equipment metrics and benchmarking - map your sho metrics...learn about the complexities of metrics...
TRANSCRIPT
1 1
Session W46
WEDNESDAY MARCH 5, 2014. 8:30 - 9:30am
Learn about the complexities of metrics and benchmarking
in the world of equipment management where few
universal definitions, norms and standards exist.
C.E.M.P. Central Inc.
Mike Vorster. CEMPCENTRAL, Inc . [email protected]
www.cempcentral.com
www.conexpoconagg.com
Equipment Metrics and
Benchmarking
2 2
How do we define norms and standards.
How do we measure success.
Equipment Metrics and
Benchmarking
3 3
Chapter 9 Performance Measures
Chapter 12 Budgets and Budgeting
To confirm what we will say and for more
details:
www.cempcentral.com
Equipment Metrics and
Benchmarking
4 4
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
5 5
1. Standards
100,000$
Less Direct Job costs
Labor 45,000$
Equipment 18,000$
Materials 15,000$
Sub contractors 5,000$
Job indirect 2,000$
Total 85,000$
Profit on operations 15,000$
Equipment costs
Depreciation 4,600$
Leases, loans 2,300$
Lisc insurance, tax 1,000$
Owning costs 7,900$
Labor 3,300$
Parts and supplies 3,700$
Fuel 5,000$
Operating costs 12,000$
1,000$
20,900$
1,200$
19,700$
18,000$
(1,700)$
13,300$
SG&A Costs
Estimating and job planning 4,000$
Human Resources 1,125$
Administration 900$
Facilities 1,100$
Finance 800$
7,925$
Operating Income 5,375$
Other income and expenses 1,500$
Nett income before tax 6,875$
Tax due 3,555$
Income after tax. 3,320$
Revenue
Total equipment costs
Equipment charged to jobs
Gain/(loss) on sale
Gross profit from operations
Total equipment costs
Total SG&A
Un recovered equipment costs
Equipment indirectGenerally Accepted Accounting Principles.
International Accounting Standards Board
Financial Accounting Standards Board
Who sets their standards
Who sets our standards
6 6
1. Standards
Or, are we all very, very different.
Corporate
Business Unit
A
1 2
Business Unit
B
3 4
Business Unit
C
5 6
B AV A
Equipment
Group
Corporate
Business Unit
A
Business Unit
C
Business Unit
B
1 2 3 4 5 6
Equipment
Business Unit
B AV A
Everyone does it differently
Everyone has different requirements.
Corporate
Business Unit
C
Business Unit
B
1 2 3 4 5 6
Business Unit
A
B AV A
7 7
1. Standards
Or, are we all very, very different.
Everyone does it differently
Everyone has different requirements.
8 8
Scope of benchmarking group
Advantages Disadvantages
Internal to a company or business unit.
Definition of data and metrics is consistent and directly relevant.
Lack of input from others. Concern about industry standards and trends.
Among a select group of peer organizations.
Are able to compare best practices and measure performance within the peer group.
Data and metrics must be agreed within the group. Equipment applications and working environments may differ.
Across the industry as a whole. Large comparative data set. The comfort of knowing and having an “industry standard.”
Data, metrics, applications and environments can vary to the extent that results have little value.
Figure 9.1 Companies can benchmark internally, within a peer group or across the industry as a whole.
1. Standards
P 148
9 9
Without data you can do nothing
– Data is to information as bricks are to a house
– Data are the materials from which you build your house
– Know what you want and collect it
– Keep it simple
– Do it thoroughly
2. Data and information
10 10
Do we reason with data or do we
reason with rules ?
DATA DRIVEN RULES
We reason with data driven rules.
We need to use our data to
1. Set the rules
2. Calibrate the rules
3. Trigger action
2. Data and information
11 11
Experience &
Observation
(Intuition)
Data & Information
(Analysis)
Decisions
Do we use Intuition or Analysis
Rules
2. Data and information
12 12
Most systems are designed
to run “the business”
What about “our business”
Core modules
Application modules
Who designed them
Who built them
What about our input
2. Data and information
13 13
A picture is worth a thousand data points
Edward Tufte
2. Data and information
14 14
PLT Map• How big is the
footprint?
• How “high” is the
peak?
• What is the
variation in
payload? Load
time?
