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LEADER: 03546pam 22003014a 4500
001 9921292000001661
005 20150423134049.0
008 020812s2002 caua 001 0 eng
010 $a 2002030453
020 $a0804743991 (alk. paper)
035 $a(CSdNU)u106877-01national_inst
035 $a(OCoLC)50479260
035 $a(Sirsi) 01-AAO-9399
040 $aDLC$cDLC$dOrPss
042 $apcc
049 $aCNUM
050 00 $aTS160$b.P67 2002
100 1 $aPorteus, Evan L.
245 10 $aFoundations of stochastic inventory theory /$cEvan L. Porteus.
260 $aStanford, Calif. :$bStanford Business Books, an imprint of Stanford University Press,$cc2002.
300 $axx, 299 p. :$bill. ;$c25 cm.
500 $aIncludes index.
505 0 $aTwo Basic Models -- The EOQ Model -- The Newsvendor Model -- Recursion -- Solving a Triangular System of Equations -- Probabilistic Analysis of Models -- Proof by Mathematical Induction -- Shortest-Route Problems -- Stochastic Shortest-Route Problems -- Deterministic Production Planning -- Knapsack Problems -- Finite-Horizon Markov Decision Processes -- Example: e-Rite-Way -- General Vocabulary and Basic Results -- Characterizing the Optimal Policy -- Example: The Parking Problem -- Dynamic Inventory Management -- Preservation and Attainment -- Finite-Horizon Theory -- Finite-State and -Action Theory -- Proofs for the Finite-State and -Action Case -- Generalizations -- Optimality of Structured Policies -- Myopic Policies -- General Approaches to Finding Solutions -- Development -- Application to Inventory Theory -- Application to Reservoir Management -- Extensions -- Dynamic Inventory Models -- Optimality of (s, S) Inventory Policies -- Linear-Quadratic Model -- Monotone Optimal Policies -- Intuition -- Lattices and Submodular Functions -- A Dynamic Case -- Capacitated Inventory Management -- Structured Probability Distributions -- Some Interesting Distributions -- Quasi-K-Convexity -- A Variation of the (s, S) Inventory Model -- Generalized (s, S) Policies -- Empirical Bayesian Inventory Models -- Model Formulation -- Conjugate Priors -- Scalable Problems -- Dimensionality Reduction -- Infinite-Horizon Theory -- Problem Formulation -- Mathematical Preparations -- Finite State and Action Theory -- Generalizations -- Bounds and Successive Approximations -- Preliminary Results -- Elimination of Nonoptimal Actions -- Additional Topics -- Computational Markov Decision Processes -- Policy Iteration -- Use of Linear Programming -- Preparations for Further Analysis -- Convergence Rates for Value Iteration -- Bounds on the Subradius -- Transformations -- A Continuous Time Model -- A Two-Product Production/Inventory Model -- Formulation and Initial Analysis -- Results -- Convexity -- Basic Definitions and Results -- Role of the Hessian -- Generalizations of Convexity -- Duality -- The Everett Result -- Duality -- Discounted Average Value -- Net Present Value -- Discounted Average Value -- Alternatives with Different Time Horizons -- Approximating the DAV -- Application to the EOQ Model -- Random Cycle Lengths -- Random-Yield EOQ Problem -- Preference Theory and Stochastic Dominance -- Stochastic Dominance -- How to Define Variability -- Application to the Newsvendor Problem.
650 0 $aInventory control$xStatistical methods.
650 0 $aStochastic control theory.
948 $a09/26/2002$b11/05/2002
982 $aTS160$a.P67$a2002
999 $aTS 160 P67 2002$wLC$c1$i31786101701156$d4/9/2004$f4/9/2004$g1 $lCIRCSTACKS$mNULS$rY$sY$tBOOK$u10/21/2002