Abstract
With the development of power industry and the growth of high-voltage power equipments in electric power company, the supply and management of spare parts are becoming more complexity and onerous. This investigation proposed a hybrid method to effectively predict the requirements of electric spare parts utilizing fuzzy logic and ARIMA so as to provide as a reference of spare parts control. The forecasting methods are tested in an empirical, comparative study for an electric power company of China. The results show that the approach is one of the most accurate methods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
