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The advent of micro-computers and other high technology products, such as visual inspection systems and robots, with their supporting hardware/software components has been paralleled with an appreciable increase in the number of distribution outlets. Each commercial outlet has to carry enough inventory to provide proper service to its customers. However, due to the fast change in the technology involved, numerous inventory items become obsolete at a rapid rate. The situation can be treated as a perishable inventory problem. This paper develops that analogy, and presents the expressions for the: Required stock level, Optimal order quantity, and Total cost of the inventory policy. It is shown that as obsolescence rate increases, the Kanban (Just-in-Time) concept of purchasing, lot sizing, and inventories should be considered by the hierarchical organizations or the distribution network. 相似文献
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This paper examines a preparedness policy of a stochastically failing system. It deals with two yet unsolved problems in the field of maintenance policies. Problem 1 analyzes a model that includes a discount factor. Problem 2 analyzes a model that includes maintenance costs that change over time. The models are solved by a conventional method and by dynamic programming. 相似文献
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