Title
Performance evaluation in finite production run-based serial lines with geometric machines
Abstract
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.
Year
DOI
Venue
2016
10.1109/COASE.2016.7743439
2016 IEEE International Conference on Automation Science and Engineering (CASE)
Keywords
Field
DocType
finite-size production run-based serial lines,geometric machines,identical goods,similar goods,manufacturing process,manufacturing industries,manufacturing activity,customer orders,finite production run-based manufacturing,geometric reliability model,Markovian analysis,production line transient performance,two-machine lines,multimachine lines,aggregation-based computationally efficient approach,system performance measures,numerical simulations
Mathematical optimization,Manufacturing,Markov process,Production line,Engineering,Transient analysis,Manufacturing process,Reliability model,Reliability engineering
Conference
ISBN
Citations 
PageRank 
978-1-5090-2410-0
2
0.38
References 
Authors
10
5
Name
Order
Citations
PageRank
Zhiyang Jia1233.03
Liang Zhang212117.53
Guorong Chen320.38
Jorge Arinez49418.62
Guoxian Xiao510414.79