Stochastic Models of Manufacturing SystemsOutlining the major issues that have to be addressed in the design and operation of each type of system, this new text explores the stochastic models of a wide range of manufacturing systems. It covers flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular systems, and more. For professionals working in the area of manufacturing system modelling. |
Contents
5 | 10 |
SINGLESTAGE PRODUCETOORDER SYSTEMS | 43 |
Multiple Servers | 77 |
Copyright | |
28 other sections not shown
Common terms and phrases
aggregate job allocation approximation arbitrary job arrival process arrival rate assume average number b₁ b₂ backlogged batch buffer capacity cards class I jobs coefficient of variation consider cost cycle demand develop distributed with mean efficiency equation exponentially distributed FCFS flow line given Hence interarrival inventory banks job arrival job classes job flow job shop job shops k₁ machine center machine failures manufacturing facility manufacturing system Markov process material handling mean flow number of jobs number of machines obtain Operations Research optimal order tags output store p(WW PA cards pallets parameters Poisson process probability vector production rate queueing model queueing system random variables repair requisition tag Section sequence server service center service protocol service rate simulation single-stage solution squared coefficient stage station stationary storage Suppose tasks throughput total number transfer lines two-stage types of jobs waiting