Robust Scheduling, a Production Scheduling Model of Failures

Iwona Paprocka; Bożena Skołud

doi:10.4028/www.scientific.net/AMM.307.443

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 307Robust Scheduling, a Production Scheduling Model...

Robust Scheduling, a Production Scheduling Model of Failures

Abstract:

In the paper a production model with failures is presented where successive failure-free times are supposed to have normal distributions and are followed by normally distributed times of repairs. Unknown parameters of the distribution are estimated using e.g. empirical moments approach. Predictions of unknown parameters are done using classical regression method. Having Mean Time To First Failure, and Mean Time of Repair a disturbance robust predictive schedule is generated using an immune algorithm and rule Minimal Impact of Disturbed Operation on the Schedule.

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Periodical:

Applied Mechanics and Materials (Volume 307)

Pages:

443-446

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.307.443

Citation:

Cite this paper

Online since:

February 2013

Authors:

Iwona Paprocka, Bożena Skołud

Keywords:

Immune Algorithm, Mean Time to First Failure (MTTFF), Multiobjective Scheduling, Normal Distribution, Predictive Scheduling, Robust Schedule

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