• Are we wasting
time to get the
lights to change?0 .5 -0 .6 0 .6 -0 .7 0 .7 -0 .8 0 .8 -0 .9 0 .9 -1 1 -1 .1 1 .1 -1 .2 1 .2 -1 .3 1 .3 -1 .4 1 .4 -1 .5
0 .5 -0 .7
0 .7 -0 .9
0 .9 -1 .1
1 .1 -1 .3
1 .3 -1 .5
1 .5 -1 .7
1 .7 -1 .9
1 .9 -2 .1
2 .1 -2 .3
2 .3 -2 .5
N o rm a liz e d P a y lo a d
No
rm
ali
ze
d L
oa
dT
ime
C o n to u r P lo t fo r P a y lo a d v s L o a d T im e
0 .0 0 -1 .0 0 1 .0 0 -2 .0 0 2 .0 0 -3 .0 0 3 .0 0 -4 .0 0 4 .0 0 -5 .0 0 5 .0 0 -6 .0 0 6 .0 0 -7 .0 0 7 .0 0 -8 .0 0 8 .0 0 -9 .0 0 9 .0 0 -1 0 .0 0
L ig h t a n d Q u ic k
L ig h t a n d S lo w
H e a v y a n d Q u ic k
H e a v y a n d S lo w
Payload
Lo
ad
Tim
e
.75 1.25
2.25
.75
15 15
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
16 16
Availability = Hrs capable of working / Target hours = (T- D) / T
Utilization = Hours Worked / Hrs capable of working = W /(T- D)
Target hrs, T
Hours incapable of
working when you want
it to work, D
W 1 W 2
Hours capable of
working, (T - D)
Idle D
24 hrs
What about downtime ?
3. Deployment, availability and utilization
17 17
Deployment =The time a machine is on site and required to work
The total ownership period
Availability = The time a machine is required and able to work
The time a machine is on site and required to work
Utilization = The time a machine is actually usedThe time a machine is required and able to work
Figure 9.2 presents the definitions graphically and highlights the following three periods of wasted time:
3. Deployment, availability and utilization
P 149
18 18
Figure 9.2 U, time not deployed on site, D, on-shift downtime, and I, idle time, reduce the total ownership period to a very much shorter period of effective working time.
T- DRequired and able
to work
Utilization
Availability
E Ownership period
T Target deployment on site
Deployment
Working timeW
I Standby time
D On-shift downtime
F Off-shift down time
Un-deployed “Off site” U
3. Deployment, availability and utilization
19 19
Asphalt trucks.
162,483 hours recorded for 62 units = 2,620 hours per unit.
50 hours per week for 52 weeks per year = 2,600 hours per year.
3. Deployment, availability and utilization
Total ownership period: 162,483 hours. 62 units, 50 hours per week for 52 weeks in the year
Deployed on site: 115,000 hours Off site: 115,000 hours
DownDeployed on site and available to work: 100,500 hours
Worked on site: 81,100 hours Stand by
Deployment = 115,000 ÷ 162,483 = 70.7%
Availability = 100,500 ÷ 115,000 = 87.4%
Utilization = 81,100 ÷ 100,500 = 80.6%
Overall = 81,100 ÷ 162,483 = 49.3% of a 50 hour week, 52 weeks per year.
D
A
U
20 20
3. Deployment, availability and utilization
And, what are good values:
Deployment = 70.7%
Availability = 87.4%
Utilization = 80.6%
Overall = 49.3% of a 50 hour week, 52 weeks per year.
Total ownership period: 162,483 hours. 62 units, 50 hours per week for 52 weeks in the year
Deployed on site: 115,000 hours Off site: 115,000 hours
DownDeployed on site and available to work: 100,500 hours
Worked on site: 81,100 hours Stand by
D
A
U
21 21
P 157
Activity metrics: - How active is the machine? How much is it needed and used?
Deployment = T E
Percentage of time the machine is actually deployed on site and required to work relative to the total ownership period
Utilization = W T - D
Percentage of time the machine is actually used relative to the time it is on site and able to work
Net Utilization = W T
Percentage of time the machine is actually used relative to the time it is deployed on site
Input metrics: - What resources do I use to keep the machine up and running?
Labor Factor = RMh W
Repair and maintenance labor hours spent on the machine per hour worked by the machine
Repair cost = Rpl W
Direct cost of repair parts and labor per hour worked by the machine
Output metrics: - What do I achieve through the use of these resources?
