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Multi Echelon Techniques in Optimal Inventory Modeling of 在最优库存模型的多级技术
Multi Echelon Techniques in Optimal Inventory Modeling of Systems with Repairable Items Presented by Nuriye Kaptanlar 14/05/2003 Repairable Spares Optimization What is Spares Optimization? - At the core of supply chain management - Aimed at determining the best* answers to - How many spares should we buy? - Where should we put them? * Best is satisfying a performance goal for the lowest cost. Why to hold spare inventory? In general - To attain a certain level of end-item (i.e. aircraft) availability, in order to be able to continue the daily operations. Since spare parts are too expensive, -the reduction in the amount of inventory kept for them while achieving the desired operational availability would cause significant savings -managing spare parts’ inventory effectively would enable to achieve a higher operational availability with the same amount of investment. What has been done? Has been researched since late 60s MODMETRIC United States Air Force Logistics Command Manugistics, I2, TFD The software Vari-METRIC Turkish Air Force Project: - SAP R/3 + APO + Vari-METRIC - to achieve desired operational availability levels of different aircraft types Characterization Operational versus support sites Single versus multiple echelons Divergent versus convergent systems Acyclic versus cyclic models Condemnations allowed versus conservative systems Deterministic versus stochastic demand Item based versus multi indenture structure METRIC METRIC Assumptions Demand for each item ~ Compound Poisson Demand is stationary over the prediction period Demand on where repair is to be accomplished depends on the complexity of the repair only. Lateral resupply is ignored System is conservative (no condemnation) METRIC is used for Optimization: Determining optimal base-depot stock levels for each item Redistribution: Allocating the stock between the bases and depot Evaluation: Providing an assessment of the performance and investment cost for the system of
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