OK everyone.

We're going to expressing resigned group.

The title of our project is
just things that we're facing.

I'd like to first thank our faculty
advisor Dr Gates liberals continue help

throughout the semester as well
as our client contact Mr Bill for

you for giving us the opportunity
to do this project.

So presumably they are in either
the last myself and supporting or C.

then someone who would give you
a brief overview of our project.

Now the problem the volunteer
Express which is a trucking company

is experiencing a lack of coordination
in consolidation within their network

and a problem.

I mean the approach we've taken to solve
this problem is to look at all the routing

strategies and deal with the long serious
press and try to find the best one

that we're delivering to volunteer
expressed is our optimization model.

Well as an Excel map which
is an evaluation tool

which will allow them to
compare future facilities.

Now the value we're bringing Is there
potential savings of one point two million

dollars here as well as always going now
says of the various routing strategies

we've come up with a little more
about volunteer expresses history and

they were founded in one nine
hundred seventy three and

since then they've handed out an average
annual growth of about ten percent a year

now with all this growth
in two thousand and

ten they began to experience operational
constraints and volunteer express

exacts knew they had a problem on their
hands and they decided to sell a company.

So in two thousand wasn't going to express
was purchased by quickly carriers another

trucking company and now want to
express that and its new C.E.O.

or at an important crossroads where
they need to make a strategic decision

in order to keep the company grow.

Now I'd like you all to take a second and
pictures in the position of the C.E.O.

and just think about how you would make
a decision with the next coming slot.

So volunteer express

currently operates out of terminals
in the southeast United States.

They also service six partner
house in the northeast.

You know and say Is there any way revenue
for two thousand and eleven thousand is

about thirty million dollars a year their
size about five hundred trailers and

two hundred tractors.

Now this is a model of
these current networks

everything right now all shipments
are rabid through their hub and

national as you can see we're going
to be expressed as the service.

Standard Time of one day in
the southeast as well as today's North.

Now let me tell you a little bit more
about volunteer expresses problem.

Fargas said earlier.

They're suffering from a lack of
coordination with the Saudis and

within their network this problem is
most evident at their home in Nashville.

They're currently having to extend
business hours as well as practice and

efficient processes and
as you keep doing operations.

Now one of these inefficient
prophecies is called Traveling

trailers what traffic controller is
when they take a shipment off for

the hope to still be loaded into an empty
trailer in order to create excess floor

space of the building and then bring
back at a later time unload it and

then finally load it onto the trailer
that will take it to its destination.

Now on to express is doing this
an average of nineteen times a day and

to give you an idea of
the scale of this problem.

The square footage in one thousand
trailers is the same square footage of

the entire health facility.

So moving on our objective was to look at

all the reading strategies available
to long to express and find that for

fourteen to help in the design
strategy using our musician.

We took it.

We looked at it in two different
approaches one was a technology

approach in which dynamic data
will update after the route and

the other to the policy based approach for
a set of protocols will determine where

shipments need to get broken
this down further into.

Three categories to traditional to

have scenario in a special case
scenario we call south north of

we're going to go into the right.

So we've got to go.

And this is what he does and

that's this is a big

house and

it's basic function

and so for example

Egypt is

something you're going for the one.

Because you got so

I was looking for
a consolidation that or I'm going to get

out before that we just hear from them for
the song.

If I could express their
views to go to your program

it's called the strategic model and
give you a brief it's objective

because I mean I get decisions.

Each and which was the optimal five
to get some constraints that we might

want to keep the sort of standard times
that formed your sense something more in

your speech prides itself on and ensuring
that makes you such a large problem.

So here's a quick program

why so cranky what happens is

consider this if it's right

and and that's what

the movement for the indigent program with

captured consolidation
opportunities is the talk is

where they consolidate and they're
good on the destination Pittsburgh.

As you can see this one and this is

it right for us in order.

To get so frustrated facility like

in special interest to the first solution.

I'm curious

thirty thousand five hundred dollars
fifty per cent for the optimal solution.

So if you're under seven for example.

It was actually very
expensive in the south.

So all options

are going to be very expensive
in the north we discussed

all shipments through the National Service

the focal point what the individual
program does is it considers

the system the complexity increases and

as you can see there you are in
the system where you go.