Availability = T – D T
Percentage of time the machine is able to work relative to time on site
Down Ratio = D W
The ratio of a machine’s down hours per hour worked by the machine
Reliability = V x 100 W
The frequency with which the machine breaks down and disrupts production
Data
E = Total ownership period V = Number of times a machine breaks down and disrupts production
T = Time the machine is on site and required to work
RMh = Repair and maintenance labor hours spent on the machine
D = Time the machine is down and incapable of working when it is required to work
Rpl = Direct cost of repair parts and labor spent on the machine in the period
W = Actual hours the machine worked during the period
22 22
The owning cost are, by and large, fixed.
They occur on an annual basis and the RATE is therefore very sensitive to hours worked in a given month.
The operating costs are, by and large, variable.
They occur on an hourly basis and are proportional to the hours worked. The RATE is thus not all that sensitive to utilization.
Who takes the rewards from over utilization and
who carries the risk of under utilization.
3. Deployment, availability and utilization
23 23
T = Target number of hours per month used in the rate calculation.
W = Number of hours worked in the month
$N/hr = Annual owning costs/target hours = Owning rate
$P/hr = Operating rate
Owning $N/hr
Operating $P/hr
W hrs T hrs
1. Charge ($P + $N) times W hrs - bill to job work phase codes.
2. Charge additional (T – W) times $N – debit to equipment utilization phase code.
Equipment account receives $N times T + $P times W
3. Deployment, availability and utilization
24 24
T = Target number of hours per month used in the rate calculation.
W = Number of hours worked in the month
$N/hr = Annual owning costs/target hours = Owning rate
$P/hr = Operating rate
Owning $N/hr
Operating $P/hr
T hrs W hrs
1. Charge ($P + $N) times W hrs - bill to job work phase codes.
2. Give a discount of (W – T) times $N - credit to equipment utilization phase code.
Equipment account receives $N times T + $P times W
3. Deployment, availability and utilization
25 25
T = Target number of hours per month used in the rate calculation.
W = Number of hours worked in the month
$M/mo = Annual owning costs/working months in the year (time in the shop)
$P/hr = Operating rate
Owning $M/month
Operating $P/hr
W hrs
1. Charge $M plus $P times W hrs - How do you bill M to job work phase codes.
2. Charge $P times W – bill to job work phase codes.
Equipment account receives $M + $P times W
3. Deployment, availability and utilization
26 26
And, how do you do it.
How does it affect your jobs.
How does it affect your equipment account.
Owning $N/hr
Operating $P/hr
T hrs W hrs
3. Deployment, availability and utilization
27 27
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
28 28
Actual cost relative to budget is the most widely
used benchmark.
It is a three step process
1. Establish your benchmark rates
2. Collect your actuals
3. Produce actionable information
4. Cost benchmarks
29 29
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
Calculation or Calibration
4. Cost benchmarks
Standards reflect the expectations
Actual costs reflect reality.
30 30
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
P 60
Calculation or Calibration
4. Cost benchmarks
Standards reflect the expectations
Actual costs reflect reality.
31 31
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
P 60
Calculation or Calibration
4. Cost benchmarks
Standards reflect the expectations
Actual costs reflect reality.
32 32
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
P 60
Calculation or Calibration
4. Cost benchmarks
Standards reflect the expectations
Actual costs reflect reality.
33 33
$- $40.00 $80.00 $120.00 $160.00
22-3
22-4
26-1
26-4
26-6
32-1
32-5
45-5
45-7
45-8
Rate Class
Our rate Blue Book Rate
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
Standards reflect the expectations
Actual costs reflect reality.
Calculation or Calibration – OK, HOW
4. Cost benchmarks
Why?
34 34
4. Cost benchmarks
Actual cost relative to budget is the most widely used benchmark.
It is a three step process
1. Establish your benchmark rates
2. Collect your actuals
3. Produce actionable information
It is not as easy as it sounds:
Collect actual costs – that is the easy part.
Collect the hours worked to generate the earned value budget
THAT IS THE HARD PART
35 35
Actionable information - The curse of the one liner
Hours Revenue Cost G/L Hours Revenue Cost G/L Hours Revenue Cost G/L
Z 225 7,852 392,600$ 422,016$ (29,416)$ 458 23,358$ 15,489$ 7,869$ 80 4,160$ 1,600$ 2,560$
Z 238 3200 160,000$ 227,000$ (67,000)$ 678 34,578$ 56,200$ (21,622)$ 120 6,240$ 35,000$ (28,760)$
Life to date Year to date This monthUnit
What does this all mean.
