Inventory-production Theory: A Linear Policy Approach |
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... Numerical results 70 .. 72 4.3 Piecewise linear costs · Gauss - Markov case · 74 74 · 76 78 79 · 4.3.1 Dynamic Programming solution 4.3.2 Numerical results 5. Comparison with deterministic approximations 5.1 White noise case 5.1.1 ...
... Numerical results 70 .. 72 4.3 Piecewise linear costs · Gauss - Markov case · 74 74 · 76 78 79 · 4.3.1 Dynamic Programming solution 4.3.2 Numerical results 5. Comparison with deterministic approximations 5.1 White noise case 5.1.1 ...
Page 104
... Numerical Results Numerical results for Dc were obtained for different cost para- meters ( p , h and v ) and different values of a and b . It appears [ 9 ] that in most cases Dc < 5 % . Only in cases of a rather * ) oblique beta ...
... Numerical Results Numerical results for Dc were obtained for different cost para- meters ( p , h and v ) and different values of a and b . It appears [ 9 ] that in most cases Dc < 5 % . Only in cases of a rather * ) oblique beta ...
Page 105
... results cannot easily be obtained , i.e. it is for general demand distri ... numerical burden in determining optimal DP - policies is considerable ... results can be obtained if one enlarges the inspection period by aggregating , say T ...
... results cannot easily be obtained , i.e. it is for general demand distri ... numerical burden in determining optimal DP - policies is considerable ... results can be obtained if one enlarges the inspection period by aggregating , say T ...
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