research-article

Discrete event simulation modeling of resource planning and service order execution for service businesses

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Jing XuAuthors Info & Claims

WSC '07: Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come

Pages 2227 - 2233

Published: 09 December 2007 Publication History

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Abstract

In this paper, we present a framework for developing discrete-event simulation models for resource-intensive service businesses. The models simulate interactions of activities of demand planning of service engagements, supply planning of human resources, attrition of resources, termination of resources and execution of service orders to estimate business performance of resource-intensive service businesses. The models estimate serviceability, costs, revenue, profit and quality of service businesses. The models are also used in evaluating effectiveness of various resource management analytics and policies. The framework is aided by an information meta-model, which componentizes modeling objects of service businesses and allows effective integration of the components.

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Cited By

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Orta ERuiz MHurtado NGawn D(2014)Decision-making in IT service managementDecision Support Systems10.1016/j.dss.2014.06.00266:C(36-51)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.dss.2014.06.002
Scales COkazawa SOrmrod M(2011)The managed readiness simulatorProceedings of the Winter Simulation Conference10.5555/2431518.2431819(2519-2529)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431819

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Published In

WSC '07: Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come

December 2007

2659 pages

ISBN:1424413060

General Chair:
Jeff Tew

Publisher

IEEE Press

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Published: 09 December 2007

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WSC07

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IIE
INFORMS-SIM
ASA
IEEE/SMC
SIGSIM
NIST
(SCS)

WSC07: Winter Simulation Conference

December 9 - 12, 2007

Washington D.C.

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WSC '07 Paper Acceptance Rate 152 of 244 submissions, 62%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Orta ERuiz MHurtado NGawn D(2014)Decision-making in IT service managementDecision Support Systems10.1016/j.dss.2014.06.00266:C(36-51)Online publication date: 1-Oct-2014
https://dl.acm.org/doi/10.1016/j.dss.2014.06.002
Scales COkazawa SOrmrod M(2011)The managed readiness simulatorProceedings of the Winter Simulation Conference10.5555/2431518.2431819(2519-2529)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431819

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A verification method for web service composition based on discrete event system modeling and simulation

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An environment for service composition, execution and resource allocation

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