Age (too young, too old)
Utilization
Application
Operation
The so what barrier.
4. Cost benchmarks
36 36
B C D E F G H I
1 PERIOD
2 EX M
3
4
5 Budget Actual Act/Bud %
6 $13.78 3,721 $51,275 $60,200 ($8,925) $13.78 $16.18 117.4%
7 $24.97 3,721 $92,913 $88,600 $4,313 $24.97 $23.81 95.4%
8 $14.87 3,721 $55,331 $60,750 ($5,419) $14.87 $16.33 109.8%
9 $2.80 3,721 $10,419 $11,461 ($1,042) $2.80 $3.08 110.0%
10 $56.42 $209,939 $221,011 -$11,072 $56.42 $59.40 105.3%
A
G/L on
Budget
Actual
Cost
Earned
Value
Budget
Hours
Worked
Budget
Rate
Life to date EQUIPMENT COST REPORT SUMMARIZED BY PRINCIPAL COST TYPE
Rate per hour
TOTALS
Equipment Category/Class
Unit 0703
Owning costs
Operating costs
Fuel
Contribution to overhead
Generate earned value budgets for at least 4 principal cost types.
Compare these with actual costs in each principal cost type.
Look deeper. Understand the variances. Act to rectify.
P 212
4. Cost benchmarks
37 37
Generate earned value budgets for at least 4 principal cost types.
Compare these with actual costs in each principal cost type.
Look deeper. Understand the variances. Act to rectify.
P 213
4. Cost benchmarks
Figure 12.6 A concise standardized and well understood cost report facilitates a review of budget performance. It should give dollar values to show the magnitude of the issues as well as hourly
rates.
B C D E F G H I
1
2 EX M PERIOD
3
Budget Actual Act/Bud %
5 $13.78 3,721 $51,275 $60,200 ($8,925) $13.78 $16.18 117.4%
6 $24.97 3,721 $92,913 $88,600 $4,313 $24.97 $23.81 95.4%
7 $14.87 3,721 $55,331 $60,750 ($5,419) $14.87 $16.33 109.8%
8 $2.80 3,721 $10,419 $11,461 ($1,042) $2.80 $3.08 110.0%
9 $56.42 $209,939 $221,011 ($11,072) $56.42 $59.40 105.3%
4
Life to date
Rate per hour
Owning costs
Operating costs
Fuel
Contribution to overhead
Actual CostG/L on
Budget
TOTALS
Budget
Rate
Hours
Worked
Earned
Value Budget
A
EQUIPMENT COST REPORT SUMMARIZED BY PRINCIPAL COST TYPE
Equipment Category/Class
Unit 0703
38 38
Unit level cost information
4. Cost benchmarks
39 39
Class or category cost information
4. Cost benchmarks
40 40
Figure 12.7
Units above the line have a positive owning cost variance and are well utilized. Units to
the right have a positive owning cost variance and are operating within budget.
($12,000)
($8,000)
($4,000)
$0
$4,000
$8,000
$12,000
($12,000) ($8,000) ($4,000) $0 $4,000 $8,000 $12,000
G/L
: O
wn
ing
Co
st
Bu
dg
et
G/L: Operating Cost Budget
Category EX : Class M
EX M
0605
0701
0702
0703
0801
0802
0803
0804
Well utilizedExpensive to operate
Under utilizedEconomical to operate
Under utilizedExpensive to operate
Well utilizedEconomical to operate
4. Cost benchmarks
P 215
Benchmark owning and operating costs
41 41
Will you have a safe flight if you manage:
Benchmark owning and operating costs
4. Cost Benchmarks
42 42
$ per hour for owning costs.
How do I recover the fixed costs
of ownership.
Depends on utilization and life
$ per hour for operating costs.
How do I recover the costs of
running it and fixing it.
Depends on day to day field
decisions
4. Cost Benchmarks
Benchmark owning and operating costs
43 43
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
44 44
Age benchmarks are critical. There must be a formal
process of defining and measuring where we are
relative to fleet average age.
