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- W2314891617 abstract "The paper describes an efficient solution method for multiple-state cost variance investigation problems. This development makes it practical to design and implement automated cost-variance investigation systems free of the crippling compromises often forced by computational burdens. The new method allows the preferred dynamic programming model-the partially observable Markov process-to be applied, using more than two states and having probabilities inferred and updated by actual data rather than separately estimated. Ccmplete discussion is given for the finite-horizon case (the infinite-horizon case is Covered in a thesis available from the authors). Computational experience is based on a Fortran program whose complete documentation and listing is available from the authors." @default.
- W2314891617 created "2016-06-24" @default.
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- W2314891617 date "1982-01-01" @default.
- W2314891617 modified "2023-09-26" @default.
- W2314891617 title "A New Computational Approach to Cost Variance Iuvestigation Problems" @default.
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- W2314891617 doi "https://doi.org/10.1080/02522667.1982.10698714" @default.
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