he 4/8 ac ion (agg ega e g ains om 4 o 8 mm),
he 8/11; 8/16; 2/4; 11/22;11/16 ac ions, up o 4 mm so-called sand, abo e 4 mm coa se sand. Fine
agg ega es equi e he mos s ingen quali y measu es.
• agg ega e mix u es: comp ise g ains om 0 o a ce ain limi , e.g., 32 o 63 mm, used as ma e ial o oad
bodies, embankmen s, e c. G anula ed mix u es 0/63 p esen lowe quali y equi emen s, p oduced by
qua ies in ca ego y Q1.
• ailway sands and g a els: hese a e ac ions 16/32 and 32/63 wi h highe quali y equi emen s
• o he p oduc s: e.g., qua y s one o s eng hening i e beds, building gabion walls, e c.
G anula mixes a e o en p oduced om o e bu den by qua ies in he Q4 g oup, usually in la ge olumes. They
ake up s o age space, and qua ies y o sell hem a o e en below cos o gain access o he highe -quali y pa s
o he deposi . They do no pose such a p oblem o he smalle qua ies in he Q4 g oup, hus achie ing highe
p ices.
A e age cos pe subcon ac o : his is he cos o elemen a y echnological anspo and qua y cleaning. Cos s
associa ed wi h d illing and blas ing a e shown sepa a ely. Some o he subcon ac o cos s a e ixed ( anspo ,
o e heads).
A e age elec ici y cos s pe onne: linked o he p opulsion o he s a iona y p ocess lines ha a e ins alled a
he qua ies in he Q4 g oup.
A e age cos o diesel, lub ican s, and oils pe onne: ela ed o he p opulsion o he po able p ocess lines
ins alled a he qua ies in he Q1 g oup.
2.3 Disc iminan analysis conclusion
Benchma king should basically show wha goal a pa icula company should accomplish o mo e om i s posi ion
owa d he bes in he indus y. In his case, he ques ion can be asked wha esul a speci ic qua y should achie e
o mo e om he Q1 o he Q4 g oup. F om a pu ely ma hema ical poin o iew, placing a qua y in a highe
g oup equi es aising he alue o he disc iminan unc ion abo e he op imal h eshold. Wi h espec o he linea
disc iminan unc ion equa ion, his means ha he disc imina o alues o he coe icien s wi h a posi i e sign
should be maximized and he disc imina o alues o he coe icien s wi h a nega i e sign minimized o inc ease
he alue o he linea disc iminan unc ion o a pa icula mining ope a ion. This means ha o ans e he qua y
om Q1 upwa ds, he alues o he disc imina o s should be changed as ollows:
• Reduce:
o Uni d illing and blas ing cos s
o Uni machine y cos
o Uni subcon ac o cos
o Uni cos s o diesel, lub ican s, and oils
• Inc ease:
o P ice pe uni o g anula ed mix u es
o Uni elec ici y cos
App oaching his ma e ial equi emen om a subs an i e poin o iew, we can s a e:
• The uni d illing and blas ing cos s can be educed by inc eased p oduc ion o dissol e he ixed cos s
associa ed wi h d illing and blas ing.
• The uni machine y cos can only be dec eased by a p oduc ion add-on o dissol e hese ixed cos s.
• The uni subcon ac o cos can be cu down by inc eased p oduc ion o dissol e ixed cos i ems.
54
GeoScience Enginee ing Vol. 69 (2023), No. 1
geoscience.cz pp. 46–55, ISSN 1802-5420
DOI 10.35180/gse-2023-0088
• In gene al, he cos s o diesel, lub ican s, and oils canno be educed as hey p esen a iable cos s
associa ed wi h po able p ocess lines. Con e ing o s a iona y elec ically d i en p ocess lines would
inc ease he cos o machine y d ama ically.
• I is e y di icul o inc ease he p ices o g anula ed mix u es because i is an o e supplied and no e y
high-quali y p oduc .
• The uni elec ici y cos also canno be subs an ially educed, as i is no possible o eplace he diesel-
powe ed po able lines wi h he s a iona y elec ici y lines ha a e a he Q4 qua ies.
F om a subs an i e poin o iew, he qua ies in he Q1 g oup ha e a na ow sales p o ile – an inc ease in demand
and a co esponding inc ease in p oduc ion. Howe e , a qua y can ba ely in luence his ex e nal ac o . The qua y
can a he moni o cons uc ion in en ions a ound a pa icula si e and ensu e a supply ha will lead o an inc ease
in p oduc ion. Ne e heless, one mus also assume ha he cons ain s o he EIA (En i onmen al Impac
Assessmen ) and local go e nmen will be esol ed. The mix o e y success ul, a e age, and unsuccess ul
qua ies will he e o e emain in he u u e, al hough possible shi s be ween g oups and ca ego ies can be
en isaged.
CONCLUSION
The pape iden i ies benchma ks ha a e sui able o he comp ehensi e moni o ing and e alua ion o mining
companies wi h espec o hei inancial pe o mance. Fo his pu pose, a disc iminan analysis (using da a
p o ided by an anonymised mining company) was conduc ed and e alua ed. The analysis shows ha he key
benchma ks o his ield comp ise uni d illing and blas ing cos s, uni machine y cos , uni subcon ac o cos ,
uni cos s o diesel, lub ican s, and oils, uni cos s o g anula ed mix u es, and uni elec ici y cos s. A he same
ime, i was ound ha he mining ope a ions ha pe o med be e had lowe uni d illing and blas ing cos s, uni
machine y cos , uni subcon ac o cos , uni cos s o diesel, lub ican s, and oils, and, con e sely, highe uni cos s
o g anula ed mix u es and uni elec ici y cos s. Thus, he s udy shows ha a qua y wi h s ong inancial
pe o mance exhibi s he ollowing ea u es. Gi en he complexi y o he issue o benchma king mining
companies, i is no possible o de i e a single ecommenda ion ha can ensu e qua y success, as many ac o s
canno be con olled. These a e mainly he na u al pa ame e s o he deposi , he ma ke p ice o he ex ac ed aw
ma e ial, he in en o y size, anspo in as uc u e, e c. I is also impossible o de ine exac ly wha alue should
be gi en o he benchma k speci ied in he analysis as c ucial, because each qua y is di e en , hei compa ison
is oo complica ed, and any ecommended alue would, he e o e, only be sui able o an ex emely small g oup
o qua ies wi h exac ly same condi ions (which is un hinkable in p ac ice). Ne e heless, i is easible o de e mine
whe he o inc ease o dec ease he a o emen ioned benchma ks.
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