It is a three step process
1. Establish your benchmark ages
2. Collect your actuals
3. Produce actionable information
5. Fleet age benchmarks
45 45
1. Establishing benchmark ages
5. Fleet age benchmarks
Intuition Analysis
$0.00
$10.00
$20.00
$30.00
$40.00
$50.00
$60.00
$70.00
2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000
Co
st
pe
r h
ou
r
Hours Worked
Cost per hour - Life to Date
Total
Operating
Repairs
Owning
It does not matter how you do it – you must know:
HOW LONG YOU PLAN TO KEEP IT
WHEN IT WILL BECOME PROGRESSIVLY MORE COSTLY
WHEN IT WILL BE DONE
P 109
46 46
5. Fleet age benchmarks
Age benchmarks are critical. There must be a formal process of defining
and measuring where we are relative to fleet average age.
It is a three step process
1. Establish your benchmark ages
2. Collect your actuals
3. Produce actionable information
Again, it is not as easy as it sounds:
Collect the hours worked to generate the earned
value budget and drive the fleet age system – You
can mess them both up.
47 47
5. Fleet age benchmarks
Age benchmarks are critical. There must be a formal process of defining
and measuring where we are relative to fleet average age.
It is a three step process
1. Establish your benchmark ages
2. Collect your actuals
3. Produce actionable information
16,000 18,000 22,00020,000
Age Hours in Inventory
48 48
P112
A B C D E F
Now +1 Now + 2 Now + 3 Now + 4
7002 18092 Se ll
7003 15304 < 2
7001 13326 15126 < Se ll 1
7004 12317 14117 15817 < Se ll 1
7022 10374 12174 13874 15574 < Se ll 1
7150 7156 8956 10656 12356 14056
7161 6182 7982 9682 11382 13082
7157 4921 6721 8421 10121 11821
7160 4875 6675 8375 10075 11775
7152 4588 6388 8088 9788 11488
Buy 1700 3400 5100 6800
2 > 1700 3400 5100 6800
Buy 1 > 1700 3400 5100
Buy 1 > 1700 3400
Buy 1 > 1700
Unit number Current ageExpected age at end of
5. Fleet age benchmarks
49 49
(40,000)
(20,000)
-
20,000
40,000
60,000
Date
Hours in inventory - Five units - Rate class 22-3
5. Fleet age benchmarks
Living off the new fleet
Buy one
Quiet year
Rebuild one
Buy two
Busy year
Rebuild one
Maintaining the fleet
50 50
There are, in fact, THREE benchmarks
$ per hour for owning costs.
How do I recover the fixed costs
of ownership.
Depends on utilization and life
$ per hour for operating costs.
How do I recover the costs of
running it and fixing it.
Depends on day to day field
decisions
Hours in inventory.
How do I know when I am in the
“red zone” and LTD cost is
increasing with each hour
worked.
Depends on a combination of
owning and operating cost,
reliability and productivity.
5. Fleet age benchmarks
51 51
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
52 52
6. Some ideas
Owning cost$ per hour to have the
machine in your fleet.
Operating cost$ per hour to put it to
work and keep it working.
Hours in inventoryFleet average age relative
to “the sweet spot”.
53 53
6. Some ideas
Owning cost$ per hour to have the
machine in your fleet.
Operating cost$ per hour to put it to
work and keep it working.
Hours in inventoryFleet average age relative
to “the sweet spot”.
Technology gradientAre new machines safer,
more reliable and more productive.
Red work ordersNumber of “red work orders”
per operating hour.
Labor factorLabor hours spent on the
machine per operating hour.
54 54
6. Some ideas
55 55
6. Some ideas
(40,000)
(20,000)
-
20,000
40,000
60,000
Date
Hours in inventory - Five units - Rate class 22-3
Past Future
The replace
decision
depends on
current
inventory
and future
activity.
