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A generalized Johnson's rule for stochastic assembly systems

✍ Scribed by Rhonda Righter

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
113 KB
Volume
44
Category
Article
ISSN
0894-069X

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✦ Synopsis

Johnson's rule gives the optimal order to schedule a set of jobs through a twomachine flow shop with deterministic processing times. We extend Johnson's rule to forkjoin systems with random processing times. Most of the system may be an arbitrary network. We give conditions under which Johnson's rule is optimal in the stochastic sense, in the increasing convex sense, and in expected value.

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## Abstract A load‐sharing parallel system functions if at least one unit in the system is functioning and the surviving units share the load. In most of research on load‐sharing system, the performance of the system has been studied only for the case when the lifetimes of components in the system