System Reliability Estimation for a Manufacturing Network with Joint Buffers  
Author Ping-Chen Chang
Co-Author(s) Yi-Kuei Lin
Abstract A Monte Carlo Simulation (MCS) approach is developed to estimate the system reliability for a multistate manufacturing network (MMN) with joint buffers. System reliability indicates the probability that all workstations provide sufficient capacity to satisfy a specified demand and buffers possess adequate storage. The joint buffers with finite storage are modeled into an MMN. An MCS algorithm is proposed to generate the capacity state and to check the storage usage of buffers to evaluate whether the demand can be satisfied or not. System reliability of the MMN is estimated through simulation. A practical example of footwear manufacturing system shows that system reliability is overestimated when buffer storage is assumed to be infinite.
Keywords Mote Carlo simulation, multistate manufacturing network, joint buffers, finite buffer storage, system reliability
   
    Article #:  23-029
 
Proceedings of the 23rd ISSAT International Conference on Reliability and Quality in Design
August 3-5, 2017 - Chicago, Illinois, U.S.A.