littlefield technologies report

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  • 8/11/2019 Littlefield Technologies Report

    1/1

    Littlefield Technologies Group H11

    Background

    The Littlefield Technologies factory has three stations that conduct Board Stuffing, Testing andTuning.

    Key Performance Indicators

    Present Cash Balance: 1,091,557

    Max. Jobs Accepted: 11

    Current units in Inventory: 7620 (Raw Kits)

    Strategy

    Our strategy will entail effectively managing the Throughput, Inventory and OperationalExpenses in the factory to maximize the cash balance.

    We plan to do this exercise by analyzing and optimizing the process on following parameters

    a) We will initiate the analysis by demand estimation exercise using a regression model basedon the past 50 days data to forecast the average demand for the next 5 months.

    b) After demand estimation, we plan to identify the bottleneck in the overall process andincrease its capacity (If the demand is greater than the capacity of the process) by adding newmachines so as to increase the overall process capacity.

    c) We will work-out the capacity of the process at various batch sizes such as 60, 30 or 15 andwill optimize the batch size to decrease the flow time and inventory levels across the process,thereby saving inventory costs

    d) We also plan to analyze the flow times and accordingly make contracts, which are more profitable. i.e. if the flow time is near to 6 hours and the variance of the flow times is less it is better to commit through a 6 hours contract to generate additional revenues

    e) Alignment and sequence of the machines we also play a critical role in deciding the overallcapacity of the process. If the machine with lowest capacity (bottleneck) is placed at the endin the process the inventory in the process would be mostly of almost finished product withhigher value and hence the sequence of jobs will also be analyzed to understand theinventories build up

    f) We will also try to implement control limits for each of the process. This will help us inavoiding response to the inherent variability in the process