Inventory-production Theory: A Linear Policy Approach |
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Page 38
... Gaussian random sequence seems also not to be too restrictive . First , many demand sequences encountered in practice are , in- deed , found to be Gaussian or at least nearly Gaussian . Second- ly , as will be shown later , numerical ...
... Gaussian random sequence seems also not to be too restrictive . First , many demand sequences encountered in practice are , in- deed , found to be Gaussian or at least nearly Gaussian . Second- ly , as will be shown later , numerical ...
Page 57
... Gaussian . We shall now show that in cases when this assumption does not hold the effect on our results may in general be disregarded . Let us proceed as follows . First we derive an integral equation for the stationary probability ...
... Gaussian . We shall now show that in cases when this assumption does not hold the effect on our results may in general be disregarded . Let us proceed as follows . First we derive an integral equation for the stationary probability ...
Page 62
... Gaussian approximation p + q h + v = K ко O 0.25 - - 0.274 - 0.799 - 0.442 - - 0.785 0.6 0.50 - - 0.301 - 0.664 - - 0.461 - 0.646 0.4 0.75 - - 0.330 - 0.567 - 0.483 - 0.549 0.3 1.00 - 0.359 - 0.493 - 0.506 - 0.477 0.3 2.00 - - 0.462 ...
... Gaussian approximation p + q h + v = K ко O 0.25 - - 0.274 - 0.799 - 0.442 - - 0.785 0.6 0.50 - - 0.301 - 0.664 - - 0.461 - 0.646 0.4 0.75 - - 0.330 - 0.567 - 0.483 - 0.549 0.3 1.00 - 0.359 - 0.493 - 0.506 - 0.477 0.3 2.00 - - 0.462 ...
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