TY - GEN
T1 - The optimization model of spare parts and support equipment at peacetime
AU - Jiang, Kun
AU - Ju, Xian Li
AU - Yang, De Zhen
PY - 2011
Y1 - 2011
N2 - Spare parts and support equipment are two important interactional support resources. In the past, most approaches researched them separately without taking the relationship of them into account when forecasting the demand, which reduces the accuracy of forecast consequently. However, the amount of support equipment determines the maintenance support capability of logistics to a certain extent, which effects spare parts inventory directly. Through balancing and optimizing spare parts and support equipment at peacetime, we can effectively improve the accuracy of the forecast of their requirement at peacetime in order to achieve the aims of improving the utilization of expense and eliminating waste eventually.
AB - Spare parts and support equipment are two important interactional support resources. In the past, most approaches researched them separately without taking the relationship of them into account when forecasting the demand, which reduces the accuracy of forecast consequently. However, the amount of support equipment determines the maintenance support capability of logistics to a certain extent, which effects spare parts inventory directly. Through balancing and optimizing spare parts and support equipment at peacetime, we can effectively improve the accuracy of the forecast of their requirement at peacetime in order to achieve the aims of improving the utilization of expense and eliminating waste eventually.
KW - Amount of the arms out of commission
KW - Operational support cost
KW - Spare parts and support equipment
KW - Trade-off optimization
UR - https://www.scopus.com/pages/publications/79960920321
U2 - 10.1109/PHM.2011.5939476
DO - 10.1109/PHM.2011.5939476
M3 - 会议稿件
AN - SCOPUS:79960920321
SN - 9781424479511
T3 - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
BT - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
T2 - 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011
Y2 - 24 May 2011 through 25 May 2011
ER -