Quality control of an unreliable random fms: With bernoulli and csp sampling

Charles S. Tapiero; Lie Fern Hsu

doi:10.1080/00207548808947923

Quality control of an unreliable random fms: With bernoulli and csp sampling

Charles S. Tapiero, Lie Fern Hsu

Finance and Risk Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper provides a set of recursive equations for computing the AOQ (average outgoing quality) of an unreliable random FMS (flexible manufacturing system). The FMS is described using Whitt's approximation to a network of GI/G/S queues. Relationships between the operating and quality manufacturing characteristics of the FMS are found. Numerical examples are provided and the impact of outgoing quality variability on location of inspection in an FMS is discussed. This latter topic is left for further research however.

Original language	English (US)
Pages (from-to)	1125-1135
Number of pages	11
Journal	International Journal of Production Research
Volume	26
Issue number	6
DOIs	https://doi.org/10.1080/00207548808947923
State	Published - Jun 1988

ASJC Scopus subject areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1080/00207548808947923

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abstract = "This paper provides a set of recursive equations for computing the AOQ (average outgoing quality) of an unreliable random FMS (flexible manufacturing system). The FMS is described using Whitt's approximation to a network of GI/G/S queues. Relationships between the operating and quality manufacturing characteristics of the FMS are found. Numerical examples are provided and the impact of outgoing quality variability on location of inspection in an FMS is discussed. This latter topic is left for further research however.",

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AB - This paper provides a set of recursive equations for computing the AOQ (average outgoing quality) of an unreliable random FMS (flexible manufacturing system). The FMS is described using Whitt's approximation to a network of GI/G/S queues. Relationships between the operating and quality manufacturing characteristics of the FMS are found. Numerical examples are provided and the impact of outgoing quality variability on location of inspection in an FMS is discussed. This latter topic is left for further research however.

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Quality control of an unreliable random fms: With bernoulli and csp sampling

Abstract

ASJC Scopus subject areas

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