Inventory-production Theory: A Linear Policy Approach |
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Page 6
... follows . There is a production facility producing one good ( or an aggregate of several similar goods ) which is stored and sold . According to reasons outside the scope of the production and inventory manager a mean production is ...
... follows . There is a production facility producing one good ( or an aggregate of several similar goods ) which is stored and sold . According to reasons outside the scope of the production and inventory manager a mean production is ...
Page 39
... follows from the assumption of { r } being 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 } ...
... follows from the assumption of { r } being 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 } ...
Page 90
... follows , we shall first consider the case r≥ 0 . Furthermore , we have to distinguish several cases depending on the particular value the initial stock takes on . ( 1 ) x < ar = Î ( 1 ) ∞ Since ar < a -a • r it follows from ( 5.23 ) ...
... follows , we shall first consider the case r≥ 0 . Furthermore , we have to distinguish several cases depending on the particular value the initial stock takes on . ( 1 ) x < ar = Î ( 1 ) ∞ Since ar < a -a • r it follows from ( 5.23 ) ...
Contents
A linear Policy Approach | 1 |
P andor Q0 | 4 |
The linearquadratic model | 7 |
Copyright | |
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1+K₁ algorithm approximation ARMA-process assumption asymptotic balance equation calculated Chap chapter conditional means cost criterion cost deviations cost functions cost parameters costs are given defined demand sequence denotes derive deterministic distribution function dynamic certainty equivalents dynamic programming Ek+1 Êx+1 exponential smoothing follows forecasts Gauss-Markov Gauss-Markov process Gaussian Hence inventory costs inventory problem inventory-production investigate K₁ Kalman filter linear decision rule linear policy LNQ-approach non-quadratic Numerical Results obtains optimal costs optimal decision optimal policy period Piecewise Linear Costs Prob probability distribution procedure pure inventory quadratic quadratic functions R₁ random variables random walk recursive reduces respect restricted S,S)-policy safety stock Seiten sequence of demand set-up costs shown solved space representation stationary structure suboptimal Substituting variances white noise Wiener-Hopf equation xk+1 xx+1 z-transform ас Ик