Support Activity Flow Based Forecast Model for the Quantity of the Aircraft’s Support Equipments during Design and Development Phase

Article Preview

Abstract:

In order to resolve the problems encountered in the process of forecasting the quantity of equipments demanded by aircraft’s support system during the design and development phase, including the difficulty to collect the input data of the existing forecast models and their imprecise and unauthentic output results, a model of was established to forecast the number of support equipments based on support activity flow described by functional flow diagrams. Firstly, the aircraft’s typical mission was analyzed and the quantity of operation and maintenance support activities happened in the duration of the mission was calculated on the basis of the typical mission’s data and aircraft’s reliability data. Secondly, the working hours and maximum number of the support equipments demanded by the support activities in the bottom of the functional flow diagrams was calculated and analyzed. Thirdly, an approach to sum the working hours and maximum quantity of the support equipments demanded by the support activities with logic relations in the same level of the functional flow diagrams was presented and with which the working hours and maximum number of support equipments demanded by the top-level support activity was achieved. Fourthly, the quantity of support equipments to be allocated in the support sites was calculated. At last, the proposed model was demonstrated via a practical case of aircraft, which proved that the model is corrective and effective.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

722-727

Citation:

Online since:

June 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] CHEN Yonglong, WANG Yuquan, LI Shiying. Journal of Armored Force Engneering Institute. 2003, 17(03): 59-62. (in Chinese).

Google Scholar

[1] CHEN Jun, CHEN Yongge, WANG Cheng. Evaluation of Equipment Support Resources Based on Neural Network. Journal of Academy of Military Transportation. 2008, 10(4): 46-48. (in Chinese).

Google Scholar

[2] Wang Nai-Chao, Kang Rui, Wang Yu. Research on support equipment number determination model basing on the batch repair policy. Systems Engineering and Electronics, 2009, 31(5): 1266-1269. (in Chinese).

Google Scholar

[3] Alfredsson, Patrik. Optimization of multi-echelon repairable item inventory systems with simultaneous location of repair facilities . European Journal of Operational Research, 1997, 99(3): 584-595.

DOI: 10.1016/s0377-2217(96)00322-0

Google Scholar

[5] Wen Jia, Kang Rui, MA Lin, WANG Yan. Operation and Maintenance Support Resources Forecast Model based on Support Activity Flow . Macau: IEEE - Prognostics & System Health Management Conference, (2010).

DOI: 10.1109/phm.2010.5413617

Google Scholar

[4] GUO Cai-fen, WANG Nin-sheng. Support Equipment's Quantity Optimization based on Queue Theory. Industrial Technology & Economy, 2004, 23(3): 101-102. (in Chinese).

Google Scholar

[5] Green L, Kolesar P. The Point wise Stationary Approximation for Queues with Non-stationary Arrivals. Management Science,1991,37(1): 84-97.

DOI: 10.1287/mnsc.37.1.84

Google Scholar

[8] Benjamin S. Blanchard. System Engineering and Analysis (Third Edition). Prentice Hall, 1998: 664-673.

Google Scholar