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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Main Authors: Elena Orta, Mercedes Ruiz
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/829156
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author Elena Orta
Mercedes Ruiz
author_facet Elena Orta
Mercedes Ruiz
author_sort Elena Orta
collection DOAJ
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 doaj-art-f362f8432b8c4ef9affb1f8f0ea6ef7e2025-02-03T01:01:51ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/829156829156A Simulation Approach to Decision Making in IT Service StrategyElena Orta0Mercedes Ruiz1Department of Computer Science and Engineering, University of Cadiz, C/Chile 1, 11003 Cadiz, SpainDepartment of Computer Science and Engineering, University of Cadiz, C/Chile 1, 11003 Cadiz, SpainWe 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.http://dx.doi.org/10.1155/2014/829156
spellingShingle Elena Orta
Mercedes Ruiz
A Simulation Approach to Decision Making in IT Service Strategy
The Scientific World Journal
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
url http://dx.doi.org/10.1155/2014/829156
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AT mercedesruiz asimulationapproachtodecisionmakinginitservicestrategy
AT elenaorta simulationapproachtodecisionmakinginitservicestrategy
AT mercedesruiz simulationapproachtodecisionmakinginitservicestrategy