Analysis of Patent Examination Effort Distribution based on the Queuing Theory

In this paper, we present a mathematical model based on the queuing theory that simulates the examination process in a patent office, including its relation with the applicants. Through this statistical model, this study aims at evaluating the examination effort distribution among all examination st...

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Autores principales:	Sampaio,João Gilberto, Borschiver,Suzana
Lenguaje:	English
Publicado:	Universidad Alberto Hurtado. Facultad de Economía y Negocios 2008
Materias:	queuing theory patent examination effort distribution decision profile backlog
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242008000200001
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spelling	oai:scielo:S0718-272420080002000012009-07-20Analysis of Patent Examination Effort Distribution based on the Queuing TheorySampaio,João GilbertoBorschiver,Suzana queuing theory patent examination effort distribution decision profile backlog In this paper, we present a mathematical model based on the queuing theory that simulates the examination process in a patent office, including its relation with the applicants. Through this statistical model, this study aims at evaluating the examination effort distribution among all examination stages, in order to establish the optimal examination condition, which means that a patent application would be granted, denied or withdrawn in the shortest period of time and the backlog of patent offices would be reduced, meeting the society demand in a more efficient way. This study also aims at evaluating the performance of a specific patent examiner based on the optimal condition.info:eu-repo/semantics/openAccessUniversidad Alberto Hurtado. Facultad de Economía y NegociosJournal of technology management & innovation v.3 n.4 20082008-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242008000200001en10.4067/S0718-27242008000200001
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	queuing theory patent examination effort distribution decision profile backlog
spellingShingle	queuing theory patent examination effort distribution decision profile backlog Sampaio,João Gilberto Borschiver,Suzana Analysis of Patent Examination Effort Distribution based on the Queuing Theory
description	In this paper, we present a mathematical model based on the queuing theory that simulates the examination process in a patent office, including its relation with the applicants. Through this statistical model, this study aims at evaluating the examination effort distribution among all examination stages, in order to establish the optimal examination condition, which means that a patent application would be granted, denied or withdrawn in the shortest period of time and the backlog of patent offices would be reduced, meeting the society demand in a more efficient way. This study also aims at evaluating the performance of a specific patent examiner based on the optimal condition.
author	Sampaio,João Gilberto Borschiver,Suzana
author_facet	Sampaio,João Gilberto Borschiver,Suzana
author_sort	Sampaio,João Gilberto
title	Analysis of Patent Examination Effort Distribution based on the Queuing Theory
title_short	Analysis of Patent Examination Effort Distribution based on the Queuing Theory
title_full	Analysis of Patent Examination Effort Distribution based on the Queuing Theory
title_fullStr	Analysis of Patent Examination Effort Distribution based on the Queuing Theory
title_full_unstemmed	Analysis of Patent Examination Effort Distribution based on the Queuing Theory
title_sort	analysis of patent examination effort distribution based on the queuing theory
publisher	Universidad Alberto Hurtado. Facultad de Economía y Negocios
publishDate	2008
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242008000200001
work_keys_str_mv	AT sampaiojoaogilberto analysisofpatentexaminationeffortdistributionbasedonthequeuingtheory AT borschiversuzana analysisofpatentexaminationeffortdistributionbasedonthequeuingtheory
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Analysis of Patent Examination Effort Distribution based on the Queuing Theory

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