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    Buying a new manufacturing system

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    Company A faces the decision of buying a new flexible manufacturing system or keeping the current system. Management projections for the cash flows are given below under two demand scenarios: H (high demand) and L (low demand). This information is summarized in the following table.

    H(0.5) L(0.5)
    Old System $35M $17.5M
    FMS $45M $13M

    1. To compute the expected value of each alternative and the Expected value under perfect
    information.

    Old System = 35*0.5 + 17.5*0.5 = 26.25
    FMS = 45*0.5 + 13*0.5 = 29

    Is this correct?

    What is the maximum expected value of additional information?

    2. Company A considering the advisability of undertaking a study, which will make a
    prediction on demand, at a cost of $2M. Company A's assessment of confidence in the
    study is summarized by the conditional probabilities of the prediction, h (high) or l(low),
    given the state of nature H or L. These probabilities are: P(h|H) = 0.7, P(h|L) =
    0.2, P(l|H) = 0.3 and P(l|L) = 0.8.

    Based on this info, how do I compute the posterior probabilities under each prediction, and determine if the study should be undertaken?

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    https://brainmass.com/math/probability/buying-new-manufacturing-system-19394

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    Company A faces the decision of buying a new flexible manufacturing system or keeping the current system. Management projections for the cash flows are given below under two demand scenarios: H (high demand) and L (low demand). This information is summarized in the following table.

    H(0.5) L(0.5)
    Old System $35M $17.5M
    FMS $45M $13M

    1. To compute the expected value of each alternative and the Expected value under perfect
    information.

    Old System = 35*0.5 + 17.5*0.5 = 26.25
    FMS = 45*0.5 + 13*0.5 = 29

    Is this correct?This is correct.

    EVPI = .5*45 + .5*17.5 = 31.25 ( when u know Demand will be high u will install new ...

    Solution Summary

    A new manufacturing system for buying is determined. The maximum expected value of additional information is computed.

    $2.19

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