TY - GEN
T1 - Performance analysis of Bernoulli serial production lines with switch-on/off machine control
AU - Jia, Zhiyang
AU - Zhang, Liang
AU - Arinez, Jorge
AU - Xiao, Guoxian
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/7
Y1 - 2015/10/7
N2 - In recent years, achieving high energy-efficiency has become one of the primary goals in manufacturing industries, along with maintaining high productivity and quality. In many manufacturing systems, it is sometimes possible to temporarily switch off a machine to reserve energy when it is idle and switch it back on when a certain condition is met. In this paper, we study serial production lines with Bernoulli machines and finite buffers and assume that one of the machines can be switched on and off during the production process according to a pre-determined control policy. Mathematical models for the system under consideration are derived and analytical methods are developed for calculating the system production rate, consumption rate, and power during transients and steady state. Specifically, exact Markovian analysis is used for two-and three-machine lines. For longer lines, an aggregation-based approximation approach is applied. Numerical experiments show that the methods developed can be used to efficiently calculate the systems performance with high accuracy.
AB - In recent years, achieving high energy-efficiency has become one of the primary goals in manufacturing industries, along with maintaining high productivity and quality. In many manufacturing systems, it is sometimes possible to temporarily switch off a machine to reserve energy when it is idle and switch it back on when a certain condition is met. In this paper, we study serial production lines with Bernoulli machines and finite buffers and assume that one of the machines can be switched on and off during the production process according to a pre-determined control policy. Mathematical models for the system under consideration are derived and analytical methods are developed for calculating the system production rate, consumption rate, and power during transients and steady state. Specifically, exact Markovian analysis is used for two-and three-machine lines. For longer lines, an aggregation-based approximation approach is applied. Numerical experiments show that the methods developed can be used to efficiently calculate the systems performance with high accuracy.
UR - http://www.scopus.com/inward/record.url?scp=84952791585&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2015.7294125
DO - 10.1109/CoASE.2015.7294125
M3 - Conference contribution
AN - SCOPUS:84952791585
T3 - IEEE International Conference on Automation Science and Engineering
SP - 477
EP - 482
BT - 2015 IEEE Conference on Automation Science and Engineering
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Y2 - 24 August 2015 through 28 August 2015
ER -