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CONTINUOUS ONE WAREHOUSE N RETAILER PROBLEMS
DYNAMIC ONE WAREHOUSE N RETAILER PROBLEMS
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assume assumption average cost average echelon inventory best separate retailing best single cycle best unrestricted branch and bound Clearly comparisons compute the best constraints cost per unit cost structure demand rate discussed dynamic demand dynamic programming algorithm echelon holding cost examine extreme flow feasible solution find the optimal Goyal algorithm Graves and Schwarz Howard Mark integer iteration lot splitting lower bound Management Science Mark Singer minimum cost multi-echelon multiple cycle policy N retailer network flow node 0,t on-hand inventory optimal single cycle optimal solution value overall optimal policy overall optimal solution policy is stationary production costs production inventory system production plan Proof of Theorem renewal points renewal policy retailer problem retailer production inventory retailer system revised heuristic separate retailing policy serial system set-up cost simultaneous production point single cycle policy single facility problem stationarity stationary policy Theorem 2.3 upper bound warehouse echelon inventory warehouse production intervals warehouse production points Zangwill zero