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NAVAL RESEARCH DECEMBER
Optimal Disposal Policies for a SingleItem Inventory Page D P HEYMAN
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algorithm applied approximation associated assume assumption branch and bound budget clique column computational confidence interval consider constraints convex extension convex function convex set correlation corresponding cost customers cutting plane decision defined demand denote discounted distribution dual equation estimates example expected exponential failure rate feasible solution Figure finite flow gauge given graph Hence increasing inequality integer Integer Programming inventory iteration Lemma linear programming lower bound Management Science manpower Markov Mathematical matrix maximal method minimal minimum Naval Research Logistics node nucleolus objective function obtained Operations Research optimal policy optimal solution parameter period Poisson Poisson process polaroid prediction intervals probability procedure PROOF quasi-convex queue random variables Research Logistics Quarterly satisfy Section sequence server solving stage stationary policy stochastic stocks and flows subproblem Table Theorem tion transshipment type-i car upper bound vector zero