Library activities management based on a simulation queuing model and an aspiration level model using statistical methods

Determining the number of computers to be purchased in order to achieve an optimum relation between access waiting time and server idleness, is a problem frequently encountered by library supervisors due to rapid development of informatics. In an attempt to solve this problem, in our research we applied a simulation queuing model, as well as an aspiration level model, as its extension. Simulation sets whose expected waiting time in system and idleness do not show statistically significant differences were identified in the paper by the analysis of variance and post hoc comparisons. The initial model was improved by this usage of inferential statistics methods, thus raising the decision-making efficiency in library management.

[1]  Hamdy A. Taha,et al.  Operations research: an introduction / Hamdy A. Taha , 1982 .

[2]  Michael Pidd,et al.  Computer Simulation in Management Science (3rd Edition) , 1998 .

[3]  Ilya M. Sobol,et al.  A Primer for the Monte Carlo Method , 1994 .

[4]  Frederick S. Hillier,et al.  Introduction to Operations Research (Second Edition) , 1976 .

[5]  Michael I. Baron,et al.  Probability and Statistics for Computer Scientists , 2013 .

[6]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[7]  Robert Mayo Hayes.  Models for library management, decision-making, and planning , 2001 .

[8]  Audrone Glosiene.  Project Management: Tools and Techniques for Today's ILS Professional , 2004, J. Documentation.

[9]  John Dagpunar,et al.  Simulation and Monte Carlo , 2007 .

[10]  Casey A. Volino,et al.  A First Course in Stochastic Models , 2005, Technometrics.

[11]  William J. Stevenson,et al.  Introduction to management science , 1992 .

[12]  J. Hough.  Theory and Problems of Operations Research , 1983 .

[13]  Paul Goodwin,et al.  Decision Analysis for Management Judgment , 1998 .

[14]  Henk C. Tijms,et al.  A First Course in Stochastic Models: Tijms/Stochastic Models , 2003 .

[15]  Barbara Allan.  Project Management: Tools and Techniques for Today's Ils Professional , 2004 .

[16]  Jr. Hanna Stair,et al.  Quantitative Analysis for Management , 1982 .

[17]  J. Dagpunar.  Simulation and Monte Carlo: With Applications in Finance and MCMC , 2007 .