TY - GEN
T1 - Performance evaluation in finite production run-based serial lines with geometric machines
AU - Jia, Zhiyang
AU - Zhang, Liang
AU - Chen, Guorong
AU - Arinez, Jorge
AU - Xiao, Guoxian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - A production run is usually referred to as a group of identical or similar goods that is produced by a particular manufacturing process. In various manufacturing industries, the manufacturing activity is carried out by deploying a series of production runs of different products according to customer orders. In this paper, we consider finite production run-based manufacturing in serial lines with machines obeying the geometric reliability model and buffers having finite capacity. For one-machine case, exact Markovian analysis approach is used. Closed-form formulae are derived to calculate the transient performance of the production line during the processing of a finite-size production run as well as mean of its completion time. For two-and multi-machine lines, an aggregation-based computationally efficient approach is proposed to approximate the system performance measures. The accuracy of the algorithms developed are justified using numerical simulations.
AB - A production run is usually referred to as a group of identical or similar goods that is produced by a particular manufacturing process. In various manufacturing industries, the manufacturing activity is carried out by deploying a series of production runs of different products according to customer orders. In this paper, we consider finite production run-based manufacturing in serial lines with machines obeying the geometric reliability model and buffers having finite capacity. For one-machine case, exact Markovian analysis approach is used. Closed-form formulae are derived to calculate the transient performance of the production line during the processing of a finite-size production run as well as mean of its completion time. For two-and multi-machine lines, an aggregation-based computationally efficient approach is proposed to approximate the system performance measures. The accuracy of the algorithms developed are justified using numerical simulations.
UR - http://www.scopus.com/inward/record.url?scp=85001122907&partnerID=8YFLogxK
U2 - 10.1109/COASE.2016.7743439
DO - 10.1109/COASE.2016.7743439
M3 - Conference contribution
AN - SCOPUS:85001122907
T3 - IEEE International Conference on Automation Science and Engineering
SP - 450
EP - 455
BT - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PB - IEEE Computer Society
T2 - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Y2 - 21 August 2016 through 24 August 2016
ER -