Supply Chain Analytics

2022
Charge into the Future
Case 3 – Supply Chain Analytics (INMT5518)
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Foreword
Dear student, the following document constitutes a case study based on an
actual project ran by Visagio. It contains the details related to a client (Al
Gorithm) and his organisation (V-ORE), as well as the challenges faced by
them. While analysing the case, try to think of the answers to the following
questions:
• What is the key problem that the client’s organisation is facing?
• What is the objective of the analysis?
• What are the rules, boundaries and assumptions within which the
analysis needs to be conducted?
• What would you compare the optimised benefits against? How would
you define and analyse the current, “as-is” scenario?
ALAN GORITHM
Mr. Alan Gorithm, also known as ‘Al’, is a
senior geologist working for V-ORE, a top tier
global mining company. Al has a background
in computer science, four children, and a
golden retriever. He’s also passionate about
the environment, and loves to get out in
nature, often hiking with his family on
weekends.
Al makes every effort to bring his
environmental passion into the workplace
and to his peers, but longs for an
opportunity to contribute to the cause on a
scale larger than being diligent with his
recyclables, commuting on public transport,
and bringing his own cutlery to work. Luckily
for Al, he won’t have to wait much longer…
A HISTORIC ANNOUNCEMENT
In a company-wide broadcast, V-ORE
announces a huge new project, one that will
catapult the organisation into the future of
the mining industry.
“Project VOLT (V-ORE Locomotive Technology)
plans to replace all traditional diesel orecarrying trucks on our Australian sites with
electric autonomous vehicles in a massive
transformative decarbonisation project, aiming
for completion in January 2030. Today, V-ORE
joins the global effort to protect our planet.”
Al could not contain his excitement at the
news, and after dancing on his desk for
some time, volunteered his full capacity to
aid the mission.
Charge into the Future | Supply Chain Analytics (INMT5518) Visagio 2022
Visagio 2022
V-ORE
V-ORE, founded in 1925 by an
entrepreneurial farmer, is a leading minerals
organisation globally. V-ORE’s logo, a gloved
miner’s hand clasping an hourglass, is
internationally recognized as a symbol of
prosperity, and serves as a reminder that
time is our most valuable resource. V-ORE
looks to the future with project VOLT and
hopes to be a guiding light for other
industrial giants through their commitment
to carbon-neutral strategies. With mines
spread across the globe, the effort is no
laughing matter. The first trial for electric
autonomous vehicles on a V-ORE site is
planned to commence late 2027 and will be
run at a Western Australian asset.
PROJECT VOLT
Diesel vehicles are typically responsible for
30 – 50% of a mine’s total greenhouse
emissions. Thus, the adoption of electric
vehicles is critical to the mining industry
reaching net zero. With hydrogen fuel
technology still far on the horizon, large
mining companies are turning to Battery
Electric Vehicles (BEVs) as a proven solution.
There are several advantages to a BEV fleet:
companies can vastly reduce their
expenditure on ventilation and cooling,
improve the general health of their workers,
and emit only a fraction of the noise created
by traditional diesel vehicles.
Charge into the Future | Supply Chain Analytics (INMT5518)
Visagio 2022
V-ORE recognizes that there will be multiple
hurdles to leap before achieving the
electrification of their fleet, related to several
factors: they will need to consider their
available budget, maintenance costs,
proximity to key manufacturer support, the
individual characteristics of each site (as it is
unlikely that a one-size fits all solution
exists), and the construction of necessary
infrastructure such as universal charging
stations. For their test run at a mine in
northern Western Australia, V-ORE has the
budget to place two universal charging
stations, which they verified will be enough
to cover the top 7 routes of the selected
mine.
VOLT’s project director wasted no time
reviewing the names of employees who had
been shortlisted to assist with the effort,
quickly identifying Alan as an excellent fit to
manage the placement of the charging
station infrastructure due to his technical
expertise and extensive knowledge of the
asset where the test would be conducted.
He reached out to Alan directly, providing an
introduction to the problem, and some high
level guidelines which would help shape the
solution. His email read as follows:
Morning Alan!
Hope to find you well mate – you’ve been
selected to lead the charge on placing our
infrastructure for project VOLT. Very exciting for
us all, we’re looking forward to working with
you on this initiative. More information to
follow. Thanks again for your support on this
massive effort, we’re making history here. Don’t
be a stranger!
Regards
VOLT Director M. Wazowski
Charge into the Future | Supply Chain Analytics (INMT5518)
Visagio 2022
CHARGING STATION INFRASTRUCTURE
PLACEMENT
Project VOLT’s base assumptions and
constraints are informed by data provided
by V-ORE procurement and finance teams.
VOLT Engineering are currently constructing
a detailed project timeline, though scope will
be adjusted after study completion.
Excited about the new project, and using his
knowledge of the mine site, Alan started to
map the possible locations that could be a
good fit for the charging stations, ending
with 5 candidate positions. He noted that 7
routes had been highlighted for the project,
and performed some initial analyses,
calculating the return distances for each
route to each of the 5 candidate locations
which he defined.
Diving into the technical details, Al started to
read the manufacturer’s documentation of
the charging stations and of the electric
vehicles which would be installed at the site.
He found that each station is able to
perform up to 500 charges per day, and
based on each of the route distances, slope
and average number of trips, he calculated
the number of charges required for each
route/day, using the assumption that no
route will be longer than 40km (round trip).
Having completed the initial analysis, Al
found himself lost on how to select the best
spots to place the stations and what would
be the network design of the new structure
(which route is charged by each station and
how many trucks/day) in a way that the total
distance is minimised.
He’s hoping you might be able to help him
out!
Charge into the Future | Supply Chain Analytics (INMT5518)

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