题名: |
Intelligent Collaborative Aging Aircraft Parts Support |
作者: |
Williams, Galbraith D.;Jordan, Robert L.;Forsley, Lawrence P.;Calderwood, David A.; |
关键词: |
MILITARY AIRCRAFT, AGING(MATERIALS), PARTS, LOGISTICS SUPPORT, DEPARTMENT OF DEFENSE, AIRCRAFT MAINTENANCE, FORECASTING, REPAIR, SUPPLY DEPOTS, INFORMATION RETRIEVAL, REPLACEMENT. |
摘要: |
Department of Defense (DoD) depot-level maintenance activities often experience delays in obtaining consumable repair and replacement parts for aging aircraft systems and components. As part of a concerted effort to reduce these delays, the Defense Logistics Agency (DLA) sought design, development, and prototyping of Intelligent Collaborative Aging Aircraft Parts Support (ICAAPS) . LMI, in partnership with JWK International, explored the use of data mining and analysis techniques to improve long-range projections of depot-level maintenance requirements for the DLA-managed consumable parts. During a prototype demonstration involving standard depot-level maintenance for C-2 aircraft at the Naval Air Depot in North Island, CA, use of ICAAPS analytical tools improved the forecast accuracy for each consumable part included in the initial test sample. Consequently, continued use of ICAAPS should facilitate more timely consumable parts support and enable reductions in the number and duration of DoD depot-level maintenance delays caused by consumable parts shortages. |
总页数: |
40 |
报告类型: |
科技报告 |