Inventory-production Theory: A Linear Policy Approach |
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Page 39
... stationary and Gaussian that { u } and { x } are also stationary Gaussian processes . This implies that C is solely a function of the variances , covariances , and mean values of { u } and { x } ‚ i.e . 2 X σ 2 บ C F ( 0. · Ou2 , oux ...
... stationary and Gaussian that { u } and { x } are also stationary Gaussian processes . This implies that C is solely a function of the variances , covariances , and mean values of { u } and { x } ‚ i.e . 2 X σ 2 บ C F ( 0. · Ou2 , oux ...
Page 57
... stationary probability distribution F ( x ) of inventory X assuming a general ( non - Gaussian ) demand sequence . This integral equation can in general not be solved analytically . Consequently , we represent F ( x ) by a Gram Charlier ...
... stationary probability distribution F ( x ) of inventory X assuming a general ( non - Gaussian ) demand sequence . This integral equation can in general not be solved analytically . Consequently , we represent F ( x ) by a Gram Charlier ...
Page 111
... stationary . This assumption turned out not to be too restrictive for smoothing situations . Assuming demand to follow a stationary stochastic process it could be shown that the asymptotic stage ( N + ∞ ) was reached only after a few ...
... stationary . This assumption turned out not to be too restrictive for smoothing situations . Assuming demand to follow a stationary stochastic process it could be shown that the asymptotic stage ( N + ∞ ) was reached only after a few ...
Contents
INVENTORYPRODUCTION THEORY | 1 |
B 825004 | 4 |
The general model | 7 |
Copyright | |
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approximation assumption balance equation Berlin C₁ Chap Chapter conditional mean cost criterion cost functions cost parameters costs are given defined demand sequence derive deterministic dynamic certainty equivalents dynamic programming Edited Ek+1 exponential smoothing Fachrichtung Operations Research Gauss-Markov Gauss-Markov process Gaussian H. P. Künzi Hence Herausgegeben inspection period inventory costs inventory problem Inventory-Production Theory investigated K₁ Kalman filter Karl Inderfurth linear decision rule linear policy linear-nonquadratic approach linear-quadratic models LNQ-approach Mathematical Systems non-quadratic Numerical results obtains Operations Research optimal costs optimal policy optimal safety stock p-matrix Piecewise linear costs probability distribution procedure production policy pure inventory quadratic quadratic functions S,S)-policy safety stock Schneeweiß Seiten sequence of demand set-up costs space representation Springer-Verlag stationary stochastic sequence suboptimal values variables variance VIII white noise xk+1 Xx+1 z-transform Εκ ас