Title: An intelligent buffer capacity allocation method for flexible production lines based on conjugate Bayes estimation

Authors: Jinrong Li

Addresses: Department of Mathematics and Information Engineering, Puyang Vocational and Technical College, Puyang 457000, China

Abstract: In order to overcome the problems of low productivity, high vacancy rate and long allocation time in traditional methods, an intelligent buffer capacity allocation method based on conjugate Bayesian estimation is proposed in this paper. Firstly, the basic function of flexible production line is determined, and the relationship between steady performance parameters and buffer capacity is analysed. Secondly, Gershwin decomposition method is used to solve the performance parameters of flexible production line system. Then, the proper conjugate prior information is determined and the process distribution parameters are estimated using conjugate Bayes. Finally, the buffer capacity intelligent allocation value of flexible production line is calculated to realise buffer capacity intelligent allocation of flexible production line. The experimental results show that the proposed method can achieve 97.6% equipment productivity, 2.3% equipment vacancy rate and 6.6s allocation time, and has good buffer capacity allocation effect.

Keywords: conjugate Bayesian estimation; flexible production line; prior information; buffer capacity; intelligent allocation of capacity.

DOI: 10.1504/IJMTM.2024.137386

International Journal of Manufacturing Technology and Management, 2024 Vol.38 No.1, pp.40 - 50

Received: 20 May 2022
Accepted: 11 Aug 2022
Published online: 15 Mar 2024 *