A generalized Johnson's rule for stochastic assembly systems

A generalized Johnson's rule for stochastic assembly systems

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Article ID: iaor19971874
Country: United States
Volume: 44
Issue: 2
Start Page Number: 211
End Page Number: 220
Publication Date: Mar 1997
Journal: Naval Research Logistics
Authors:
Abstract:

Johnson’s rule gives the optimal order to schedule a set of jobs through a two-machine flow shop with deterministic processing times. The paper extends Johnson’s rule to fork-join systems with random processing times. Most of the system may be an arbitrary network. The paper gives 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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