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Thread: Resource Allocation Problem

  1. #1
    Jun 2008

    Resource Allocation Problem

    Hi Folks,

    This is an interesting problem.
    I have been thinking about how to do it for a few days.

    I would like to calculate a probable time to arrive at work based on a resource list and the number of initial customer cases.

    Each morning we come into work, there is a list (from 0 to M) of employees/resources who will handle customer cases.

    There is an initial number of cases to be handled immediately i.e. Cinitial (from 0 to N), and then new cases come in at random intervals.

    Each case gets assigned to a resource based on the order of the resource list. When a resource has finished handling a case, they go back onto the bottom of the list.

    So if Cinitial = 2 cases, then John and Steve will be occupied handling the cases immediately at 9am. Frank and Joel will be waiting around for new cases to randomly arrive.

    I am able to get statistics for each day - the number of initial cases at 9am, the times the new cases come in (and therefore the times resources 0 to M) are needed, and the total number of new cases during the day.

    What would be interesting to calculate - based on Cinitial, what time is most likely for R(x) to be needed? (R(x) could sleep in a little and not need to get to work at 9am).

    Then we ask the question sometime during the day instead of in the morning - there was Cinitial cases at the start of the day, Cnew cases have come in, it is now Time t>9am , what is the probable time R(x) is needed?

    Your ideas are appreciated on how to work out this problem / what models are needed.
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  2. #2
    Jun 2008

    Re: Resource Allocation Problem

    My guess..

    $\displaystyle T(R_x) = $ time in mins past 9am resource $\displaystyle R_x$ is needed at work.
    $\displaystyle C_i = $ Cinitial initial cases at start of the day
    $\displaystyle F = $ function F that returns probable assignment of case based on the number of resources not currently assigned

    If $\displaystyle C_i \geq R_x \text$ then $\displaystyle T(R_x)=0$

    $\displaystyle C_i < R_x$ then $\displaystyle T(R_x)=F(R_x - C_i) $

    How do I use the statistics I have to make function F?
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