Abstract
Two policies are compared for the joint replenishment problem with a general ordering cost function. The fixed-cycle policy is solved using a dynamic programming approach, resulting in partitioning the items into groups. The basic-cycle policy uses a heuristic approach to partition the items into only two groups. A simulation model is developed to compare the effectiveness of the two policies and the EOQ approach.