56 56
0
50,000
100,000
150,000
200,000
250,000
0 20 40 60 80 100 120 140
Miles t
rav
elled
Number in the fleet
Ford F150 milage travelled
Now 2 years time
6. Some ideas
57 57
Labor Factor
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
0.22
0.24
0.26
0.28
Bro
oms
Pan
s
Com
pac
tors
- A
sphalt
Track
Drills
963'
s
Rubber
Tire
Load
ers
Trench
Rolle
rs
Trucks
- Dum
p
Com
pac
tors
- D
irt
Doze
rs
Exc
avato
rs
Trucks
- Fuel
Artic
s - V
olvo
Wheel
ed Exc
avat
ors
Trucks
- Tra
ctors
Bac
khoe's
Gra
ders
Fleet
Re
pa
ir a
nd
Ma
inte
na
nc
e H
ou
rs p
er
Ho
ur
W o
rke
d
6. Some ideas
58 58
y = 0.004x2 + 19.346x + 1,418,872.556R² = 0.912
R 0
R 500,000
R 1,000,000
R 1,500,000
R 2,000,000
R 2,500,000
R 3,000,000
R 3,500,000
R 4,000,000
R 4,500,000
R 5,000,000
Cu
mu
lati
ve
Co
st
Life (Hours)
Mitchell Curve Category
Bell B30D - Discard Application 2009 Rate Poly. (Bell B30D - Discard Application)
6. Some ideas
59 59
y = 0.004x2 + 15.723x + 1,663,942.969R² = 0.954
R 0
R 500,000
R 1,000,000
R 1,500,000
R 2,000,000
R 2,500,000
R 3,000,000
R 3,500,000
R 4,000,000
R 4,500,000
R 5,000,000
Cu
mu
lati
ve C
ost
Life (Hours)
Mitchell Curve Category
Bell2706 - Coal _(Machines now at Manganese site)
6. Some ideas
60 60
6. Some ideas
61 61
6. Some ideas
0
10
20
30
40
50
60
0 to 60 hrs 60 to 120 hrs 120 to 160 hrs Over 160 hrs
% of fleet reporting
Hours worked in last 4 weeks
Fleet Utilization
Production
Support
On road
62 62
6. Some ideas
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00
Age in hours worked LTD
Age in Years LTD
Z15 Class Excavators - age, utilization and cost LTD
63 63
P 159
y = 0.5804x + 720830R² = 0.7517
y = 0.0944x + 625167R² = 0.2742
y = 0.2226xR² = 0.5837
y = 0.1636xR² = 0.5994
y = 0.0999x + 95663R² = 0.3358
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$0 $500,000 $1,000,000 $1,500,000 $2,000,000 $2,500,000
Cost
Equipment revenue
Total cost
Owning costs
Operating costs
Fuel costs
Overhead costs
6. Some ideas
64 64
1. Standards.
What standards do we have, who defines them
2. Data, information and graphics.
How do we turn data into actionable information
3. Deployment, availability and utilization.
Surely these are the basics, how do we define them
4. Cost benchmarks.
How do we define benchmarks and present cost information
5. Fleet age benchmarks.
Are there standards, how do we track them
6. Some ideas.
Lets get outside the box
What I want you to take home
Equipment Metrics and
Benchmarking
65 65
1. Standards
100,000$
Less Direct Job costs
Labor 45,000$
Equipment 18,000$
Materials 15,000$
Sub contractors 5,000$
Job indirect 2,000$
Total 85,000$
Profit on operations 15,000$
Equipment costs
Depreciation 4,600$
Leases, loans 2,300$
Lisc insurance, tax 1,000$
Owning costs 7,900$
Labor 3,300$
Parts and supplies 3,700$
Fuel 5,000$
Operating costs 12,000$
1,000$
20,900$
1,200$
19,700$
18,000$
(1,700)$
13,300$
SG&A Costs
Estimating and job planning 4,000$
Human Resources 1,125$
Administration 900$
Facilities 1,100$
Finance 800$
7,925$
Operating Income 5,375$
Other income and expenses 1,500$
Nett income before tax 6,875$
Tax due 3,555$
Income after tax. 3,320$
Revenue
Total equipment costs
Equipment charged to jobs
Gain/(loss) on sale
Gross profit from operations
Total equipment costs
Total SG&A
Un recovered equipment costs
Equipment indirectGenerally Accepted Accounting Principles.
International Accounting Standards Board
Financial Accounting Standards Board
Who sets their standards
Who sets our standards
66 66
1. Standards
Or, are we all very, very different.
Everyone does it differently
Everyone has different requirements.
67 67
Most systems are designed
to run “the business”
What about “our business”
Core modules
Application modules
Who designed them
Who built them
What about our input
2. Data and information
68 68
A picture is worth a thousand data points
Edward Tufte
2. Data and information
69 69
P 157
Activity metrics: - How active is the machine? How much is it needed and used?
Deployment = T E
Percentage of time the machine is actually deployed on site and required to work relative to the total ownership period
Utilization = W T - D
Percentage of time the machine is actually used relative to the time it is on site and able to work
Net Utilization = W T
Percentage of time the machine is actually used relative to the time it is deployed on site
Input metrics: - What resources do I use to keep the machine up and running?
