TY - JOUR
ID - 3456
TI - Performance indicator for a stochastic-flow manufacturing network with reworking actions based on reliability
JO - Scientia Iranica
JA - SCI
LA - en
SN - 1026-3098
AU - Lin, Yi-Kuei
AU - Chang, Ping-Chen
AD - Department of Industrial Management, National Taiwan University of Science & Technology, Taipei 106, Taiwan, R.O.C
Y1 - 2013
PY - 2013
VL - 20
IS - 6
SP - 2201
EP - 2214
KW - Stochastic-flow manufacturing network(SFMN)
KW - System reliability
KW - Reworking
KW - Differentsuccess rates
KW - Decomposition method
DO -
N2 - This paper studies the performance evaluation for a manufacturing system considering reworking actions from the industrial engineering perspective. Due to failure, partial failure, and maintenance, the capacity of each machine in a manufacturing system is stochastic. Therefore, a manufacturing system can be constructed as a stochastic-flow network, namelystochastic-flow manufacturing network (SFMN) herein. To evaluate the capability of an SFMN with reworking actions, we measure the probability that the SFMN satisfiesdemand and such a probability is referred to as the system reliability. First, a decomposition method is proposed to decompose the SFMN into one general processing path and several reworking paths. Subsequently, two algorithms are designed for different network models to generate the lower boundary vector of machine’s capacity for guaranteeing that the SFMN producessufficient products. The system reliability of SFMN is derived in terms of such a vector afterwards.According to the system reliability, the production manager may plan and adjust the production capacity in a flexible competing environment as customers’ demand change.
UR - https://scientiairanica.sharif.edu/article_3456.html
L1 - https://scientiairanica.sharif.edu/article_3456_800e6298220515eb5558cf9ecb6871a1.pdf
ER -