Title :
Some kanban-controlled manufacturing systems: a first stability analysis
Author :
Seidman, Thomas I. ; Humes, Carlos, Jr.
Author_Institution :
Dept. of Math. & Stat., Univ. of Maryland, Baltimore, MD, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
The blockage/starvation patterns of known instability examples suggest using local demand information-which is precisely what is provided by the widely advocated kanban approach to flow control in manufacturing systems. Therefore, we have re-analyzed for stability the examples described in the 1990 Kumar-Seidman paper when modified by introducing kanban control. It is found that this does not ensure stability and, in fact, some interesting new instability phenomena arise. Counterintuitively, it is possible that increasing some reserve in a stable system may induce instability
Keywords :
production control; stability; blockage/starvation patterns; flow control; instability phenomena; kanban-controlled manufacturing systems; local demand information; Control systems; Information analysis; Job shop scheduling; Manufacturing systems; Mathematics; Stability analysis; Statistics; System testing; Throughput;
Journal_Title :
Automatic Control, IEEE Transactions on
