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A Simulation Approach to Decision Making in IT Service Strategy

We propose to use simulation modeling to support decision making in IT service strategy scope. Our main contribution is a simulation model that helps service providers analyze the consequences of changes in both the service capacity assigned to their customers and the tendency of service requests re...

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Detalles Bibliográficos
Autores principales: Orta, Elena, Ruiz, Mercedes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984762/
https://www.ncbi.nlm.nih.gov/pubmed/24790583
http://dx.doi.org/10.1155/2014/829156
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author Orta, Elena
Ruiz, Mercedes
author_facet Orta, Elena
Ruiz, Mercedes
author_sort Orta, Elena
collection PubMed
description We propose to use simulation modeling to support decision making in IT service strategy scope. Our main contribution is a simulation model that helps service providers analyze the consequences of changes in both the service capacity assigned to their customers and the tendency of service requests received on the fulfillment of a business rule associated with the strategic goal of customer satisfaction. This business rule is set in the SLAs that service provider and its customers agree to, which determine the maximum percentage of service requests that are permitted to be abandoned because they have exceeded the waiting time allowed. To illustrate the use and applications of the model, we include some of the experiments conducted and describe our conclusions.
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spelling pubmed-39847622014-04-30 A Simulation Approach to Decision Making in IT Service Strategy Orta, Elena Ruiz, Mercedes ScientificWorldJournal Research Article We propose to use simulation modeling to support decision making in IT service strategy scope. Our main contribution is a simulation model that helps service providers analyze the consequences of changes in both the service capacity assigned to their customers and the tendency of service requests received on the fulfillment of a business rule associated with the strategic goal of customer satisfaction. This business rule is set in the SLAs that service provider and its customers agree to, which determine the maximum percentage of service requests that are permitted to be abandoned because they have exceeded the waiting time allowed. To illustrate the use and applications of the model, we include some of the experiments conducted and describe our conclusions. Hindawi Publishing Corporation 2014-03-26 /pmc/articles/PMC3984762/ /pubmed/24790583 http://dx.doi.org/10.1155/2014/829156 Text en Copyright © 2014 E. Orta and M. Ruiz. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Orta, Elena
Ruiz, Mercedes
A Simulation Approach to Decision Making in IT Service Strategy
title A Simulation Approach to Decision Making in IT Service Strategy
title_full A Simulation Approach to Decision Making in IT Service Strategy
title_fullStr A Simulation Approach to Decision Making in IT Service Strategy
title_full_unstemmed A Simulation Approach to Decision Making in IT Service Strategy
title_short A Simulation Approach to Decision Making in IT Service Strategy
title_sort simulation approach to decision making in it service strategy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984762/
https://www.ncbi.nlm.nih.gov/pubmed/24790583
http://dx.doi.org/10.1155/2014/829156
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