TY  - BOOK
AU  - Shaw,Kenneth A.
TI  - Operations methods: managing waiting line applications 
T2  - Quantitative approaches to decision making collection,
SN  - 9781631570865
AV  - T57 .O647 2016
PY  - 2016///
CY  - New York, New York (222 East 46th Street, New York, NY 10017)
PB  - Business Expert Press
KW  - Queuing theory
KW  - arrival distributions
KW  - arrival rate
KW  - assembly line performance
KW  - cost trade-offs
KW  - deterministic process
KW  - Erlang distributions
KW  - Excel applications
KW  - exponential distribution
KW  - Kendall notation
KW  - limited population service
KW  - line capacity restrictions
KW  - Little's law
KW  - Markovian
KW  - memoryless
KW  - multiple servers
KW  - normal distribution
KW  - poisson distribution
KW  - priority queues
KW  - queues
KW  - queuing theory
KW  - service classes
KW  - service distributions
KW  - service process design
KW  - service process improvement
KW  - service rate
KW  - simulation methods
KW  - state diagrams
KW  - stochastic process
KW  - triangular distribution
KW  - uniform distribution
KW  - utilization
KW  - variances
KW  - waiting lines
KW  - waiting time
N1  - 1 (pages 169-177) and index; 1. Concepts, probabilities, models, and costs --; 2. The basics: single-channel, single-phase model --; 3. The basics: multiple-channel, single-phase model --; 4. More complex single-channel models --; 5. More complex multiple-channel models --; 6. Managerial considerations --; 7. Useful tools and simulation methods --; Appendix A. Glossary --; Appendix B. Symbol definitions --; Appendix C. Multiple-channel application data --; Appendix D. Simulation information --; Appendix E. Second edition supplements --; Notes --; References --; Index; 2; b; Also available in printing
N2  - Updated to integrate the management of associated information processes, expand some application discussions, and provide additional reference material, the intent of this monograph is to help business professionals use waiting line (queuing) analysis methods to improve both service and manufacturing business applications of queuing situations. Emphasis is given to discussing the caveats in applying waiting line theory and becoming aware of the assumptions used in developing that theory. The importance of accounting for variability in waiting line processes is discussed in some detail because the basic queuing equations provide only average performance data under steady-state conditions. Understanding how much variability can exist for a given waiting line scenario provides a manager with the insight required to reduce these effects and develop innovative solutions for improving service while reducing operating costs. In general the mathematical tone of the book is focused on applications, not the derivation of the formulas presented. The few derivation exceptions illustrate some approaches not commonly discussed in textbooks--for example, the use of state diagrams and random number approximations of the probability distributions for use in simple simulation models. To aid in understanding the material presented, some practical examples are given at appropriate points in the text and some simulation approaches using common spreadsheet software are described
UR  - https://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000439.html
ER  -