Inventory-production Theory: A Linear Policy Approach |
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... deterministic approximations 5.1 White noise case 5.1.1 Numerical results 5.2 Gauss - Markov case 5.2.1 Numerical results 5.3 Appendix to Chapter 5 : .. Derivation of the deterministic policy 6. Comparison with AHM - Inventory Models ...
... deterministic approximations 5.1 White noise case 5.1.1 Numerical results 5.2 Gauss - Markov case 5.2.1 Numerical results 5.3 Appendix to Chapter 5 : .. Derivation of the deterministic policy 6. Comparison with AHM - Inventory Models ...
Page 78
... deterministic approach is for all para- meter constellations less favorable than the LNQ - approach . This clearly indicates that the deterministic approach usually applied in practice should not be used without taking into account a ...
... deterministic approach is for all para- meter constellations less favorable than the LNQ - approach . This clearly indicates that the deterministic approach usually applied in practice should not be used without taking into account a ...
Page 83
... deterministic optimization problem . Since we now have { ° 1 | * 1 } a = ( x ) 1 ∞ total demand [ k = 1 = k a Fo ro ( k ) is again finite and it is reasonable to take the adjoined deterministic criterion CD : = Σ ト{ ( x ) + I ...
... deterministic optimization problem . Since we now have { ° 1 | * 1 } a = ( x ) 1 ∞ total demand [ k = 1 = k a Fo ro ( k ) is again finite and it is reasonable to take the adjoined deterministic criterion CD : = Σ ト{ ( x ) + I ...
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