37. Allegheny Mountain Power and Light is an electric utility company with a large fl eet of vehicles including automobiles, light trucks, and construction equipment. The company is evaluating four alternative strategies for maintaining its vehicles at the lowest cost: (1) including take no preventive maintenance at all and repair vehicle components when they fail; (2) take oil samples at regular intervals and perform whatever preventive maintenance is indicated by the oil analysis; (3) change the vehicle oil on a regular basis and perform repairs when needed; and (4) change the oil at regular intervals and take oil samples regularly, performing maintenance repairs as indicated by the sample analysis. For autos and light trucks, strategy 1 (no preventive maintenance) costs nothing to implement and results in two possible outcomes: There is a .08 probability that a defective component will occur, requiring emergency maintenance at a cost of $1600, or there is .92 probability that no defects will occur and no maintenance will be necessary. Strategy 2 (take oil samples) costs $40 to implement (i.e., take a sample), and there is a .08 probability that there will be a defective part and .92 probability that there will not be a defect. If there is actually a defective part, there is a .70 probability the sample will correctly identify it, resulting in preventive maintenance at a cost of $500. However, there is a .30 probability that the sample will not identify the defect and indicate everything is okay, resulting in emergency maintenance later at a cost of $1600. On the other hand, if there are actually no defects, there is a .20 probability that the sample will erroneously indicate that there is a defect, resulting in unnecessary maintenance at a cost of $250. There is a .80 probability that the sample will correctly indicate there are no defects, resulting in no maintenance and no costs. Strategy 3 (changing the oil regularly) costs $34.80 to implement and has two outcomes: a .04 probability of a defective component, which will require emergency maintenance at a cost of $1600, and a .96 probability that no defects will occur, resulting in no maintenance and no cost. Strategy 4 (changing the oil and sampling) costs $54.80 to implement and results in the same probabilities of defects and no defects as strategy 3. If there is a defective component, there is a .70 probability that the sample will detect it and $500 in preventive maintenance costs will be incurred. Alternatively, there is a .30 probability that the sample will not detect the defect, resulting in emergency maintenance at a cost of $1600. If there is no defect, there is a .20 probability the sample will indicate there is a defect, resulting in an unnecessary maintenance cost of $250, and a .80 probability that the sample will correctly indicate no defects, resulting in no cost. Develop a decision strategy for Allegheny Mountain Power and Light and indicate the expected value of this strategy.
We will calculate estimated cost per sample for eaach strategy:
Strategy 1 ;
0.08 x 1600 + 0.92 x 0 = 128
Strategy 2 :
40 + 0.08 ( 0.7 x 500 + 0.3 x 1600 ) + 0.92 ( 0.2 x 250 + 0.8 x 0 ) = 40 + 66.4 + 46 = 152.4
Strategy 3 :
34.8 + 0.04 x 1600 + 0.96 x 0 = 98.8
Strategy 4 :
54.8 + 0.04 x (0.7 x 500 + 0.3 x 1600) + 0.96 (0.2 x 250 + 0.8 x 0) = 54.8 + 33.2 +48 = 136
Thus, from above calculations, we can see that the cheapest cost per sample is in Strategy 3.
Thus Strategy 3 (change the vehicle oil on a regular basis and perform repairs when needed) must be chosen.
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