TY - GEN
T1 - A Prediction Model of Repairable Spare Parts Utilization Rate Based on Probabilistic Method
AU - Pan, Fenglian
AU - Yan, Xiaoyuan
AU - Wang, Naichao
AU - Xiao, Boping
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/4/11
Y1 - 2019/4/11
N2 - The relationship between the actual use time of repairable spare parts and the maintenance turnover time of the corresponding faulty parts is established through the analysis of the faulty product maintenance support process and the inventory spare parts operation status. Then, using a probabilistic method to calculate and produce the average spare due in (EDI) of the system within a certain specified period of time. Meanwhile the binomial distribution is used to render the probability distribution function of spare due in (DI) to obtain the time for the spare parts in various status as well as expected backorder (EBO). Finally, an availability modeling of spare part utilization is proposed taking into consideration of the system structure, the number of initial spare parts, the maintenance turnover time and spares shortage. Then, as a conclusion, an example calculation is performed to verify and demonstrate the effectiveness of the model and method as described in this paper.
AB - The relationship between the actual use time of repairable spare parts and the maintenance turnover time of the corresponding faulty parts is established through the analysis of the faulty product maintenance support process and the inventory spare parts operation status. Then, using a probabilistic method to calculate and produce the average spare due in (EDI) of the system within a certain specified period of time. Meanwhile the binomial distribution is used to render the probability distribution function of spare due in (DI) to obtain the time for the spare parts in various status as well as expected backorder (EBO). Finally, an availability modeling of spare part utilization is proposed taking into consideration of the system structure, the number of initial spare parts, the maintenance turnover time and spares shortage. Then, as a conclusion, an example calculation is performed to verify and demonstrate the effectiveness of the model and method as described in this paper.
KW - maintenance support process
KW - probabilistic method
KW - queuing theory
KW - repairable spare parts
KW - utilization rate
UR - https://www.scopus.com/pages/publications/85065038032
U2 - 10.1109/ICSRS.2018.8688876
DO - 10.1109/ICSRS.2018.8688876
M3 - 会议稿件
AN - SCOPUS:85065038032
T3 - Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018
SP - 187
EP - 191
BT - Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on System Reliability and Safety, ICSRS 2018
Y2 - 24 November 2018 through 26 November 2018
ER -