How exactly does it deliberately go

we discussed before and
transportation and happily

so we looked at all the results we
looked at people with their words facts.

Since we and
the Born in connection with the

scenario.

Hi Scott.

Thank you so long.

To express the life through all
the different possibilities.

Look into the future to
make the right decision for

thirty months of historical data and
focus and want to express for

the next five years which is a result of

the prediction and using all the different

configurations again trying to figure
out was the best one for volunteers for

the different types of transistor about

the red line represents a prediction
of a twenty five percent increase in

different capacities as you can
see that different facilities

are volunteers versus looking to
maybe invest into the future so

that you can see actually which is higher
than what the theoretical capacity.

This is because they engage an inefficient

because they're using this one
to express the right decision.

Moving forward.

Five twenty seventeen and they can
see that would be the right offer for

just capacity such an important
part of their sensitivity

analysis capacity is a very important
part of having different capacities

at different places and with different
configuration with them different.

With the different types of capacities and
changes

as you can see the technology and sense
of capacity which means having a big or

bigger don't know does not affect
the cost of efficiency of that

we see that the cost reduce
significantly with the capacity.

This makes intuitive sense and mean that
there is a lot less this lovely space and

a lot less structural This brings
us to a second chance to be at

the front of the stars and
very close to the capacity for

every ancestrial the right set
up which is already at best.

Because that's a good.

This is determined by the fact
we spoke with launch express and

as you know a factor of one point five for
most of our studies and

this is basically the direct cost involved
in terms of access access liver and

increasingly depiction of the indirect

costs such as the use of an exit door for
space and restricted growth opportunities.

So we have different types
of all the factors and

all different configurations to see how
they change the changes in the country

as you can see the technology
often does not change and

this is primarily because of the capacity
is never exceeded anything so

the fact is never actually we
see the cost increases for

the more we see the cost increases
becomes more efficient when compared

to the deliverables to
express feelings which

is basically a cost of elevation to what
this does is looks at different facility

locations based on G.P.S. location and
transistor all the different inputs and

sequentially orders them according to this
market would you point to expose the right

to different locations and
choose if they want to invest in a big.

Furthermore we also giving them
a statistical analysis of the different

spellings and so
on to the potential save the fun for

the technology upgrade from just a savings
of about one point two billion dollars And

this is where the investors technology and

this gives them dynamic
dynamic optimization.

I believe they want to
invest in a positive option.

Maybe the home expansion this
translates about one point zero

point four billion dollars.

However if they want to give
your boss insurance likes of

which we only recommend it.

About the cost was a point of six
the savings would be about zero point nine

billion dollars So our recommendation
of objects first was to close your

eyes true with every option you have
cost and you have been now we've got

service offering three of the actual
software the tracking infrastructure and

integrating that with a guy like you to
structure that they have the main benefits

of want to express that they can work out
of the current physical infrastructure.

But all the interest in the information
flow in their system they can

realize about one point
two million dollars.

No we believe that our major project
value lies in the analysis of

the different experience.

Removing that are now somehow branch
express make the right decision.

Moving forward and

maybe Johnson one of the biggest
challenges into a big growth option.

Just last week we presented to the words
executive the board to express and

they're very excited for the
recommendations and I have to be looking

at implementing to our office so
that concludes our presentation.

I hope you enjoy the presentation
as much as we enjoyed

working on your journey question each

and every

Just zero percent of the C.E.O. just
recently asked me to go there yourself or

me or
possibly process Starforce our needs for

a very someone you did a C.E.O.
can send an e-mail or the right person and

what our study is an analysis
of the cost savings.

So they want to try and see what
the cost to implement actions are valued

by the company and then they were short

of question the question was why we
chose three and five year forecasting.

So when we talk to the five when they
make a strategic decision they would

be comfortable looking
at that time frame but

also realize that we had
a very mild dataset and

we were trying to forecast in the future
but we wanted to see how our models

with changes in the past we just did not
want to give them a model for the present

to see how it would you know how the model
would change their capacity to change

because part of the question the question

was if I did extra origin destination
troubles right now they're looking

at expanding their operations in
Atlanta and other states as well.

So we consider a gap demand for our model
so that would essentially account for

any excess demand or
the growth they're experiencing

excess capacity would be
sufficient to account for

that excess demand and
I just broke through that they were very

much.

I've.