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Implementing PDA Inspection Rounds with Asset Basic Care At
Barrick Goldstrike Mine
by
Wayde
Esplin, Senior Reliability Supervisor, Barrick Goldstrike Mines
Inc., Elko, NV, USA and Steve Reilly, Vice President,
Design
Maintenance Systems Inc., North Vancouver, BC, Canada
This paper was originally
deliver at The
Enterprise Asset Management Summit
Introduction
Barrick’s Goldstrike mining complex, located on the Carlin Trend
in northeastern Nevada, is a large gold mining operation
employing 1,600 people. This paper will cover some of the goals,
objectives and results associated with the mine site’s
implementation of an Asset Basic Care program using electronic
handhelds.
Asset Basic Care programs use operations, maintenance and/or
lubrication staff to physically inspect and verify the operating
condition of work areas, processes, and fixed/mobile assets.
Some of the topics that will be covered in this paper include:
• What is Asset Basic Care?
• How Does Asset Basic Care Assist in Work Identification At
Barrick Goldstrike?
• Tools and technology for automating Asset Basic Care.
Introduction to Barrick Goldstrike
Barrick is a leading international gold mining company, with a
portfolio of 26 operating mines and seven advanced exploration
and development projects located across four continents, and a
large land position on the world’s best exploration belts.
Barrick has the largest reserves in the industry, 139 million
ounces as at December 31, 2005. For 2006, the Company is
targeting gold production of 8.6 million ounces and copper
production of approximately 370 million pounds. Total cash costs
are expected to be about $285 per ounce of gold and about $0.80
per pound of copper.
Goldstrike is the Company’s flagship property, with gold
reserves at year-end 2005 of over 16 million ounces and two
producing mines: The Betze–Post open pit operation and the
Meikle/Rodeo underground operation. For the last decade,
Goldstrike has contributed about 2 million ounces to Barrick’s
annual production, and is still the Company’s largest producer,
and reached the 30 millionth ounce produced in 2006.
There are two major industrial processes in use at Barrick
Goldstrike:
Mining:
Gold ore is mined from both open pit and underground operations
using traditional mining methods. Ore is hauled to the
processing area and stored in stockpiles for later use.
Processing:
Ore
from the stockpiles is crushed and then ground in mills and
further processed using autoclave and roasting processes.

Figure 1 Goldstrike Property
What Is Asset Basic Care?
Asset Basic Care is a commitment by the operations and
maintenance staff to ensure that assets maintain their expected
level of quality and volume for output, while reaching their
expected lifespan.
Figure 1 - Goldstrike Property
Asset Basic Care greatly reduces and/or eliminates reactive
maintenance by implementing procedures to ensure that assets
are:
• Properly configured with all specified guards, safety devices
and environmental protection.
• Operating within proper parameters (i.e. acceptable
temperature / pressure / flow rate etc).
• Protected from dirt, water and other sources of contamination.
• Checked for seals operating properly (no leaks of lubricant or
process fluids).
• Receiving the correct type and amount of lubricant as per the
lubrication schedule.
These procedures are all carried out in a thorough asset care
regimen. The investigative part of this regimen also attempts to
catch incipient problems by monitoring assets for both visual
(qualitative) and measurable (quantitative) indications of
change.
Along with the inspection processes of the program, an Asset
Basic Care process focuses on education of the operators, the
lubrication staff and the maintenance/reliability staff. Asset
Basic Care puts high emphasis on both operator managed
inspection programs and lubrication management efforts.
Asset Basic Care and Work Identification
An evaluation of work identification throughout the mine
revealed the need to improve work identification in the
Goldstrike process area.
Typically, work is identified in 4 ways:
• Breakdown work (unscheduled),
• PM work (time based /scheduled)
• Condition based – Predictive
• Condition based - Sensory
At the time of the evaluation, the distribution of each of these
four types of work identification was as follows:
-
Breakdown work (unscheduled) 15%
-
PM Work (time-based) 65%
-
Condition Based - Predictive 10%
-
Condition Based - Sensory 10%
The decision was made to try to increase the amount of work
identified by condition based-sensory inspections. It was
determined that inspection-based work identification of
unscheduled maintenance was the best approach.
Evaluating Automated Asset Basic Care
Once it was decided to try to increase the identification of
work through increased inspections, it was necessary to review
the existing inspection process.

