You are here

Integrating computer-aided modeling and micro-simulation in multi-criteria evaluation of service infrastructure assignment approaches

Journal Name:

Publication Year:

Abstract (2. Language): 
Purpose: This paper proposes an integrated computer-supported multi-staged approach to the flexible design and multicriteria evaluation of service infrastructure assignment processes/ algorithms. Design/methodology/approach: It involves particularizing a metamodel encompassing the main generic components and relationships into process models and process instances, by incorporating structural data from the real-life system. Existing data on the target user population is fed into a micro-modeling system to generate a matching population of individual “virtual” users, each with its own set of trait values. The micro-simulation of their interaction with the assignment process of both the incumbent and the competitors generates a rich multidimensional output, encompassing both “revealed” and non-observable data. This enables a comprehensive multi-criteria evaluation of the foreseeable performance of the designed process/ algorithm, and therefore its iterative improvement. Findings: The research project developed a set of methodologies and associated supporting tools encompassing the modeling, micro-simulation and performance assessment of service infrastructure assignment processes.Originality/value: The proposed approach facilitates, in a multicriteria environment, the flexible modeling/design of situation-specific assignment processes/algorithms and their performance assessment when facing their case-specific user population.
796-804

REFERENCES

References: 

Abdelghany, A., Abdelghany, K. (2008). A micro-simulation approach for Airline Competition
Analysis and Demand Modelling. International Journal of Revenue Management, 2(3),
287-306. http://dx.doi.org/10.1504/IJRM.2008.020626
Bana-Costa, C.A., Fernandes, T.G., Correia, P.V.D. (2006). Prioritisation of public investments in
social infrastructures using multicriteria value analysis and decision conferencing: a case
study. International Transactions in Operational Research, 13(4), 279-297.
http://dx.doi.org/10.1111/j.1475-3995.2006.00549.x
Chiang, W.C., Chen, J.C.H., Xu, X. (2007). An overview of research on revenue management:
Current issues and future research. International Journal of Revenue Management, 1(1),
97-128. http://dx.doi.org/10.1504/IJRM.2007.011196
Gutierrez, M., Duran, A. (2011). Generic Model Base Design for Decision Support Systems in
Revenue Management: Applications to Hotel and Health Care Sectors. In C. Jao (ed.) Efficient
Decision Support Systems: Practices and Challenges-From Current to Future, 183-194.
Klevmarken, N.A. (2002). Statistical inference in micro-simulation models: incorporating
external information. Mathematics and computers in simulation, 59(1.3), 255-265.
http://dx.doi.org/10.1016/S0378-4754(01)00413-X
OMG - Object Management Group (2006). Meta-Object Facility (MOF) V 2.0 core specification.
http://www.omg.org/spec/MOF/2.0/PDF. Accessed 23 Feb 2012.
Pomerol, J.C., Barba-Romero, S. (2000). Multicriterion Decision in Management: Principles and
Practice. Kluwer Academic Publishers, Norwell.

Thank you for copying data from http://www.arastirmax.com