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Queue control using a historically developed stochastic model
Author(s) -
Ballou Donald P.,
Fisk John C.
Publication year - 1983
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/0272-6963(83)90011-6
Subject(s) - queue , computer science , ideal (ethics) , work (physics) , idle , mathematical optimization , operations research , mathematics , computer network , engineering , mechanical engineering , philosophy , epistemology , operating system
This paper applies a stochastic model to determine the optimal or ideal average planned queue level. The ideal average planned queue level is defined to be the minimum average queue level necessary to ensure that in the long run the probability of work center idle time over a specified planning horizon is no greater than some value α chosen by management. Also discussed is the usefulness of the ideal planned queue level, not only for controlling work‐in‐process inventories, but also for obtaining better work center lead time estimates.