Benefits of Backup Sourcing for Components in Assembly Systems Under Supply Uncertainty

Author(s):  
Wenting Pan ◽  
Kut C. So ◽  
Guang Xiao
Author(s):  
Zhao Ganlin ◽  
Feng Pingfa ◽  
Zhang Jianfu ◽  
Yu Dingwen ◽  
Wu Zhijun

CIRP Annals ◽  
2021 ◽  
Author(s):  
Robert H. Schmitt ◽  
Guido Hüttemann ◽  
Sören Münker

Procedia CIRP ◽  
2021 ◽  
Vol 97 ◽  
pp. 367-372
Author(s):  
Fadi Assad ◽  
Sergey Konstantinov ◽  
Emma J. Rushforth ◽  
Daniel A. Vera ◽  
Robert Harrison

2019 ◽  
Vol 39 (2) ◽  
pp. 262-271
Author(s):  
Yukan Hou ◽  
Yuan Li ◽  
Yuntian Ge ◽  
Jie Zhang ◽  
Shoushan Jiang

Purpose The purpose of this paper is to present an analytical method for throughput analysis of assembly systems with complex structures during transients. Design/methodology/approach Among the existing studies on the performance evaluation of assembly systems, most focus on the system performance in steady state. Inspired by the transient analysis of serial production lines, the state transition matrix is derived considering the characteristics of merging structure in assembly systems. The system behavior during transients is described by an ergodic Markov chain, with the states being the occupancy of all buffers. The dynamic model for the throughput analysis is solved using the fixed-point theory. Findings This method can be used to predict and evaluate the throughput performance of assembly systems in both transient and steady state. By comparing the model calculation results with the simulation results, this method is proved to be accurate. Originality/value This proposed modeling method can depict the throughput performance of assembly systems in both transient and steady state, whereas most exiting methods can be used for only steady-state analysis. In addition, this method shows the potential for the analysis of complex structured assembly systems owing to the low computational complexity.


Sign in / Sign up

Export Citation Format

Share Document