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Two countermeasure strategies to mitigate random disruptions in capacitated systems

We examine a capacitated system exposed to random stepwise capacity disruptions with exponentially distributed interarrival times and uniformly distributed magnitudes. We explore two countermeasure policies for a risk-neutral decision maker who seeks to maximize the long-run average reward. A one-ph...

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Detalles Bibliográficos
Autores principales: Bakir, Niyazi O., Savachkin, Alex, Uribe-Sanchez, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SP Systems Engineering Society of China 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104596/
https://www.ncbi.nlm.nih.gov/pubmed/32288409
http://dx.doi.org/10.1007/s11518-010-5125-y
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author Bakir, Niyazi O.
Savachkin, Alex
Uribe-Sanchez, Andrés
author_facet Bakir, Niyazi O.
Savachkin, Alex
Uribe-Sanchez, Andrés
author_sort Bakir, Niyazi O.
collection PubMed
description We examine a capacitated system exposed to random stepwise capacity disruptions with exponentially distributed interarrival times and uniformly distributed magnitudes. We explore two countermeasure policies for a risk-neutral decision maker who seeks to maximize the long-run average reward. A one-phase policy considers implementation of countermeasures throughout the entirety of a disruption cycle. The results of this analysis form a basis for a two-phase model which implements countermeasures during only a fraction of a disruption cycle. We present an extensive numerical analysis as well as a sensitivity study on the fluctuations of some system parameter values.
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spelling pubmed-71045962020-03-31 Two countermeasure strategies to mitigate random disruptions in capacitated systems Bakir, Niyazi O. Savachkin, Alex Uribe-Sanchez, Andrés J Syst Sci Syst Eng Article We examine a capacitated system exposed to random stepwise capacity disruptions with exponentially distributed interarrival times and uniformly distributed magnitudes. We explore two countermeasure policies for a risk-neutral decision maker who seeks to maximize the long-run average reward. A one-phase policy considers implementation of countermeasures throughout the entirety of a disruption cycle. The results of this analysis form a basis for a two-phase model which implements countermeasures during only a fraction of a disruption cycle. We present an extensive numerical analysis as well as a sensitivity study on the fluctuations of some system parameter values. SP Systems Engineering Society of China 2010-03-06 2010 /pmc/articles/PMC7104596/ /pubmed/32288409 http://dx.doi.org/10.1007/s11518-010-5125-y Text en © Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Bakir, Niyazi O.
Savachkin, Alex
Uribe-Sanchez, Andrés
Two countermeasure strategies to mitigate random disruptions in capacitated systems
title Two countermeasure strategies to mitigate random disruptions in capacitated systems
title_full Two countermeasure strategies to mitigate random disruptions in capacitated systems
title_fullStr Two countermeasure strategies to mitigate random disruptions in capacitated systems
title_full_unstemmed Two countermeasure strategies to mitigate random disruptions in capacitated systems
title_short Two countermeasure strategies to mitigate random disruptions in capacitated systems
title_sort two countermeasure strategies to mitigate random disruptions in capacitated systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104596/
https://www.ncbi.nlm.nih.gov/pubmed/32288409
http://dx.doi.org/10.1007/s11518-010-5125-y
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