Labor Factor = RMh W
Repair and maintenance labor hours spent on the machine per hour worked by the machine
Repair cost = Rpl W
Direct cost of repair parts and labor per hour worked by the machine
Output metrics: - What do I achieve through the use of these resources?
Availability = T – D T
Percentage of time the machine is able to work relative to time on site
Down Ratio = D W
The ratio of a machine’s down hours per hour worked by the machine
Reliability = V x 100 W
The frequency with which the machine breaks down and disrupts production
Data
E = Total ownership period V = Number of times a machine breaks down and disrupts production
T = Time the machine is on site and required to work
RMh = Repair and maintenance labor hours spent on the machine
D = Time the machine is down and incapable of working when it is required to work
Rpl = Direct cost of repair parts and labor spent on the machine in the period
W = Actual hours the machine worked during the period
70 70
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
P 60
Calculation or Calibration
4. Cost benchmarks
Standards reflect the expectations
Actual costs reflect reality.
71 71
$- $40.00 $80.00 $120.00 $160.00
22-3
22-4
26-1
26-4
26-6
32-1
32-5
45-5
45-7
45-8
Rate Class
Our rate Blue Book Rate
THE RATE
Existing
Company Rates
Published Standards
Current
Equipment Costs
Theoretical Calculations
The
Construction Market
The
Business Climate
Standards reflect the expectations
Actual costs reflect reality.
Calculation or Calibration – OK, HOW
4. Cost benchmarks
Why?
72 72
Unit level cost information
4. Cost benchmarks
73 73
1. Establishing benchmark ages
5. Fleet age benchmarks
Intuition Analysis
$0.00
$10.00
$20.00
$30.00
$40.00
$50.00
$60.00
$70.00
2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000
Co
st
pe
r h
ou
r
Hours Worked
Cost per hour - Life to Date
Total
Operating
Repairs
Owning
It does not matter how you do it – you must know:
HOW LONG YOU PLAN TO KEEP IT
WHEN IT WILL BECOME PROGRESSIVLY MORE COSTLY
WHEN IT WILL BE DONE
P 109
74 74
5. Fleet age benchmarks
Age benchmarks are critical. There must be a formal process of defining
and measuring where we are relative to fleet average age.
It is a three step process
1. Establish your benchmark ages
2. Collect your actuals
3. Produce actionable information
16,000 18,000 22,00020,000
Age Hours in Inventory
75 75
P112
A B C D E F
Now +1 Now + 2 Now + 3 Now + 4
7002 18092 Se ll
7003 15304 < 2
7001 13326 15126 < Se ll 1
7004 12317 14117 15817 < Se ll 1
7022 10374 12174 13874 15574 < Se ll 1
7150 7156 8956 10656 12356 14056
7161 6182 7982 9682 11382 13082
7157 4921 6721 8421 10121 11821
7160 4875 6675 8375 10075 11775
7152 4588 6388 8088 9788 11488
Buy 1700 3400 5100 6800
2 > 1700 3400 5100 6800
Buy 1 > 1700 3400 5100
Buy 1 > 1700 3400
Buy 1 > 1700
Unit number Current ageExpected age at end of
5. Fleet age benchmarks
76 76
(40,000)
(20,000)
-
20,000
40,000
60,000
Date
Hours in inventory - Five units - Rate class 22-3
5. Fleet age benchmarks
Living off the new fleet
Buy one
Quiet year
Rebuild one
Buy two
Busy year
Rebuild one
Maintaining the fleet
77 77
6. Some ideas
(40,000)
(20,000)
-
20,000
40,000
60,000
Date
Hours in inventory - Five units - Rate class 22-3
Past Future
The replace
decision
depends on
current
inventory
and future
activity.
78 78
6. Some ideas
Owning cost$ per hour to have the
machine in your fleet.
Operating cost$ per hour to put it to
work and keep it working.
Hours in inventoryFleet average age relative
to “the sweet spot”.
Technology gradientAre new machines safer,
more reliable and more productive.
Red work ordersNumber of “red work orders”
per operating hour.
Labor factorLabor hours spent on the
machine per operating hour.
79 79
How do we define norms and standards.
How do we measure success.
Equipment Metrics and
Benchmarking