Figure 2 Work Identification
At the time, the plant was using paper based equipment
inspections. These inspections were usually completed on
schedule. However, using the information from these inspections
as a tool for work identification and triggering corrective work
orders was fairly difficult. The paper forms were hard to sort
through. Often, the needed form would be stacked deep on the
inspection clipboard, and so finding the noted exceptions was
either impossible or took a considerable amount of time.
There is no question that inspection procedures can be carried
out using paper check-sheets. However, it was felt that
implementing the inspection rounds using an automated approach
would resolve the problem of incomplete work identification.
The benefits of automated inspection rounds are:
• Implementing Asset Basic Care programs are easier and more
efficient.
• Increases the accuracy and consistency of collected data.
• Immediate feedback is available to the operators when
assessing the asset.
• Exceptions are indicated immediately to maintenance and
reliability staff.
Therefore, the decision was made to implement an electronic
operator inspection program using handheld data collectors.
The primary goal of collecting the data electronically is to
capture this data into a searchable database automatically,
without having the need for data entry from the paper inspection
forms. This would allow the information collected from
inspections to be sorted and flagged as exceptions, and used to
immediately generate corrective work orders.
Implementing
Automated Asset Basic
The database was installed on a network server so it could be
accessed at several different work stations. A person was
selected to be the system administrator and assigned the
following responsibilities:
• Setting up the inspection routes,
• Creating the inspection specifications in the database,
• Installing barcode tags on the appropriate assets,
• Training operators & supervisors in use of the system,
• Ongoing management and support of the inspection database.
The execution of an Asset Basic Care program involves the
following steps (Figure 3).
• Schedule the inspections for a time period.
• Carry out the inspections in a timely manner.
• Generate and deliver a list of noted exceptions.
• Notify all participants about any exceptions found during the
inspections.
• Schedule and conduct any remedial action needed to eliminate
the exceptions.
The program administrator is responsible for ensuring that the
management support needed to execute these procedures is
available.

Figure 3 - Inspection Cycle
Barcodes versus Routes
The decision was made to scan barcodes at each inspection point.
Scanning the barcode automatically records the identification of
the operator, and the time and date stamp of when the inspection
is completed. This is helpful for regulatory compliance. When an
operator walks up and scans the barcode, the corresponding
inspection is brought up on the data collector. Most of our
inspections are “checklist” type inspections, which show a
series of checkboxes on the screen (Figure 4). These inspection
forms lead the operator through an inspection of that particular
piece of equipment or area. Temperatures, levels, pressures,
etc. can also be recorded.
Each operator is required to “sign in” to the data collector
before starting a route, to ensure that the operator id is
properly recorded when an inspection is carried out.

Figure 4 - Checklist Inspection

Figure 5 - Data Collector and Bar Code Label
Program Startup
During the program startup, inspections were created in the
database and training was completed for operators. Barcodes
were placed in the field at inspection points (figure 6). Each
operator was guided through his/her routes for the first few
times. After the training, these operators then took over
responsibility for their own routes.
Routes are created in the database and then downloaded to the
handhelds. After routes are collected the data is uploaded back
to the database. At the end of each shift, the shift supervisor
runs an exception report for the inspections completed during
the shift. Based on this report, he inputs the work orders into
the maintenance management system to be put on the backlog for
scheduling.
Challenges
Initially, the implementation of this system was not well
received. Operators looked at the program as a way for the
company to keep track of them. Also, it was felt that the
handhelds were designed to make them get out in the field and
work harder.
We have had instances of the barcodes disappearing. In one case
all of the barcodes were removed and taken in the control room
for easy and quick scanning. But what they did not realize is
the time stamp gave them away - they had completed a 2-hour
inspection in less than 5 minutes.
Despite this resistance, the company has shown a commitment to
the program and employee acceptance has improved.

Figure 6 - Sag Mill Inspection Point
Conclusions
With implementation of the program in the pilot area at our Wet
Mill process, we have seen an increase in work orders generated
from operator inspections. The average for this area has been
about 80-100 new work orders identified per month from the
electronic inspections. This change equates to a 10% increase in
sensory-condition based work orders, from which we can expect a
5% reduction in breakdown work and a 5% shift from time based to
condition based work (figure 7).

Figure 7 - Work ID Improvement Change
For more information about
the strategies and technologies in this article please contact
Steve Reilly
stever@desmaint.com or visit
www.desmaint.com
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