way to capture it. For example,
TRAKKA, Dingo’s condition
management software, has an
extensive data connector library, a
comprehensive list of data
connections that are preconfigured to
seamlessly connect and interface with
condition monitoring data providers,
ERP systems and mobile field
inspection devices.
Once the data is in the system, a
predictive analytics engine can
provide excellent decision support.
However, a number of maintenance
organisations fall down because they
focus on task completion vs issue
resolution. By implementing action
tracking, where open issues and
actions taken are fed back to the
reliability team, maintenance
decisions continuously improve until
the equipment returns to a normal
operating state.
Finally, Dingo has learnt that
visibility is critical to achieving the
benefits of the Compound Effect. Two
important features to look for in this
area are unlimited users (or seats) and
a performance dashboard. Software
with limited licences tend to put the
control, and the power, in the hands
of a few individuals, which creates
functional silos and can hinder
decision-making. An open system
creates transparency that helps ensure
everyone has complete information
and context when they are making
those seemingly minor decisions.
Performance dashboards provide
two distinct advantages. First, they
force the team to come up with clear
goals that are well understood from
the ground up. By operating with the
end in mind, people tend to make
favourable choices with a higher
degree of consistency that lead to the
desired state. Second, what gets
measured, gets done. By providing
clear goals and visibly measuring
them, everyone starts taking
accountability for keeping the
organisation on course.
Another key insight is that the
mines that are successfully raising the
bar are not setting lofty, unachievable
goals and mandating that their teams
deliver them. These mines are setting
smaller, more attainable targets and
equipping their teams with the
decision-support tools to help them
maximise on the information
available.
A large North American coal
mining operation provides a strong
testament to the true value of the
Compound Effect. When Dingo
engaged with this company over
seven years ago, over 50% of its fleet
was running in critical to warning
condition. By bringing essential
condition data into an Asset Health
system and using this information to
systematically improve maintenance
decisions, these mines now
consistently operate with 90% of their
fleets in normal condition. This
improvement translates into over
US$20 million cost savings per year
– calculated through the rebuild cost
of breakdown avoidance and
component life extension. This
number dramatically increases when
labour and productivity savings are
added to the calculation.
Conclusion
In this environment, mines know
that they cannot afford to sit tight
and wait for a market upswing, but
most of the obvious cost cuts have
been made. It is time to look for the
less obvious, but potentially more
impactful ones. By equipping an
organisation with the systems and
tools to tap into the power of existing
data to help everyone make better
decisions – big and small – mines
will not only survive, they will
thrive.
ACPS Technical Conference 2016
39
Lubrication Engineers International
11
bauma 2016
35
MMD
4
Coal Preparation International 2016
31
pewag
IFC
Coaltrans India 2016
17
Palladian Publications
13, 29
Hillhead 2016
43
Phoenix Conveyor Belt Systems
48
Jennmar
IBC PRB Coal User' Group Meeting
47
Joy Global
2
Sandvik
OBC
Kal Tire
9
Schade
–
Aumund Group
19
Komatsu
OFC, 23 SME 2016 Annual Conference & Expo 27
Advertiser’s Index
56
|
World Coal
|
January 2016
