Title :
Approximate Analysis of Reentrant Lines With Bernoulli Reliability Model
Author :
Wang, Chong ; Li, Jingshan
Author_Institution :
Central Meas. Services, Cummins, Inc., Columbus, IN, USA
fDate :
7/1/2010 12:00:00 AM
Abstract :
Reentrant lines are widely used in many manufacturing systems. In this paper, we present an iterative method to approximate the performance of reentrant lines with Bernoulli reliability model under last buffer first serve (LBFS) scheduling policy. Recursive procedure to estimate the production rates of reentrant lines is developed. A case study of an automotive ignition component line with reentrant washing operations is introduced to illustrate the applicability of the method.
Keywords :
approximation theory; iterative methods; manufacturing systems; production management; reliability; Bernoulli reliability model; approximate analysis; automotive ignition component line; iterative method; last buffer first serve scheduling policy; manufacturing system; production rates; recursive procedure; reentrant lines; reentrant washing operation; Bernoulli reliability; last buffer first serve (LBFS); production rate; reentrant lines;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2009.2021463