An application of static marginal analysis in the generation of a U.S. Navy repair material requirements list
Devins, Gerald Lee
Christensen, Jan D.
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An analysis is made of current Single Supply Support Control Point procedures for developing a Repair Material Requirements List. The objective of this thesis is to minimize the expected cost of stockouts over all line items subject to a budget constraint, given the probability distribution of demand. The concept of static marginal analysis is applied in the generation of a revised Repair Material Requirements List. The revised and the present generation techniques are compared by the use of a simulation of a R3350 aircraft engine overhaul production facility. Results indicate that the Poisson probability distribution function closely matches the demands experienced on the contract used for investigation. Results further indicate that drastic reductions in the number of stockouts, and in the number of orders, can be effected by the use of static marginal analysis in the generation of the Repair Material Requirements List.
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