[R] how to model this

[jim holtman]

One way of modeling this is to use discrete event simulation since you
want some randomness to the time it takes trucks to travel and
therefore be available for the next load.  I have used this to model
various aspects of loading and routing trucks.

On Tue, Sep 23, 2008 at 4:58 PM, senne <wasenne at gmail.com> wrote:
> Dear list,
>
> I met with a business case and feel frustrated to model it,scenario is like
> this
>
> 1. logistics department running
> 2. a lot of customers place orders and goods need to be send to their site
> (nationwide)
> 3. order received and then choose from a list of truck carriers to deliver
> goods,a cheapest one should be selected but might not available for the
> limit of order-shipment time,so a more expensive one has to be used.
>
> this logistics department run the process on case-by-case basis ,no forecast
> from sale department and no bargain power against carriers. I have past 2
> years order history and freight history,on which some descriptive statistics
> is done and result is really ugly,expensive carriers were used
> extensively.I'm trying to find some ways to benchmark or optimize the
> process,but due to my lack of statistics modeling skills( I'm from
> accounting background and luckily because I have used R to show some
> improvement in past analysis,I'm asked to deal with this :(
> really can't find the clue where to start.I'll very appreciate if anyone can
> point  me to the right direction(books ,papers, or similar situations might
> be examined many times) .
>
> thanks
>
>        [[alternative HTML version deleted]]
>
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-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem that you are trying to solve?